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Guest Bio

Aviad Almagor is a product and technology innovation leader with more than 25 years of experience at the intersection of industrial sectors—spanning Architecture, Engineering, Construction & Operations (AECO), transportation, agriculture, and geospatial—and cutting-edge technologies. Trained as an architect, Aviad transitioned early into 3D design and disruptive digital tools, eventually pioneering large-scale adoption of mixed reality, robotics, and AI in these industries.

Today, as Vice President of Technology Innovation at Trimble, Aviad leads global initiatives that connect the physical and digital worlds—helping these industries become more productive, efficient, and sustainable.

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Guest Quote

"The big value is not in doing what we do today more efficiently or faster. The big value is in the redefinition of the work. The way we’re working with an agent, this is something that will evolve, and we need to design for that." – Aviad Almagor

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Time Stamps  

00:00 Episode Start

02:50 The history of Trimble

05:00 Setting higher standards for your data

08:05 Building trust in your data

11:20 Embrace complexity, reduce friction

16:00 The importance of IT / Business collaboration

20:15 Trimble's journey implementing AI efforts

23:55 Overcoming resistance to new tools

27:20 Specific examples of AI transformations

31:10 What stands in the way of AI adoption

38:10 The future for both predictive and generative AI

44:45 Aviad's advice for other CIOs

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Episode Key Takeaways

• Culture accelerates transformation: Trimble's collaborative, innovation-first culture enables bottom-up AI exploration, leading to enterprise-wide adoption. Executive support, psychological safety, and shared outcomes are essential to scale cross-functional AI teams.
• Think beyond productivity: AI’s value isn’t just in speeding up tasks, it’s in transforming how work gets done. GenAI can open creative workflows, reimagine design collaboration, and personalize user experiences.
• Predictive AI and GenAI work best together: Predictive models offer consistent, domain-specific analysis where GenAI adds creativity, natural interaction, and automation. When integrated, they can power end-to-end, intelligent workflows.

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Guest Bio

Siroui Mushegian, CIO, Barracuda

Siroui Mushegian is the Chief Information Officer (CIO) at Barracuda. Siroui joined Barracuda most recently from BlackLine, where she was responsible for all aspects of BlackLine’s internal corporate IT. 

Before BlackLine, she held executive IT leadership roles at PBS’s WNET New York Public Media, the NBA, Ralph Lauren, and Time, Inc. Bringing more than 20 years of executive and IT leadership experience, 

Siroui has successfully built strong operational environments that eliminate technology silos, elevated the maturity and impact of technology within her enterprises and delivered measurable and scalable business outcomes.

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Guest Quote

"Every day I ask myself: will this scale? Am I adding snowflakes or standardizing? With GenAI, we have a real chance to democratize scale. But scale isn’t just technical, it’s cultural. We need to make it easy for people to participate in transformation, not gatekeep it behind specialized roles or departments. GenAI gives us the platform to do that if we’re intentional about how we use it." – Siroui Mushegian

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Time Stamps  

00:00 Episode Start

03:20 How Gen AI transformation compares to previous technological evolutions

08:00 Enabling AI initiatives across the business

12:40 Increasing AI confidence within risk-averse functions

20:25 Making sense of the MIT study

26:05 Broader implications of democritized Gen AI access

29:55 The future of process automation with AI Agents

36:30 The scale mindset

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Episode Key Takeaways

• GenAI is an enterprise transformation, not an IT project: Unlike past tech waves, GenAI is driven from the top and embraced across every function from HR and legal to customer support. This shift requires IT to act as a partner and enabler, not just a solution provider.
• Governance should actually enable speed: AI pilots often fail due to lack of alignment, tooling chaos, or shadow projects that miss the mark. A clear framework for experimentation and governance helps avoid rework while accelerating safe, scalable deployment.
• A scale mindset is foundational to AI success: Scaling AI isn’t just about technology, it’s about designing solutions that avoid single points of failure and can be adopted company-wide. GenAI provides a rare opportunity to democratize innovation, but only if systems and processes are built with growth in mind.

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Guest Bio

Helena brings a wealth of expertise to the technology sector, with a career spanning over three decades across international markets. Her approach integrates technology as a catalyst for business enhancement, focusing on transformative strategies that bolster both revenue and profitability.

As CIO of IFS, Helena engages CIOs and tech leaders to help them with their strategic transformation journeys, as well as drives the effective application of technology within IFS to deliver better products and services to customers. 

Helena's professional narrative includes pivotal roles where she has crafted technology and data blueprints, pioneered new revenue channels within the tech space, and devised comprehensive compliance strategies. Her leadership has been instrumental in orchestrating company-wide transformations, developing core technology infrastructures, and implementing robust security measures.

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Guest Quote

"We still have it in our language: IT, and the business. The reality is IT is the business. There are no businesses in the world effectively anymore that can operate without IT, and it's disappointing that we’ve ingrained this division so deeply in our thinking." – Helena Nimmo

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Time Stamps  

00:00 Episode Start

02:15 Helena's big learnings over her career

05:55 Technology is not soley software

12:20 IT and business functions need to find harmony

16:05 What will AI transformation look like?

19:35 The human side of AI

25:20 How to prepare your organization for Agentic AI

32:25 Take your first step to AI transformation today

35:25 Where Gen AI can have the most impact on your enteprise

41:35 Final thoughts

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Episode Key Takeaways

• IT is no longer a support function: Organizations must move past the outdated language of “IT and the business.” Success with AI requires fully integrated, cross-functional thinking where technology and business outcomes are inseparable.
• Treat AI as a platform, not a collection of tools: Generative AI isn’t just another productivity tool. CIOs must architect enterprise-wide platforms that enable safe experimentation, scale adoption, and embed AI into workflows across the business.
• Knowledge sharing is key to agentic success: AI agents can’t operate effectively in siloed organizations. To unlock their full value, enterprises must surface institutional knowledge, foster collaboration, and overcome information hoarding.

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Listeners will learn how SNP scaled its platform by focusing on repeatable patterns, reducing project risk, and enabling non-technical users through intuitive design. Dominik also reflects on how generative AI is influencing the next chapter of transformation by accelerating onboarding, reducing manual tasks, and surfacing new opportunities across the enterprise landscape.

Whether you're leading a digital transformation, modernizing legacy systems, or exploring GenAI’s enterprise use cases, this conversation offers actionable guidance and hard-won lessons from a leader who's lived the journey.

Timestamps

00:00 Episode Start

02:50 How SNP Group accelerates time to value

07:15 Moving from consultation to transformation

16:00 Automation is inevitable

18:05 What GenAI unlocks for all enterprises

21:40 The importance of human guidance

25:45 Why democratizing tool sets should be your highest priority

29:45 Reflections from Dominik's career

33:10 Don't boil the ocean when automating

38:20 Thinking about automation differently

41:10 Final thoughts

Episode Key Takeaways

• Culture determines automation success: Without a culture that embraces experimentation and failure, even the best tools will stall. Leaders must encourage learning, iteration, and low-friction change.
• Let the field drive platform evolution: SNP’s most successful tools were shaped not by top-down requirements but by consultants building on real-world problems. Innovation thrives where freedom and feedback loops exist.
• Process ownership must be distributed: A single team or department can’t scale automation alone. SNP’s evolution proves that shared ownership enables faster problem-solving and continuous refinement.

Top Quotes

“In a dream of mine that hasn't come true yet, you're sitting there in a workshop with a customer, they tell you requirements verbally, you note them down, you take the transcript of basically what you have, and it automatically reflects in the software. With agentic behavior and function calling, this is actually quite possible, and it can bring the learning curve down quite a lot.”

“You will become the best engineer in automation if you are a subject matter expert. And what we’ve seen is that when we give our consultants the tools and the freedom to experiment, they come up with practical solutions we in R&D would’ve never imagined. That’s why democratizing toolsets should be your highest priority.”

“From a culture perspective, you need to build a company where failing and learning is an integrated part of the process, it’s not a flaw. If your thinking is always ‘when will this be delivered’ or ‘when will it be done,’ you miss the chance to find new opportunity. The best improvements come from failures you’ve actually made.”

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Timestamps

00:00 Episode Start

02:40 Canon's Gen AI Committee

06:25 Moving past a fear mindset

11:55 A spotlight on technologists

14:45 AI Integrated

22:20 The massive unlock with unstructured data

28:45 Analyzing the ROI of AI implementation

32:10 How these tools are democratizing knowledge across organizations

39:35 Is fear holding us back?

43:25 Michael's advice

Episode Key Takeaways

• Executive alignment is non-negotiable: Success with GenAI starts at the top. Canon’s committee model shows that broad adoption and cultural change only happen when executive leadership actively champions the vision.
• Democratization drives enterprise scale: GenAI lowers the barrier to technical innovation, enabling non-technical staff to ideate, experiment, and contribute. This shift is redefining what it means to be “digital ready” in the enterprise.
• Education eliminates fear: Resistance to AI often stems from a lack of understanding. Canon's emphasis on hands-on training, internal advocacy, and use-case transparency helps mitigate fear and build enterprise readiness.

Top Quotes

"When we started the AI committee, it wasn’t just to control risks, it was to unlock productivity and creativity while protecting the company. We built policies not to suppress, but to encourage innovation safely. That balance of governance and enablement has been critical to our success."

"Generative AI is removing barriers to innovation. You no longer need to be a seasoned developer to build real applications or automate business tasks. It’s democratizing expertise, allowing people with curiosity, not just technical skill, to drive transformation."

"This isn’t just about deploying tools. It’s a shift in DNA, in how we work and think. From executive strategy down to individual workflows, every function at Canon is now evaluating how AI can enhance efficiency and customer experience. It’s a complete cultural evolution."

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He also shares AT&T’s strategy for evolving from traditional workflow logic to asynchronous, agent-driven interactions that better mirror customer behavior. From managing petabytes of unstructured data to wrapping legacy mainframes with AI interfaces, John provides actionable insights for any enterprise looking to embrace generative AI.

Timestamps

00:00 Episode Start

03:00 A broad overview of how AT&T is leveraging AI

06:15 The best solution for scale 

09:30 Reshaping workflows to better serve customers

15:20 How to design your org's AI agents

20:55 Different models for different tasks

22:50 Empathizing with your customers 

29:35 Tackling legacy systems one step at a time

35:55 The data problem

44:15 Advice for others beginning their journey

Episode Key Takeaways

• Legacy systems don’t have to be a blocker: AT&T is proving that even decades-old mainframes can be modernized by “wrapping” them with AI agents. This approach enables gradual transformation without disrupting end users or retraining staff.
• Perfect data isn’t a prerequisite: Instead of waiting to clean every dataset, AT&T uses AI to surface and correct data quality issues in real-time. This lets them move fast while improving data fidelity through use.
• Empathy matters in AI adoption: User trust and satisfaction rise when AI interactions mimic natural human communication. AT&T saw measurable improvements by designing agents that pause, clarify, and respond with warmth.
• AI success is iterative, not linear: AT&T's most effective agents didn’t launch fully formed. They evolved through constant prompt tuning, testing, and feedback. Treat agents like teammates who learn and improve over time.

Top Quotes

“For companies trying to wait until they have perfect data, you’ll never have perfect data. So it’s better to just start. Even with imperfect data, you can begin to see meaningful trends and value, especially when your AI tools are designed to adapt and refine based on real-time feedback.”

“We’re wrapping legacy systems like a python [by] slowly squeezing out functionality until they’re obsolete. This approach lets us modernize without disruption, giving employees a seamless experience while we replace backend systems incrementally. Over time, those old systems just quietly phase out.”

“AI lets you break the traditional workflow logic. Now we meet customers wherever they are in their journey, instead of forcing them through a rigid sequence. It’s a shift from thinking about linear steps to enabling outcomes through flexible, asynchronous interactions.”

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Timestamps

00:00 Episode Start

03:14 Founding vision and evolution of Reltio

09:36 API-first approach and data unification

14:13 The role of AI in modern business processes

19:13 Driving business transformation through integration

22:43 Future of applications and data strategy

28:08 How GenAI is affecting data quality

33:10 Envisioning the AI-driven center of excellence

Episode Key Takeaways

• Unify data to unlock its full value: Siloed systems hold back AI progress. An API-first approach and the use of entity graphs help organizations bring together data from multiple sources. When data is unified and accessible, it becomes far more valuable for business and AI applications.
• Let AI do the heavy lifting on data quality: Most tools highlight data issues but don’t fix them. AI can go further by cleaning, disambiguating, and enriching data from unstructured sources. This keeps data accurate, reliable, and ready for action.
• Think in processes, not schemas: Rigid data models limit agility. A process-oriented mindset helps integrate workflows across departments, increasing flexibility and speed. Tools like Reltio and Workato can help streamline these integrations.
• Prepare for an AI-first application future: Applications are moving toward prompt-based and AI-driven interactions. Businesses should start getting their data ready and automating key processes. Those who do will be better positioned to compete in an AI-powered world.

Top Quotes

"That is the benefit of hindsight. Having been through the experience, having looked at the previous generation of technologies and capabilities. When I started Reltio in 2011, the core thesis that informed the foundation was the fact that companies, enterprises in particular, will continue to see an explosion in applications and therefore data silos.”

“I've never heard a business owner say they want to move slower. Everybody wants to move faster. Every business process, if they were able to do something in 30 days, they want to now do it in seven days. If they were able to do it in seven days, they want to do it in seven minutes. If they were able to do the same thing in seven minutes, they want to go down to seconds or milliseconds. And that's the natural progression that we will continue to see, where every business process needs to execute in a shorter timeframe, faster, without human intervention. And this is where agentic comes in.”

“Just by inserting AI in the middle of that business process, nobody is going to say that now, instead of a hundred, a thousand milliseconds is okay. In fact, the insertion of AI, the whole purpose of AI being inserted in the middle, is to make it faster. So when you think about that, the data that informs those decisions has to be available as the, always on, always accessible, fastest-moving piece of the entire puzzle so that you can get to that leverage, you can get to that business outcome in a shorter timeframe.”

“Applications will not exist in the manner we know of them today. We have to think about data differently where we have to not only think of it as a strategic asset, core data that runs your business being available at every given point in time for any business process, any decision that needs to be made, or any analytical process that needs to be informed with it. And this bridge or divide between analytical and operational will disappear because it's the same information that needs to be used in both places.”

“The tools today measure the quality of data, but they don't fix it. The remediation of that data also has to happen in parallel, and that remediation can be done by agentic capabilities. And especially now, doing some of the research that a human would do before, go out research certain detail, bring that back, validate certain pieces of information. All of those things can be automated through agentic capabilities. And that's how we are looking at the continuum, the entire lifecycle of data. All the way from sourcing to consumption, so that we can address all the lifecycle gaps in the middle and enhance the quality or the trust in the data, and then make it available for consumption across the enterprise.”

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Timestamps

00:00 Episode Start

02:45 History of workplace automation

06:00 Finding the right tool at the right time

13:35 Change management at scale

16:15 Who ends up implementing these new toolsets?

18:20 Challenges and success stories from real organizations

21:45 Getting ROI by learning from the past

24:10 Some underrated use cases for LLMs

26:50 Putting trust in GenAI toolsets

29:20 Are organizations ready from a data perspective?

32:45 Adapting at the same rate the world is changing

40:05 Leveraging AI to create better products 

44:20 Conclusion and final thoughts

Episode Key Takeaways

• The opportunity still exists in the back office: Despite clear value potential, finance, HR, and legal remain under-automated due to data, trust, and auditability concerns. These areas are poised for transformation with the right approach.
• Success depends on sticking with it: Many organizations fail not because their data or ideas were worse, but because they gave up too early. The companies winning with AI are the ones that iterate and persevere.
• Apply innovation where you have gaps: Don’t waste generative AI on processes that already work with existing automation. Focus on "white space" opportunities—areas where older tools failed or never reached.
• Use the right tool for the job: Traditional automation (like RPA) still delivers value in structured, rule-based tasks, while AI agents excel in dynamic, ambiguous environments like customer service and sales.

Top Quote

"Doing business process redesign, even doing some of these large ERP implementations…the world is moving so fast, these business processes are changing. By the time you’re done with the redesign, the world’s already moved past it. So you're constantly multiple steps behind. And I think now we're finally getting to a spot where technology can be flexible enough to adapt at the same rate the world is changing."

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Timestamps

00:00 Episode Start

04:50 Founding the TechPACT

08:20 The TechPACT's vision and mission

11:55 What levers are required for change

17:00 Importance of Inclusion

18:45 The TechPACT's impact

30:30 DEI in 2025: Addressing backlash and navigating forward

37:00 AI and its impact on diversity

46:00 Call to action for IT executives

Episode Key Takeaways

• Support the mission of TechPACT: Join the movement to close the digital divide by getting involved with TechPACT. Visit techpact.org, take the pledge, and share it with your network. You can also volunteer your time, skills, or resources to help drive representation and access in tech.
• Incorporate “Plus One” into your routine: Build inclusivity into your daily habits by adding one intentional action that broadens your perspective. That could mean reading a book from a different cultural lens, connecting with someone outside your usual circle, or expanding your candidate pool during hiring. Small, consistent steps can lead to lasting change.
• Standardize diverse hiring practices: Make it a norm to interview a diverse slate of candidates before making any hiring decisions. This not only supports equity and inclusion, it also helps you access a broader, stronger talent pool by widening the lens on what great looks like.
• Tackle AI bias and prepare for the future: Audit your AI tools for bias and make sure they’re built with fairness in mind. Invest in training your team for emerging roles like “AI artists” and “prompt engineers.” Encourage collaboration between humans and AI to spark exponential innovation, not just automation.

Top Quote

“ To really serve your consumers, you have to have a deep, deep level of empathy. And the great, especially the innovative companies, they anticipate needs sometimes before the consumer themselves anticipates those needs, and the way you do that is by bringing diverse perspectives to the table. And those diverse perspectives can come from all types of diversity, right? Sometimes it can be the things you see on the surface, like gender or race, but it can also be industry knowledge. But bringing those diverse perspectives to the table is where it starts.” - Michael Smith

“ Diversity is being invited to the dance, right? Inclusion is being asked to dance, right? Equity is having access to the dance floor. That's all equity is giving you access to get on the dance floor. There's a ramp there for you, if you need that. But belonging is wanting to dance if no one's looking at you. And so if we can really unlock the power of belonging in our organizations and we can then earn that discretionary effort of all our employees. If people feel as though they don't belong, and we've all had that feeling, we've been in places where we feel we don't belong. You're not gonna earn any extra effort from me. You're not gonna earn the power of my diverse background. But if I feel as though if I belong and I'm dancing as if no one's looking at me, then you're gonna earn my discretionary effort, which is gonna lead to amazing, extraordinary outcomes.” - Earl Newsome

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Timestamps

00:00 Episode Start

02:50 Ramak's journey at H&M

05:55 Impact of APIs on integration and enterprise architecture

12:15 Role of orchestration in composable architecture

17:50 Levels of orchestration

20:00 Business and IT collaboration: A cultural shift

24:05 Navigating digital transformation and lessons learned

30:20 Do your APIs provide business value?

32:30 Choosing where and when to go composable

38:15 The future of AI and orchestration

Episode Key Takeaways

• Keep control in decentralized environments: Shifting from a centralized to a decentralized model doesn’t mean losing governance. Establish clear guidelines and oversight to keep teams aligned on best practices like API first design. This ensures consistency, quality, and seamless integration across your ecosystem.
• Define your data models early: A strong data governance framework is key to building valuable APIs. Know how core data entities such as products, customers, and orders are structured. This clarity improves API design, boosts reusability, and simplifies integration across systems.
• Be strategic about composability: Don’t try to apply composability everywhere at once. Start where it makes the biggest impact in high change, high reuse areas. A focused approach helps prove value quickly, making it easier to scale success across the organization.
• Automate governance for seamless compliance: Instead of relying on documentation alone, build compliance into your development pipelines. Automated checks for naming conventions, data models, and best practices help teams stay on track without slowing them down.

Top Quote

“ I really think orchestration automation is the future if we want to have faster time to market and we want to deliver the outcome that we are set for. So also looking at the type of platforms to support us also is very super crucial. And what I'm excited about is that composability and modularity is now kind of part of our tech strategy, and I'm really looking forward to seeing how we can bring that to life.”  

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Timestamps

00:00 Episode Start

03:20 The enterprise architect's mindset

08:15 Key trends shaping enterprise architecture

12:45 COVID-19's impact on enterprise architecture

18:50 Composable architecture & the evolving tech landscape

27:55 Building a unified integration platform

32:30 RPA's impact on enterprise architecture

38:00 Breaking down concerns in adopting composable architecture

46:00 GenAI in enterprise architecture

Episode Key Takeaways

• Embrace composability for more flexibility: Break down big, rigid systems and try composable architecture where it can really make a difference. Focus on high-change, high-reuse areas to quickly prove the impact, and then expand from there.
• Integrate AI for quick wins: Start adding AI into workflows where it can make an immediate impact, like customer interactions. These small wins will build organizational confidence in AI and pave the way for broader AI integration.
• Make integration easier with unified platforms: Adpot unified integration platforms to reduce the complexity of connecting modern and legacy systems. This streamlines your architecture and ensures faster, more efficient system integration.
• Balance agility with good governance: Set up clear guidelines that let you innovate quickly, but maintain security and control. Focus on developing policies for low-code environments to keep systems secure and compliant without stifling progress.

Top Quote

“ I would argue in today's day and age, which company could really say that speed isn't a challenge? The ability to adapt and that agility is just fundamental for participating in an active economy today.”

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Timestamps

00:00 Episode Start

03:20 Understanding the truck Industry

06:35 Modernizing legacy systems

11:00 Integrating with legacy systems

18:45 The power of quality data

21:15  Leveraging AI for operational efficiency

27:25 Impact of AI agents

36:50 Building strong data foundations with AI agents

Episode Key Takeaways

Focus on solid data management: Get your data practices in shape with strong governance, quality checks, and clear protocols for sharing. Make sure to educate your team on data security to keep sensitive info safe.

Use AI agents to boost efficiency: Bring in AI agents to handle routine IT and customer service tasks. Set up a system where agents work together smoothly. Think AI-powered helpdesks that can manage simple questions, letting human agents focus on more complicated issues.

Update legacy systems with care: Take a close look at your old IT systems and explore how to upgrade or replace them with more modern, scalable solutions. Don’t just automate outdated processes, think about ways to simplify and enhance them.

Align IT with Business Goals: Build a strong partnership between your IT and business teams. Make sure your IT projects are aligned with what the business needs, helping streamline operations and add value for customers like using AI in HR to speed up recruitment and data entry, giving employees more time for strategic work.

Top Quote

“ Data is, for me, the key asset of a company and the data gives you the power to be intelligent as a company. You just need to learn to use it.”

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Timestamps

00:00 Episode Start

02:40 Who is Village Roadshow?

06:10 Arul's journey at Village Roadshow

11:30 Strategic IT transformation at Village Roadshow

20:50 Simplifying and standardizing technology

28:10 Rethinking IT transformation: Beyond ERP

37:30 Implementing composable architecture

41:45 Reflecting on Arul's journey: Lessons learned

Episode Key Takeaways

• Prioritize integration, not just upgrades: Don’t just upgrade systems in silos. Focus on building a cohesive ecosystem where everything works seamlessly together. This reduces complexity, improves efficiency, and ensures your tech stack is aligned with business goals.
• Build for agility with composable architecture: Create modular systems that are easy to scale, integrate, or swap out as needed. This flexible approach keeps your organization adaptable and minimizes disruptions during changes or upgrades.
• Put your people first: Whether it’s your customers or employees, focusing on their experience is key. Map out the customer journey, identify what matters most, and implement solutions that go above and beyond. A people-first approach boosts loyalty, efficiency, and growth.
• Work smarter with automation: Automation is a game-changer for getting more done with fewer resources. By rolling out low-code/no-code platforms and making automation accessible to everyone, teams can focus on meaningful, high-impact work while reducing the time spent on repetitive tasks.

Top Quote

“ As a leader, we need to think strategically and focus on the ecosystem rather than the system. That's the key element.”

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Timestamps

00:00 Episode Start

03:15 Evolution of Navan and COVID's Impact

14:40 Building resilience in adversity

25:00 Adapting to GenAI and Navan's use cases

34:55 Implementing AI in business processes

43:55 Advice for IT leaders embracing AI

Episode Key Takeaways

• Adapt and innovate in adversity: Stay flexible and quickly adjust to changes. Keep an eye on shifting user needs and be ready to pivot your strategy when necessary—like doubling down on products that are most relevant during times of crisis, such as COVID-19.
• Leverage technology despite its limitations: Don’t be discouraged by the limitations of new technologies. Embrace them by understanding their challenges and experimenting. Continuously refine how you use these technologies and find creative solutions to overcome their flaws, turning potential setbacks into opportunities for innovation.
• Maintain a user-centric focus: Keep the user front and center in everything you do. Build systems and tools that make their lives easier and solve problems in a way that’s seamless and hassle-free.
• Promote transparent communication and company culture: Be open and transparent, especially in tough times. Keep the lines of communication flowing with your team, whether through regular check-ins or all-hands meetings, so everyone feels aligned and supported.

Top Quote

“ Technologies, just like everything in life, they have the good things that they bring and they have limitations. You need to apply the right tool to the right problem.”

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Timestamps

00:00 Episode Start

02:55 Steve's career journey and passion for data

07:40 Importance of The New Automation Mindset

12:00 Exploring data-driven challenges in RPA

17:05 Bridging business and IT with integration

20:00 Maturity in data across organizations

24:45 Overcoming resistance to process democratization

34:00 Impact of GenAI on data democratization

38:00 Advice for aspiring IT and business leaders

Episode Key Takeaways

• Bring teams together: Break down silos by creating cross-functional teams that include IT, finance, marketing, HR, and more. Collaboration like this helps combine different perspectives, leading to smarter decisions and more innovative solutions.
• Empower everyone with the right tools: Equip your team with easy-to-use tools like Workato. These self-service platforms make it easier for non-technical users to work with data, automate tasks, and find valuable insights, boosting both productivity and confidence.
• Make learning part of your culture: Encourage curiosity and experimentation with new tools and technologies. Highlight wins, offer training, and celebrate a culture of continuous learning to spark innovation and creative problem-solving.
• Focus on clean, connected data: Great decisions start with great data. Invest in systems that ensure your data is clean, well-integrated, and accessible. This sets the stage for advanced tools like GenAI to deliver accurate, actionable insights.

Top Quotes

“Data professionals are not just in IT, they're certainly there, but also, others across every function. Data really knows no function. It sits in your marketing organization, your HR organization, it sits everywhere. So, you have to develop a strategy when you're transforming, where you have an integrated way to welcome everybody to the data dance.”

“You have to make a bet that if you empower people and democratize these tools, there will be great outcomes.”

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Timestamps

00:00 Episode Start

4:10 Overview of BCG's AI Report

10:10 The role of AI agents

18:10 Why good data matters for AI

26:35 Integrating AI into business processes

30:20 Building the right IT and business team for AI

36:37 How AI is shaping traditional IT transformation

39:47 Rethinking AI adoption

Episode Key Takeaways

• Focus on core workflows: Identify and prioritize the workflows that directly impact your competitive advantage. AI leaders are targeting mission-critical processes to maximize efficiency and impact.
• Rethink the operating model: Implementing AI requires more than just adopting new technology—it demands a full overhaul of your operating model. This includes realigning employee incentives, adjusting meeting structures, and embedding AI deeply into your business operations for long-term success.
• Quality data is crucial: AI can only be as effective as the data it’s trained on. Take the time to clean up and review your data sources. Bad data will lead to bad insights, so ensuring your data is accurate and complete is key to success.
• Build the right teams: AI integration needs both business insight and technical know-how. Build cross-functional teams with business owners, IT, and data scientists—ideally led by a strong product manager or agile coach—to ensure your AI projects are a success.

Top Quote

“I'm seeing Gen AI over the last two years, just being this trigger or a catalyst to put a lot of these perennial and constant topics visibly on the table.”

BCG Report: Where’s the Value in AI?

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Download the IT Identity (ITID) and Information Systems (IS) Adoption Summary of Findings here: https://bit.ly/ITIDSoF

Timestamps

00:00 Episode Start

03:56 Sam's career journey

06:08 Sam's research in a nutshell

13:05 Applying IT Identity Archetypes to Workato

18:46 Overcoming challenges and resistance to change

28:01Transforming IT and business collaboration

37:39 Real-world success stories

Episode Key Takeaways

• Identify key influencers early: Engage technophiles or experts within your organization to act as ambassadors for new technology. Their enthusiasm and influence can help drive broader adoption and acceptance.
• Use behavioral data to drive adoption: Run simple surveys to assess your team’s readiness for change. Use this data to create more targeted enablement efforts that directly address specific readiness levels and concerns.
• Customize messaging and training: Leverage IT Identity Archetypes to personalize communication and training for different employee groups, ensuring your enablement strategies align with their unique motivations and needs.
• Build a collaborative IT-business culture: Foster open communication and teamwork between IT and business teams, encouraging joint problem-solving to drive successful technology adoption and seamless collaboration.

Top Quote

“Organizations can experience an increase in [tech] adoption by as much as 20 to 25 percent by making some small changes to their transformation programs.”

“The goal again is to get alignment. Once you do it once, once you do it twice, you're never going to go back because now you're really finding a way to cater the message, the value to the needs of the individuals. It becomes like a flywheel.”

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Timestamps

00:00 Episode Start

02:30 Tal's journey and experience

05:45 Transitioning from project-minded to product-minded

10:45 Leveraging Atlassian products with GenAI

13:35 Atlassian's finance transformation with Workato

16:30 Balancing buy vs. build in IT

22:20 Tal's insights on the New Automation Mindset

27:30 Centralized vs. Federated IT Organization

31:20 Advice for aspiring IT leaders

Episode Key Takeaways

• Embrace data literacy: Build expertise in data science fundamentals to understand data representation, interpret charts, and derive actionable insights. Leverage these skills to prioritize initiatives, enhance products, and foster data-driven decision-making within your organization.
• Harness AI for automation: Incorporate AI-driven analytics and automation tools into your IT workflows to optimize operations and eliminate manual, repetitive tasks. This approach can significantly boost productivity, leading to faster and more accurate results.
• Adopt a strategic IT framework: Transition from a project-centric to a product-oriented IT organization by embracing a long-term perspective. Gain a deep understanding of business challenges, prioritize innovations that deliver real value, and invest in areas that offer significant competitive advantage. Focus IT resources on strategic business priorities.
• Implement a flexible IT structure: Embrace both centralized and federated IT models tailored to your business requirements. Create specialized solutions for different departments while ensuring seamless integration and a cohesive customer experience. This adaptability enhances operational efficiency and responsiveness in your IT operations.

Top Quote

“I think there are great opportunities for everyone at this point, not just a younger me or my children, but all of us to think about how to become more data literate and how to use AI and some of the LLM capabilities today to solve problems that we all have had in a faster, more efficient manner.”

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Timestamps

00:00 Episode Start

02:45 Common IT Challenges

12:20 The role of the modern CIO

18:55 Strategies for IT and business fusion

22:40 Navigating change management

30:00 Key roles for success

35:40 How GenAI will impact business growth and tech adoption

Episode Key Takeaways

• Get to know the business goals: Take the time to really understand the different functions and their priorities. This deeper insight helps you ensure that your tech solutions hit the mark and genuinely support what the business needs.
• Make change management a priority: Focus on creating a solid change management plan to help everyone get on board with new technologies. Keep communication clear and invite users to get involved early, so they can see the benefits firsthand and share their feedback.
• Empower your tech champions: Find those enthusiastic individuals in different departments who love technology. These champions can help spread the word about new tools, share their experiences, and encourage others to join in on the excitement of adopting new solutions.
• Find the best use cases for new tech: Collaborate closely with business units to discover where new technologies can make a real difference. By working together, you can identify impactful use cases and ensure that your tech investments truly benefit the organization.

Top Quote

“Technology leaders are not technology leaders. They’re business leaders first who happen to do technology. It's a subtle but important mind shift to say I'm here to serve the business.”

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Timestamps

00:00 Episode Start

02:29 Ravi's career journey and transition to Box

06:20 Evolution of the CIO role

14:10 Impacts of SaaS application sprawl

19:35 Strategies for managing application sprawl

29:45 Embracing composable architecture

36:15 Balancing custom development and packaged solutions

41:00 Impacts of AI on business applications

Episode Key Takeaways

• Start with enterprise and data architecture: Bringing on an enterprise architect and a data architect early in your organization’s journey can really simplify things and help you scale effectively. Laying down these foundational pieces early on will make future integrations smoother and keep your organization agile as you grow.
• Simplify your application portfolio: Take the time to review all your current applications and see what they do, how much they cost, and who owns them. Identifying overlapping functions can help you prioritize which applications to consolidate or retire, saving you on administrative costs and streamlining your operations.
• Embrace composable architecture for flexibility: Combine your core applications with smaller, adaptable solutions using a composable approach. This will help you quickly respond to changing business needs while ensuring that essential functions are backed by reliable, long-term applications, enabling innovation and a competitive edge.
• Leverage GenAI to enhance processes: Use AI and generative AI to boost your business processes, whether it’s marketing campaigns, customer service, or internal workflows. Focus on building a flexible and secure system that can integrate AI capabilities throughout your organization, ensuring that your AI investments create real, measurable benefits.

Top Quote

“Teams that are aligned, businesses that are aligned and are in sync execute so much better and are so much more successful. I don't think it should be any different for technology.”

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Timestamps

00:00 Episode Start

03:50 Yanni's work at Oxy

07:20 Innovative technologies and investments

09:55 Exploring software-defined plants and digital twins

16:30 Optimizing with a scale mindset

22:10 Cloud adoption journey at Oxy

28:20 Leveraging advanced technologies for future IT Innovations

32:25 Advice for successful cloud adoption

40:00 Economic impact of software-defined plant models

44:45 Future roadmap at Oxy

Episode Key Takeaways

• Forge visionary partnerships: Collaborate with vendors and partners who align with and support your innovative vision. This alignment can streamline the adoption of new technologies and processes.
• Pinpoint a transformational cloud project: Identify a high-impact project that can justify your move to the cloud. This project should enhance capabilities and agility, helping to build a solid business case for cloud adoption and drive organizational change.
• Prioritize skill transformation: Focus on transforming your team’s skills to align with new technologies. Investing in their growth and development ensures faster, more efficient project execution and enhances their marketability.

Top Quote

“ Just the fact that you move to the cloud doesn't mean much to them unless you engage them from a data perspective. And show them how data now will unlock opportunities that otherwise are not there or they're extremely difficult to make happen.”

“I would advise anyone who hasn't yet embraced or engaged in this type of transformation to spend a lot of time engaging the people and making sure they understand the value proposition—what’s in it for them—in executing this. Along with finding that transformational project that inside the company that will really drive value and be visible as a value delivery.”

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Timestamps

00:00 Episode Start

04:00 Balancing IT leadership and customer perspective

04:55 Lenovo powers Lenovo: Internal innovations

09:05 Exploring IT process innovations and AI opportunities

14:30 How removing barriers can empower your teams

20:50 Supply chain resilience during COVID-19

26:35 Centralized vs. decentralized vs. federated IT governance

31:20 Cultural integration in global IT operations

37:25 Lessons from providing IT services

Episode Key Takeaways

• Embrace Customer-Centric IT: It’s crucial for IT organizations to operate with the same level of accountability and service quality as if they could lose their internal “customers”—the business units—to external competition. This mindset will sharpen focus on meeting SLAs and enhancing end-user satisfaction.
• Leverage External Insights: Recognize that learning from external customers and other companies can provide invaluable insights. Embrace external benchmarks and customer feedback to continually improve and innovate within your IT operations. 
• Foster collaborative, cross-functional teams: Break down silos and encourage collaboration across roles. By focusing on the customer journey and integrating diverse expertise, you’ll drive better outcomes and a more cohesive team environment.
• Cultivate and evolve your company culture: Invest regularly in nurturing your organizational culture. Establish clear norms and create opportunities for team bonding to enhance coordination and reduce friction, especially in diverse, global teams.

Top Quote

“The most powerful insight that we now apply, and I try to bring to my work and also with customers, is how do we take things that are automated perhaps very deeply, but not very broadly? And how do we use the process mindset to get out of those and actually think how do we have a better whole? An analogy that we use is everyone is trying to build some kind of a highway. But unless you have that integrative either journey or experience that you're targeting, then you end up with this mishmash, the off-ramps might not be connected, things don't actually work together very well. And so it's important to have an overall plan and as well as being able and willing to maintain that.”

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Timestamps

00:00 Episode Start

02:20 Workato automation projects at Ciklum

05:35 GenAI client use cases

12:15 Challenges in business process management

20:40 Introducing Workato Agentic and its impact on process management

29:50 Future of AI agents in business processes

33:50 Overcoming client resistance to LLM integration

39:40 GenAI's impact in reshaping business systems

44:35 What's next in AI and automation?

Episode Key Takeaways

• Build a solid process foundation: Start with clear and well-structured business processes. Involve all relevant teams in mapping out these processes and address inefficiencies early. This groundwork will make it easier to use automation and AI effectively.
• Implement integration and automation tools: Leverage platforms like Workato to connect different systems and automate key tasks. Focus on improving data synchronization and streamlining activities such as HR onboarding or customer support to boost efficiency and accuracy.
• Utilize GenAI for better customer interactions: Implement GenAI to enhance customer service and automate complex decision-making. Tools like AI-driven chatbots and virtual assistants can improve customer interactions and help you gain valuable insights from your data.
• Adopt Digital Twin Technologies: Consider using digital twins and agentic AI models to manage and optimize your processes. These technologies simulate decision-making and adapt in real time, creating more personalized, efficient, and responsive systems.

Top Quote

“No matter how advanced your tools, your technologies are, the effectiveness of any project hinges on a clear, well-structured process foundation. So one of the biggest lessons is that understanding the fine details of business processes allows us to automate and optimize them effectively.”

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In this episode, Markus Zirn and Steve Lindsey dive into the evolution and future of physical security systems. Steve discusses LVT's cutting-edge D3 system, which integrates IoT, AI, and cloud technology for proactive security, setting it apart from traditional methods. They explore how event-driven architectures enable real-time threat detection and deterrence, the importance of cloud adoption, and how platforms like Workato are reshaping business and IT integration. Throughout this conversation, Steve shares key insights into how these innovations are revolutionizing physical security.

Timestamps

00:00 Episode Start

02:35 Understanding LVT's D3 System

11:00 LVT's Journey: Challenges and growth

19:10 Overcoming misconceptions about the cloud

24:50 Building an orchestration platform

37:40 Navigating integration challenges

48:45 Bridging IT and business with event-driven integration

53:55 Future of physical security

Episode Key Takeaways

• Embrace event-driven architectures: Dive into event-driven architectures to make your services more agile and scalable. By using asynchronous workflows, you can simplify maintenance and avoid the headaches of traditional point-to-point integrations.
• Adopt the cloud for flexibility: Explore the benefits of cloud-native services for your security and enterprise solutions, just like LVT’s D3 system. The cloud makes deployment faster, more cost-effective, and scalable, helping you manage systems across different locations without being tied to local IT setups.
• Invest in orchestration platforms: Leveraging orchestration platforms can streamline your business processes. These tools help you separate business logic from connectivity, letting you tweak workflows quickly and adapt to changing needs with ease.
• Align IT with business goals: Bringing IT and business operations together can make your solutions much more effective. By using event-driven architectures and orchestration platforms, you can ensure that your IT efforts directly support your business goals, leading to greater agility, smarter decisions, and smoother operations.

Top Quote

“We inherently were solving problems and innovating with a decentralized approach because of necessity. So, as we developed the solution for that, it became the enabler for scale for our business. And it was the only way that it was going to work.”

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Timestamps

00:00 Episode Start

03:20 Why a federated delivery model?

14:45 Federated delivery across industries

18:56 Integrating API-led and event driven architectures

22:20 Advice for starting federated delivery

29:08 The citizen integrator dilemma

32:35 Suresh's greatest achievements with federated delivery

37:23 Importance of a product mindset

Episode Key Takeaways

• Adopt federated delivery for scalability: Enhance scalability and flexibility by decentralizing integration tasks. Train teams to handle integrations independently, while maintaining central oversight for governance.
• Create a marketplace for reusable assets: Build a central marketplace with reusable APIs, templates, and tools. Encourage teams to share and utilize these resources, fostering collaboration and efficiency.
• Embrace a product mindset for APIs and events: Shift to treating APIs and events as products. Assign owners to manage them with ongoing updates, customer feedback, and continuous improvement.
• Empower teams through integration champions: Establish integration champions to support federated teams with training, ongoing support, and regular workshops, ensuring successful implementation and continuous learning.

Top Quote

“Enablement is not a one time fire and forget exercise. It is a continuous exercise. So you need to have integration champions in your integration center for enablement team so that integration champions continuously engage with all the federated teams. They are not like policemen. It is more like a customer success person. So they engage with that federated teams to continuously educate them.”

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In this episode, Markus Zirn and Angela Stewart explore the future of AI-driven business transformation. Angela shares insights from her extensive career in CRM and digital transformation, along with her current leadership role at Nasdaq, where she drives strategic initiatives. They explore how tools like Workato are revolutionizing automation projects and offer practical advice on harnessing the power of GenAI. Angela wraps up with crucial advice on how to align new technologies with business goals to ensure impactful and successful implementation.

Timestamps

00:00 Episode Start

02:06 Understanding Nasdaq

03:55 Angela's background

10:00 Angela's responsibilities at Nasdaq

13:30 Implementing Workato at Nasdaq

19:30 Adopting AI and strategies for digital transformation

26:20 Aligning AI with business processes

32:00 Future of business technology

35:50 How to get started with GenAI

Episode Key Takeaways

• Embed AI into your digital transformation: Integrate AI into your broader digital plans for greater impact. Focus on use cases that align with your goals and ensure ethical and legal standards are met.
• Prep your data: Data is the lifeblood of AI so make sure your data is clean and complete. Remove duplicates and fix errors to ensure your AI delivers top results.
• Build a cross-functional team: Create a team of tech and business experts. Include product owners who understand both areas and identify a decision-maker from the beginning to lead and maintain progress.
• Empower your team with intuitive tools: Provide user-friendly automation and integration tools. Democratizing technology means everyone gets to play and win in the AI game. Your business will be more agile, responsive, and innovative.

Top Quote

“AI is not a stand-alone initiative, it should be a part of a digital transformation initiative. And so, ultimately, there's a roadmap, there's an evolution of whatever you're trying to do, and AI, automation, should be a piece of that. But the very first step would be to identify the use case. Who are we trying to do this thing for? Who is this going to benefit? Really kind of understand their day-to-day life, and put your arms around how this AI solution, use case, will benefit them.”

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Timestamps

00:00 Episode Start

02:51 Defining automation in Siemens' context

04:45 Evolution of factory automation

10:45 From traditional automation to data-driven orchestration

16:30 Dirk's career journey and lessons learned

28:30 Debunking  ‘enterprise grade’ myths

35:32 The rise of low-code solutions

43:41 AI's impact on manufacturing

Episode Key Takeaways

• Leverage data-driven automation: Utilize data analytics tools to monitor real-time information and context. Train your team to interpret this data for informed, adaptive decisions in your automation processes.
• Adpot low-code solutions for increased productivity: Empower your staff with low-code tools to create applications tailored to their workflow needs. This democratizes development and accelerates digital transformation.
• Harness the speed of software: The core idea Dirk stresses is the need for industries to transition to digital and software-defined frameworks to operate at the speed of software. This shift optimizes processes, boosts productivity, reduces resource consumption, and enhances sustainability.
• Embrace the cloud: Evaluate your current infrastructure and consider migrating legacy systems to cloud platforms. Leverage cloud-based AI and machine learning services for improved operational efficiency and innovation.

Top Quote

“Our vision is what if you can define industry by code? So it's all software, because software, of course, is much faster. So we want to get our customers to work at the speed of software and be data-driven. And that is the real revolution that will happen because that might change everything.”

Guest Bio

Dirk Didascalou is a distinguished technologist and business executive known for his leadership in mobile communications, Internet of Things (IoT, cloud computing, and industrial digitalization. As the Chief Technology Officer at Siemens Digital Industries, Dirk is responsible for shaping the technology and architecture strategy on a global scale. 

Prior to joining Siemens, Didascalou held significant roles at AWS as Vice President for IoT and at Microsoft as Corporate Vice President of Technology following Microsoft's acquisition of Nokia's Mobile Phones division. His extensive experience in these positions has solidified his expertise in IoT solutions and cloud technologies, positioning him as a key player in the digital transformation landscape.

At Siemens, Didascalou oversees strategic industrial partnerships and initiatives, particularly in the automotive sector, while also contributing to the company's IoT board. His leadership is instrumental in merging digital and physical worlds, helping customers leverage advanced technologies to enhance operational efficiency and drive data-driven decision-making across industries.

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Timestamps

00:00 Episode Start 

03:23 Stephen's career journey

09:55 Importance of architecture to scale IT

13:45 Overcoming traditional mindsets with your customers

15:00 Customer success stories at Samsara

18:35 Fostering a growth mindset for innovation

24:00 Strategies for scaling across business and IT

28:35 IT leaders and the shift to a business technology focus

31:30 Challenges with outsourcing

37:20 AI vs. automation

41:40 Embracing the AI revolution

Episode Key Takeaways

• Embrace a product mindset: Transform your IT operations from rigid project-based work to a dynamic, product-oriented approach. This agility will sustain your growth and keep you ahead of the curve.
• Harness the power of AI: Dive into AI-driven automation to eliminate repetitive tasks and uncover intelligent business insights. Start experimenting today to unlock your organization’s full potential.
• Master your data: Invest in top-notch data management systems to ensure your AI initiatives are built on a solid foundation. Remember, quality data management is the key to meaningful, actionable insights.
• Cultivate an Innovative Culture: Foster a growth mindset and an environment that encourages experimentation. By supporting innovation, you’ll pave the way for groundbreaking improvements and operational excellence.

Top Quote

To do AI well, you really have to have enterprise-grade data. And so you can think about it almost like a garbage in, garbage out problem. Whereas if you have crappy data, you don't have enterprise-grade data, you have quality issues, you don't have the ability to kind of integrate that full picture of your data and your business. You can expect to have crappy outcomes when it comes to AI as you're training these models. You can't expect to have high-quality outcomes as a result of this. So to me, data management and your data strategy and AI really go hand in hand for organizations.”

Guest Bio

Stephen is the CIO at Samsara. He oversees all aspects of the company’s Information Technology including, business applications, data & analytics, information security, IT service management, and all core IT services.

Before joining Samsara, Stephen was the CIO at Slack, and then previously the Vice President IT, Enterprise Applications at Workday. He also held positions at Cisco in a range of e-commerce, employee services and IT roles.

Stephen has a track record of creating best in class IT organizations that focus on automation engineering and enabling companies to scale and remain agile as they grow.

He earned his bachelor of science, with honors, in Computer Science from the University of Edinburgh, Scotland.

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In Season Three, we'll tackle really tough questions IT leaders are facing today. You'll hear all about business processes, organizing team members, change management, culture, Gen AI, agentic workflows, and more.

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Timestamps

*(00:00) Episode Start

*(04:50) Why Arup has embarked on their digital transformation journey

*(09:52) The winning focus on collaboration

*(11:40) Building guardrails around innovation

*(14:53) From big data to big processes

*(23:09) Maintaining data integrity across flows

*(29:20) Added complexities in the AEC space

*(32:14) Why Tembi has such a passion for data

*(37:52) The importance of getting your hands dirty

*(41:20) Practical use cases for Gen AI

*(48:28) Tembi's advice for others on the journey

Episode Key Takeaways

• Data Integrity is crucial: Ensuring the integrity of data as it moves through various processes and systems is vital. It’s not just about transferring data; it needs to maintain its accuracy and quality at every stage.
• Collaboration is key: Strong internal and external collaborations are necessary to tackle complex projects. Engaging with multiple stakeholders, from engineers to architects and clients, ensures a collective approach toward achieving goals.
• Utilize custom applications and innovations: Invest in developing and leveraging custom applications that can support specific industry needs, such as parametric design for engineers or specialized simulation tools.
• Start small with GenAI: Begin with manageable use cases of GenAI to understand the value it can bring to your company and identify any gaps in your data management strategies.

Top Quote

“We always ask, as data leaders, is how do we make sure that the business consumer who's not technical can leverage this technology? A lot of technology can be highly technical, the barrier to entry can be really onerous and complex. And that makes it really difficult, especially if you want to federate some of the data services that people need to be able to do by themselves. And so you need something that's at least visual, that has a process mind behind it because a lot of business consumers are thinking about the process and what they need to get to, not necessarily the technical complexity behind it. So, I agree with you that I think the visual component, the simplification is really powerful.”

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Timestamps

*(00:00) Episode Start

*(02:05) Stanley's career journey

*(06:05) What is Broadcom?

*(10:58) How to leverage technology effectively

*(15:38) Importance of fast implementation with cloud-first technologies

*(18:30) Workato's impact at Broadcom

*(32:45) COBOL vs. Workato: Changes, constants, and advice

*(38:50) Areas of opportunity with Workato and the impact of GenAI

*(42:16) Impact of LLMs on automation

*(45:12) Leveraging Workato for cost-effective automation and integration

*(48:25) Stanley's takeaway from 'The New Automation Mindset' book

Episode Key Takeaways

• Adopt a cloud-first strategy: Emphasize the adoption of cloud-first technologies to ensure quick and scalable solutions that can accommodate rapid growth and change. This approach will speed up how you roll out new ideas and scale them up.
• The importance of a process mindset: Before diving into any automation or coding, take the time to map out your processes and workflows. This will not only clarify what needs to be done but also highlight areas for simplification and efficiency gains.
• Embrace future technologies: Acknowledge the inevitability of change and keep an open mind to emerging technologies such as AI and automation tools. Consider how they can be integrated into your operations to enhance efficiency, scalability, and user experience.
• Leverage automation and AI for efficiency: Use automation and AI to streamline repetitive tasks, scale operations effectively, and manage complex challenges with greater precision. Explore how these technologies can be applied to your specific challenges to drive substantial improvements.

Top Quote

“Embrace the future. You cannot stop technology. It's coming, no matter what you do. You have to embrace this, and this is the new way of operations. Times are changing. People are looking at speed and efficiency and scalability. And there's no way you can stop it, Markus. So, the idea of embracing this. And you can actually do extraordinary things with it if you embrace the technology.”

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Timestamps

*(00:00) Episode Start

*(02:23) Understanding the Royal Commission into Aged Care Quality and Safety in Australia

*(05:16) Tristan's career journey

*(14:22) Challenges technology leaders face in aged care

*(23:30) Tristan's driving forces in his work

*(27:18) IT's role in simplifying government processes

*(35:50) Key takeaways from ‘The New Automation Mindset' book

*(41:22) Improving efficiency with Tristan's 'Operational Digital Toolkit'

Episode Key Takeaways

• Optimize your workflow with process mapping: Begin by mapping out your workflows to thoroughly understand your processes and pinpoint areas for improvement. This fundamental step is crucial for enhancing efficiency and achieving operational clarity.
• Boost agility with low-code platforms: Empower your team to adapt quickly with low-code platforms. These user-friendly tools enable rapid development and deployment of solutions, enhancing your organization's agility and responsiveness to change.
• Future-proof your operations through composability: Design systems and processes to be flexible and adaptable. Embracing modularity ensures easy adjustments to evolving challenges, keeping your operations resilient and ready for the future.

Top Quote

“Decomposition is right at the center of our enterprise architecture. We want to use best in breed products and connect them together in a smooth transition, an easy connection, so that we can get the data transfer between systems. And actually the Workato product is what we landed on to do that. It has all of these attributes, it has an ability to be used in a very powerful and flexible way. Is it fast? Absolutely. We can develop stuff really quickly in there. Does it have flexibility? Yes. We can do all sorts of things with it that, in fact, we're discovering some things that weren't even in our original intent, but we're playing with those things just to understand the boundaries.” - Tristan Cox

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Timestamps

*(00:00) Episode Start

*(02:50) What is Uptempo?

*(04:47) Why automating the back end of marketing matters

*(08:34) Workato’s Impact at Uptempo

*(14:42) Role of integration in marketing strategies

*(17:24) 'The New Automation Mindset' and its impact on the CMO role

*(22:30) Turning big data into big marketing operations

*(28:29) AI revolution in marketing

*(35:50) How to scale through integration

Episode Key Takeaways

• Automate the back end of marketing: Simplify your marketing processes by automating back-end tasks. Ditch the spreadsheets and embrace efficiency, saving time and reducing errors in planning, budgeting, and execution.
• Merge your marketing and finance data: Unify marketing and financial data for deeper insights. This will enable your team to track spending, measure effectiveness, and adjust strategies confidently while empowering your CMO to make more informed decisions.
• Embrace AI in your marketing: Harness AI to enhance marketing efforts. From content creation to campaign planning, AI boosts efficiency and provides valuable insights, keeping you ahead of the curve.

Top Quote

"Change management in any organization is difficult. But take a global organization that's got 5,000 marketers, and they're organized into different regional groups and each wants to go to market in their own unique way. So that whole idea of the automation mindset is, by integrating these systems and then applying smart automation, smart business practices, you can actually begin to pull this system together into something that gives you the agility you need."

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Timestamps

*(00:00) Episode Start

*(03:25) Business applications as a 'digitization of paper systems'

*(05:22) iCIMS's integration journey

*(12:15) How iCIMS is scaling adoption of integration

*(19:00) Workato's impact on iCIMS’ next-gen business applications

*(21:38 iCIMS’ AI and GenAI journey

*(31:55) Responsible AI in sensitive data

*(43:10) How to enhance business applications with low code integration, event-driven workflows, and AI

Episode Key Takeaways

• Transition to outcome-driven applications: Evaluate your current business applications to identify areas where they simply digitize existing processes. Transform them into tools that actively achieve desired outcomes, leveraging tech for added value beyond digitization.
• Leverage low-code platforms for better integration: Assess your integration challenges with low-code platforms. Start small to familiarize your team, then expand gradually. This approach can help streamline your business processes, making them more adaptable and efficient.
• Adopt event-driven workflows: Identify business processes that could benefit from becoming more dynamic and responsive. Automate with event-driven architectures to enhance agility and reduce manual processing.
• Implement responsible AI practices: Begin by auditing your current use of AI to ensure it aligns with ethical guidelines. Consider where generative AI can enhance your operations without introducing bias. Focus on transparency, allowing users to understand how AI decisions are made, and involve them in the process to ensure outcomes are fair and balanced.

Top Quotes

“When we look at scaling, it's not just ‘can we deploy more customers,’ right? It’s ‘can we load larger volume data? Can we put more customers on the platform without degradation? Can we scale globally? How do we just make smarter integrations so that it's faster to deploy same day? We get them up and running in an hour.’ So there's lots of facets in scaling that come to play in automation and integrations that we've really been looking at. As technology gets smarter, and these customers continue to want more automations, they're not settling with what they have. They're always pushing those boundaries.” - Kerry Officer

“I don't think anybody says, ‘Hey, I want to do the 10 steps that it takes for me to generate a job offer for Markus.’ But I'd like to generate a job offer for Markus. That's the outcome I want to get to and I may or may not be an expert user of the software to do that. And look, there are regulatory steps in there that I need to make sure get covered. But why can't the technology help me pre-populate, know what things need to be done, take me as if it was an expert to the outcome steps and let me handle the differential things that I need to be the value add, decision-maker on. That's what we're working on as kind of the next step with this technology.” - Al Smith

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Timestamps

*(00:00) Episode Start
*(05:05) Kamlesh's 15-year journey at Amazon
*(16:18) Capital One vs. Amazon: Similarities and differences
*(20:10) Benefits of going cloud-native
*(25:42) Is on-prem more secure than the cloud?
*(30:50) Impact of Jeff Bezos' 'Build APIs or you will get fired' memo
*(38:16) Capital One's strategies around data and AI
*(41:45) Understanding Capital One's Auto Navigator
*(46:10) How the cloud transformed culture at Capital One

Episode Key Takeaways

• Make the shift to the cloud: Transitioning to the cloud offers more than just cost efficiency. It unlocks agility, fosters innovation, and elevates customer satisfaction. By harnessing cloud technologies, you can catalyze business transformation and cultivate a culture of scalable innovation.
• Adopt an API-first strategy: Follow industry leaders like Amazon. Embrace service-oriented architecture for swift and scalable development, laying down a robust digital infrastructure that empowers teams to innovate seamlessly and deliver transformative solutions.
• Enhance your customer experience with data and AI: Transform data into stories and AI insights into personalized experiences. Anticipate customer needs to create intuitive products and services, ensuring every interaction reflects your commitment to customer value and fosters loyalty.
• Foster a collaborative cross-functional culture: Break down silos and foster collaboration across departments. Model after successful examples like Capital One's cross-functional teams to spark innovation and align technology with business objectives. By cultivating a culture of collaboration, you can ensure transformative projects that prioritize customer-centric outcomes.

Top Quote

“The strong belief we have and what I've seen, cloud today is in fact way more secure than any on-prem infrastructure we might have. You have cloud services such as AWS and Azure and Google now powering many of the military and intelligence operations of many countries, including the US. So you can't have more security than those, many of those highly sensitive workloads. And, I know for a fact, AWS, it is applying that same way they build regional data centers for the military, the same way they build it for the intelligence services. That's the same way they're building any of the data centers.” – Kamlesh Talreja

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Timestamps

*(00:00) Episode Start
*(03:15) Judith's career at Amtrak
*(10:15) Judith's process innovation at U.S. Silica
*(17:10) Advice on business process redesign (BPR)
*(21:10) Role of IT in solution design and business partnership
*(26:55) Identifying cross-industry experience for process improvement
*(32:22) Challenges and opportunities in AI-driven process improvements
*(36:06) How to lead organizational transformation
*(39:45) Judith's advice for IT professionals

Episode Key Takeaways

• Start Small and Iterate: When implementing new technologies or processes, begin with a manageable scope. Test the waters, gather feedback, and refine your strategies accordingly to ensure they address pertinent business challenges effectively.
• Leverage Data and AI: AI can help you extract valuable insights from your data, enhancing decision-making and operational effectiveness. Reimagine processes with innovative, data-driven approaches to drive fundamentally better solutions.
• Align IT with business goals: Ensure seamless alignment between tech initiatives and overarching business goals. Get IT and business teams in sync, collaborating closely to make sure every tech move delivers real business value.
• Foster curiosity and innovation: Cultivate a workplace culture that champions continuous learning and inventive problem-solving. Empower your team to explore emerging technologies and brainstorm solutions to address business challenges effectively, fostering a culture of continuous improvement.

Top Quote

“The people who are most valuable to me in the organization are the dot connectors who can see things in different places and say, ‘if that works over here, maybe we can leverage it over there.’ Back to that example I gave about the data that we're collecting from the trains and the tracks – we're doing that for a specific purpose to improve our maintenance processes, but that data is also valuable in other places in the business. So how can I connect dots and see where else might this information be valuable and what other information might be valuable to this process? So again, dot-connecting is a kind of key skill in this area.

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Timestamps

*(00:00) Episode Start
*(03:52) Michael's thoughts on AI and automation
*(08:11) Media.Monks' Monks.Flow software
*(11:37) Michael's journey at Media.Monks
*(22:00) Automation culture at Media.Monks
*(29:16) Empowering people in automation
*(34:59) Experiences with AI integration in automation
*(39:59) AI as a tool for inspiration
*(45:12) Michael's advice on automation and AI

Episode Key Takeaways

• Maximize the power of automation with AI: Look for ways to bring AI into your automation projects. AI can help make smarter decisions and supercharge your automation processes to work even better alongside humans.
• Foster an automation-first culture: Make automation a part of your organization's DNA. Encourage everyone to get on board with automation, ensuring that its benefits and know-how are available to all.
• Democratize access to technology: Ensure that everyone in your team has access to AI and automation tools and training. By giving everyone a chance to engage with these technologies, you're opening the door to new ideas and innovations.
• Prioritize your budget for automation and AI: Get the money conversation going early. Make sure there's a dedicated budget for automation and AI projects by working closely with your financial decision-makers. With clear financial planning, you can speed up the adoption and growth of automation and AI in your organization.

Top Quote

"I've always said automation is change management. And there's this push and this pull in the automation journey. As you continue to scale out automation in your practice, you have to really identify what works and what doesn't work, for your business. But it's a team effort. If you don't have other folks around you supporting that and also beating the same drum, it makes it very difficult to kind of adopt that sort of mentality, that mindset, that culture." – Michael Balarezo

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Timestamps

*(03:13) Episode Start
*(05:38) Exploring Account-Based Marketing (ABM) and Hillary's book “Busting Silos”
*(09:37) Crafting a custom ABM tech stack
*(17:05) Snowflake's approach to ABM
*(20:37) Composable enterprise and data-driven orchestration solutions
*(24:10) Approach to activation flows and cross-departmental collaboration
*(26:33) Future of ABM with AI
*(26:26) Hillary's journey at Snowflake
*(30:22) Advice on building your own ABM tech stack
*(30:26) Evolution of scoring models and Snowflake's approach
*(33:50) Hillary's wishlist for future tech advancements

Episode Key Takeaways

• Solve genuine problems: Transform existing processes by identifying authentic pain points. Dive deep to understand the intricacies, ensuring your solutions yield impactful outcomes.
• Always put your customer first: Keep your customers front and center. Navigate through complexities while ensuring your solutions meet their practical needs, not just technical requirements.
• The future of marketing lies in technology: Embrace the technological revolution in marketing. Explore the power of generative AI and other emerging technologies to streamline processes and personalize interactions, propelling your strategies into the future of innovation.
• Flexibility is Key: Adapt and thrive in the ever-changing digital realm. Stay agile, iterate on your strategies, and embrace new data inputs to continuously improve and scale your efforts for success.

Top Quote

“You can create a great orchestrated product. But if sales isn't on board, if SDRs aren't on board, if the creative team isn't on board… Everybody has to be on board to believe in this vision that you're executing, you can't just execute against something that nobody wants to be a part of. So at the end of the day, it has to be business-focused. It has to be outcome-focused. And the tool or the platform just becomes a mechanism to help you get to that goal faster.” – Hillary Carpio

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Timestamps

*(00:00) Episode Start
*(03:46) Introduction to order to cash
*(11:29) Exploring end processes from opportunity to renewal
*(15:05) Automating RMA processes for faster customer solutions
*(16:29) Advice for automating order to cash processes
*(24:18) Understanding maturity levels in order to cash
*(30:24) Strategies for exception handling
*(35:13) Role of Generative AI in exception handling
*(37:32) Optimizing data architecture in order to cash process
*(42:33) Agility through automated order generation
*(47:47) Jason and Stephen's advice

Episode Key Takeaways

• Document and map your order to cash processes: Begin by thoroughly documenting your current O2C workflows and creating clear process maps. This proactive step helps identify inefficiencies and areas suitable for automation, laying the groundwork for effective implementation.
• Design your order to cash process backward: Craft your process by starting with the end goal and working backward to ensure vital data capture and smooth information flow.
• Implement automation incrementally: Start automation projects with small, achievable tasks to demonstrate immediate benefits and build momentum. Incremental automation allows for quick wins and enables adaptation to changing business needs and evolving processes.

Top Quotes

“You really want to crawl before you walk, and then you run. And that really is critically important. Starting with the basics, building a strong foundation for which you can further build upon. You can't get to the more bespoke and complex process automations and integrations until you really have that strong basis to build from. Not just from a technical perspective, but also from an organization perspective. You need to show the value first in integrations and automations. You need to show what you can do.” - Stephen Attanasio

“Order to cash is going to evolve. So don't bother trying to guess every possible outcome and automate every possible outcome that may or may not exist. Oftentimes the best thing to do is create some degree of flexibility, so don't hard code everything into the system. But also make sure you have technology that is flexible and easy to adapt. It's a reason why we've always enjoyed Workato, because it is a very easy product to evolve.” - Jason Pikoos

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Timestamps

*(00:00) Episode Start
*(03:20) Bill's insights on financial services
*(09:30) Process thinking in financial services
*(13:29) Role of open APIs in customer experience
*(17:15) Navigating friction between legacy technology and open APIs
*(21:54) Optimizing open APIs through integration
*(25:16) Most beneficial process enhancements with digital technology
*(31:39) Early tech adopters and trends in finance
*(36:19) Simplifying technology for organizational growth

Episode Key Takeaways

• Culture trumps strategy: Foster a corporate culture that prioritizes adaptability and innovation over sticking strictly to traditional strategies. This shift enables companies to effectively navigate industry disruptions and swiftly respond to evolving challenges.

• Adopt API monetization strategies: Align your API strategy with business objectives. Assess whether opening APIs enhances user base or generates revenue. Ensure regulatory compliance and adoption potential align with market expectations.

• The need for a mobile-first strategy: Prioritizing mobile and internet-first service development will help you stay relevant. This meets the rising demand for mobile access and seamless user experiences in a competitive market.

• Navigate legacy system challenges with partnerships: To overcome the friction between legacy systems and the need for open APIs, collaborate with technology partners. Look for solutions like code refactoring or API runbook conversions to bridge the gap between outdated mainframes and modern API requirements, facilitating smoother integration.

Top Quote

“There's a famous quote by Peter Drucker centered around culture. That quote is ‘Culture eats strategy for breakfast.’ So I've kind of spun that on its heels a bit in the sense that if your industry strategy does not address culture, then all you're eating is breakfast. You're leaving out lunch and dinner as well. So that's very important in terms of mindset, automation, integration, and digital transformation. Especially in a heavily regulated industry such as financial services.”

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Timestamps

*(00:00) Episode Start
*(03:22) What is ICEYE?
*(05:18) People and culture at ICEYE
*(11:47) Exploring the dynamics of fusion teams at ICEYE and its impact on growth
*(19:45) Comparing IT environments and the magic at ICEYE
*(21:25) How to implement a long-term vision using enterprise systems
*(23:49) Balancing democratization and governance for security and inclusivity
*(26:03) Uniting fusion teams, collaboration, and governance to drive innovation
*(28:53) Navigating innovation and agility in agile vs. static environments
*(32:11) Importance of end-to-end processes and ICEYE's strategic approach
*(38:47) Advice for emerging and established organizations

Episode Key Takeaways

• Prioritize collaboration and fusion teams: Foster a culture of collaboration by uniting diverse talents and harnessing their curiosity. Establish clear objectives to channel contributions effectively. Embrace fusion teams to promote cross-functional collaboration, bolstering synergy and driving transformative outcomes.
• Embrace end-to-end eusiness processes: Emphasize a comprehensive understanding and management of business processes, from inception to completion, to optimize efficiency and deliver value to stakeholders. Shift focus from isolated tasks to a holistic view, ensuring seamless operation throughout.
• Implement loosely coupled architecture: Andrew advocates that this strategy helps pivot and provide a consistent method of transferring data and integrating systems without disrupting core architectures. Embrace this approach for enhanced agility, facilitating rapid adjustments and scalability within complex systems.
• Cultivate innovation and agility by embracing change: Be open to new ideas and encourage your team to trial and error for continuous improvement. Be able to adapt to learnings quickly. Manage tooling demands proactively, aligning with the pace of business evolution for sustained growth and competitiveness.

Top Quotes

"Sari and I's approach here is to transform how the business operates. It's not just implementing a system, it's not just providing IT tools. It is fundamentally changing business processes, changing the way that we work with our partners and our customers. And that really is a differentiator for me to have the opportunity to influence the core workings of a reasonably mature and sizable business is probably the unique thing.” - Andrew Newson

“It's all about people and collaboration. And that's why I like the diversity in practice being also that we can, through collaboration, bring very different people around the table. And curious people are committed to making the change. If you just are clear with the aspiration, the direction, the vision, you then enable people to do their best, so miracles happen.” - Sari Vuola-Vuorinen

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Timestamps

*(00:00) Episode Start
*(02:12) Business processes and technology integration at Cummins
*(07:27) Evolution of the CIO role
*(12:22) Importance of a growth mindset in IT leaders
*(15:32) Earl's insights on AI
*(26:57) Composability as an IT tool
*(33:07) Significance of diversity in tech
*(39:22) Simplifying technology adoption and streamlining user experience

Episode Key Takeaways

• Just ‘Add One’: Earl promotes the practice of adding one action to your normal routine that can make a difference. Whether it be reading a new book, engaging with people outside your usual network, or exploring different vendors - this 'Add One' strategy could have a multiplier effect if adopted widely.
• Embrace the theory of the business: Mastering the core principle behind your business's revenue generation is indispensable. A profound understanding of your business theory enables you to align your technological endeavors to enhance performance, quality, and operational continuity.
• Move from installation to realization: It's time to transcend mere technology installation and start realizing its full potential. The true value of technology emerges through widespread adoption and utilization. Embracing this shift toward realization can propel your business towards unparalleled levels of productivity and success.
• Create technology anthropologists: Earl proposes the creation of a groundbreaking role - the "Technology Anthropologist." Individuals in this role would delve into how technology is used in the real world, paving the way for more user-friendly and accessible technology solutions. This innovative approach has the potential to accelerate technology adoption rates and optimize utilization efficiency.

Top Quote

“Software is eating the world today. And so you have to move from being a caretaker to actually being a harvester. You have to plant those seeds, and you've got to water those seeds, and then you've got to grow those seeds, and not only grow, right? You have to harvest [them] in order to get the full value of technology in your business. So how is software going to eat your industry? If you understand that, then you can understand what seeds you plant, where you need to plant those seeds, how you get those seeds to grow, and then how you harvest the benefit of that technology embedded in your in your business.”

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We learned from leaders at Nvidia, Nasdaq, Vodafone, Amazon Web Services, Bain, Ernst and Young, Kyndryl, and many more. Now, we are excited to announce Season Two. Over the next 13 episodes, we'll hear from another incredible roster of business leaders. Join Markus Zirn, Chief Strategy Officer at Workato, as we continue the journey to learn more about this new era of AI, Automation, and Integration.

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In this episode, Markus Zirn and Rama Theekshidar dive deep into what’s driving digital transformation in the distribution industry. Rama delves into the transformative potential of AI, the benefits of adopting composable architecture, and the significance of cultivating a growth mindset. From discussing the vast scale of the distribution industry to the evolutionary impact of new technologies and AI, Rama offers visionary insights and practical advice for leaders embracing change and innovation. These compelling insights extend beyond distribution to anyone navigating the digital transformation journey in their industry.

Timestamps

*(00:00) Episode Start

*(02:47) Understanding the distribution industry and Rama's background

*(08:56) Evolution in the distribution industry

*(15:00) Enabling digital transformation through composable architecture

*(22:50) Choosing the right technology partner - What to look for and what to avoid

*(28:52) AI's impact on the distribution industry

*(37:42) Rama's thoughts on the future of AI in business

*(46:01) How to be a rebel entrepreneur and Rama's advice for Technology leaders

Episode Key Takeaways

• Embrace composable architecture: Integrate flexible and interchangeable services to enhance scalability and efficiency within your operations. By adopting this approach, you empower your organization to adapt swiftly to evolving needs.

• Revolutionize your business with AI: Explore innovative applications of AI beyond task automation. Identify opportunities to leverage AI for creating new business models and enhancing existing ones, driving transformative change and competitive advantage.

• Harness existing experience and knowledge: While AI and automation are reshaping industries, Rama talks about the importance of retaining and re-purposing experienced staff. By blending traditional wisdom with cutting-edge technologies, you can achieve more sophisticated outcomes and sustainable growth.

• Commit to lifelong learning: As Rama quotes, "You only get smarter by playing a smarter opponent." Continuously seek knowledge from diverse sources to innovate and overcome challenges. Prioritize understanding human behaviors, business trends, and industry shifts alongside learning new technologies.

Top Quote

“Coming from an electrical industry, it's almost like we have to be like a transformer. A transformer's operating principle is mutual induction. And mutual induction is the power of a transformer to transfer power between a primary coil and a secondary coil and then magic happens, correct? That's mutual induction. What I mean by that in our world is how do we have business teams and technology teams acting as the primary and the secondary coil, and you create a mutual induction using a composable architecture where, we have made technology using composable architecture and large language models and AI where the business and tech teams are in it together, solving four problems together, not creating different solutions in silos. When we do that like a transformer, it is quite powerful, and then we will all win.”

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In this episode, Markus Zirn and Luis Enriquez navigate the intricate world of technology leadership and business process optimization. Luis brings a wealth of experience in transforming IT and shares his insights from his roles at Grab and Zuellig Pharma. They dive into the benefits of focusing on process optimization and the importance of embracing discomfort as a significant catalyst for evolution. By scrutinizing buzzwords like AI and data, Luis stresses the importance of accessing their full potential beyond mere trends.

Timestamps

*(00:00) Episode Start

*(03:45) Luis' career journey at Grab

*(16:35) Challenges of app overload and the importance of end-to-end process

*(25:35) Luis' experiences at Zuellig Pharma and the Impact of process design

*(36:30) Evolving role of technology in pharma distribution

*(42:12) Advice for aspiring and experienced CIOs

Episode Key Takeaways

• Prioritize effective process design: Focus on essential tasks, remove unnecessary steps, and automate wherever possible to enhance productivity in large-scale operations. This was exemplified by Luis’ experience at Grab, where he streamlined process models to drive efficiency.

• Don’t overlook the importance of data: All cutting-edge concepts such as AI substantially depend on data. Ensuring data is clean, ready, and in an environment conducive to AI applications is necessary for successful implementation.

• Learn and educate yourself continuously: It's crucial to understand different disciplines, geopolitical situations, and historical contexts, as they impact technology landscapes. Effective leaders continuously expand their knowledge base through reading, and learning about society, history, and other areas that shape technology.

• Embrace discomfort for innovation: It's through discomfort and challenging situations that new insights and improvements emerge. Consistently pushing oneself to new limits and stepping outside of your comfort zone is an excellent approach to becoming innovative and adaptable.

Top Quote

“To anybody starting on this journey - get into the details. Don't get caught in the buzzwords. AI is about data, it's as simple as that. Don't get caught in the sense of all these different companies coming: 'I will give you the X, the Y, the Z, and it will be implemented in no time, and tomorrow you will be a hundred points higher in your revenue.' No, it takes time to evolve. So get into the details, take the buzzwords out."

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In this special episode, Markus Zirn is joined by a distinguished panel of AI and automation leaders: Harish Surendranath from Amazon Web Services, Jia Li from LiveX AI, and Jeff Thomas from NASDAQ. They delve deep into the transformational power of advanced AI technologies, exploring how generative AI is altering the landscape of business processes and workforce dynamics. From enhancing customer experiences to supercharging back-office operations, they shine a light on the myriad ways AI is redefining the enterprise world. Tune in to gain top insights into the AI revolution, the rise of generative AI, and how adopting an 'automation mindset' plays a crucial role in staying ahead of the curve.

Timestamps

*(00:00) Episode Start

*(04:35) Diving into the growth mindset and the CES Convention

*(08:56) LiveX AI’s approach to GenAI

*(13:05) GenAI use cases at AWS

*(15:05) Future of Generative AI

*(15:43) GenAI at NASDAQ

*(20:29) Impact of the new AI transformation wave

*(26:56) Democratization of AI

*(30:42) AWS’s Approach to AI and its impact on customers

*(36:05) Importance of responsible AI and governance

*(38:41) Role of AI at NASDAQ

*(42:02) Workato's approach to GenAI and the growth mindset

*(48:50) Advice on GenAI governance across industries

*(56:10) Disruptiveness of AI and its impact on the workforce

Episode Key Takeaways

• Generative AI’s potential to revolutionize multiple sectors: Harish hammers home the breadth of generative AI's influence. Reinventing customer experiences and enhancing employee productivity, AI's scope of application is radically diverse and impactful. He offers a glimpse into Amazon's responsible AI strategy and how the tech giant is using custom silicon to enhance the price-performance ratio for AI applications.

• Generative AI democratizes innovation: Jia highlights the power of generative AI in lowering barriers to entry, and 'augmenting' human capabilities. She shares insights from her work in Google Cloud AI and her current endeavors at LiveX AI, particularly how AI is set to impact the myriad aspects of everyday life.

• The power of AI in streamlining operations: Jeff underscores NASDAQ's strategic use of AI to augment productivity, foster product innovation, and streamline processes. Emphasizing the importance of staff training and robust governance mechanisms, he points out the key role these factors play in safeguarding trust and ensuring responsible implementation of AI.

Top Quotes

“We think about generative AI in two ways at Nasdaq. One, we think about how we can integrate it in our products. And then the second area is how we can use it on our business. And so, when we think about generative AI in the products, it's how can we change the user experience? How can we change the productivity gains that our customers get out of our products and solutions?” - Jeff Thomas

“Right now, given the low barrier to entry for generative AI products. Think of, there is a mom-and-pop shop who are serving their customers and they really want to focus on their business. And in the past, they probably need to spend a lot of time on customer support and sales efforts, et cetera, et cetera. But now, generative AI can actually automate much of this experience so that the repetitive aspects can be reduced and the business owners, or the small team, can serve their customers much better. And it's essentially AI for everyone.” - Jia Li

“We are going to see augmentation of productivity and the workforce being more productive thanks to AI. There will be higher value tasks and even higher value than what we are doing today for humans to do and for our AI sort of assistants or co-pilots to kind of help us along the way. So I'm an optimist.” - Harish Surendranath

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In this episode, Markus Zirn sits down with Carter Busse to discuss the transformative power of automation, AI, and integration in the business landscape. They explore the shift from a traditional mindset to a forward-thinking, growth mindset, essential for harnessing the full potential of automation and AI. Carter underscores the significance of employee happiness and efficient business processes, backed by compelling examples illustrating automation's profound impact on business processes. He also shares insight into the role of AI in automation, and his optimistic vision for the future.

Timestamps

*(00:00) Episode Start

*(02:16) Carter's thoughts on The New Automation Mindset

*(05:00) Carter's automation strategy

*(07:39) The evolving CIO’s perspective on automation

*(10:05) AI’s influence on business processes

*(11:59) Real-world automation use cases

*(20:00) Challenges with Integration

*(21:45) AI's impact on automation at Workato

*(26:05) Balancing the human element in tech

*(28:42) Solutions for future-proof strategies

*(30:22) Carter's insights for the future

*(33:10) Today’s Takeaway

Episode Key Takeaways

• Importance of a growth mindset: Executives need to break free from limitations imposed by a fixed mindset. In this rapidly evolving environment, it’s critical to pivot and change your thinking from task-based to growth and process-based.

• Adopt an incremental approach to automation: When you begin adopting automation, start small and control what you can. But embrace a fast-paced, fail-fast approach to show possibilities to other business users.

• Automation empowers people: Automation is key to helping people do great things. Empowering users with technology tools fosters innovation and enhances overall employee happiness.

• The value of the people, process, technology framework (PPT): PPT emphasizes prioritizing people and processes over technology when making decisions. Use this framework to navigate your business journey, ensuring a holistic and user-centric approach to technology implementation.

Top Quote

“People, process, technology is what every CIO thinks about. And it's actually run my team meetings. People, process, technology. We talked about technology last. We talk about the people first, talk about process, and we talk about technology last. That's the way we're always thinking about it here.”

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In today’s episode, Markus sits down with Mikael Yayon, partner at Ernst & Young, to discuss Mikael's transformative journey of revolutionizing traditional audit processes through cutting-edge automation tools. They explore how Mikael's team leveraged Workato to amplify process efficiency, eliminating manual data collection and promoting direct client interactions. Mikael advocates for team-wide adoption of technology tools like Workato, recognizing the synergy between his team's professional expertise and the tool's functionality. In his final advice, Mikael shares insights on future-proofing processes by embracing new tech advancements, such as generative AI.

Timestamps

*(00:00) Intro

*(01:56) Inside Mikael's day-to-day at EY

*(05:31) EY's automation Journey pre-Workato

*(10:29) Workato use case at EY

*(14:30) How Workato revolutionized client interactions at EY

*(20:30) Automation as a market differentiator

*(25:20) EY's approach to scaling automation and efficiency with Workato

*(30:56) EY's evaluation process for Workato

*(35:34) Future of auditing and Audit 3.0

Episode Key Takeaways

• Revolutionize your business with automation: Elevate your operational efficiency and accuracy by leveraging automation tools like Workato to automate manual tasks seamlessly. This translates into a tangible reduction in labor and time spent on manual data collection.

• Foster direct client interactions with automation: Opt for technological solutions that facilitate direct client interactions, eliminating the ‘middleman’. You will streamline communication, simplify procedures, and create a more client-friendly process by embracing automation tools.

• Empower your team with widespread tech adoption: Ensure that your entire team is proficient in the technology tools you employ. Maximize usage, boost efficiency, and empower your team to synergize their expertise with the functionalities of the tools you've integrated.

• Embrace the tech evolution: Strategically incorporate innovative technologies into your processes for future-proofing. In the age of AI, explore the possibilities of integrating a generative AI layer to amplify your business processes. Lay the groundwork now for the future transformation of your industry or processes.

Top Quote

“Every company, everyone, needs to transform. We need to make that transformation, to evolve, and to integrate all of the new processes and all of those new technologies that are part of the transformation process. I think also it means trusting your employees. You need to trust them. You need to trust the person you're working with. Sometimes it can be challenging. Changes are always challenging for people, but you need to do that in a way where they feel comfortable. Where they have the appropriate support internally, and they feel comfortable using a tool that they're familiar with. We're all together and the clients definitely see the added value on that."

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In this episode, Markus Zirn and Pietro Casella, Managing Director and Chief Architect at EQT, emphasize the pivotal role of meticulous data management as the cornerstone for successful automation. Pietro stresses the necessity of treating data as a vital trigger for automation, establishing it as non-negotiable on the journey to success. He advises on the democratization of automation, as a way to break down silos and empower team members for innovation and efficiency. Finally, Pietro shares the importance of challenging traditional practices, urging a reconsideration of these methods in the face of AI's transformative impact.

Timestamps

*(00:00) Episode Start

*(01:42) Pietro's background

*(02:50) EQT's digital transformation journey

*(05:06) Impact of automation on EQT

*(07:25) Alignment EQT's digital leadership and The New Automation Mindset concepts

*(15:20) Power of AI as a catalyst for democratization

*(18:00) EQT's data-centric approach, Motherbrain and Pietro's thoughts on the future data

*(26:15) Killer apps of Generative AI and exploring AI's impact

*(35:56) The role of AI in transforming business rules engines

Episode Key Takeaways

• Data as an enabler of automation: The foundation of successful automation lies in meticulous data management. Treating data as a crucial trigger for automation is not just a choice—it's an essential element for a successful automation journey.

• Start every project with a question: Initiate projects with a focused question, aligning efforts to gather essential data. This targeted approach cultivates purposeful action, leading to more streamlined and valuable outcomes.

• Democratize automation within your IT department: Break down IT silos and empower every team member with a holistic view of systems. Providing the right tools and authority encourages innovation and efficiency, uncovering simpler solutions to the same problems.

• Reconsider traditional practices with AI: Challenge traditional methods, such as relying on business rules engines, by embracing the transformative power of AI. Reflect on established practices and explore more efficient alternatives to stay ahead in the evolving landscape.

Top Quote

“There's this other dimension of democratization. I think usually this word is used to describe the process of empowering your employees, the functional people. And I think that's kind of the goal. But, very few people speak about the democratization inside your technology department. And so if you have, let's say the CRM team, and you only allow them to work in the CRM, and they don't know that it's possible to do a lot of magic tricks outside of the CRM, right? They don't know they have permission to touch the database, right? Or to do automation. So they tend to build this spaghetti ball inside your CRM without realizing that if they step outside, it's quite remote controllable. So if you think about Salesforce, when we rolled out to the automation platform and the data platform, we left, we said, 'everybody has the keys to it, everybody can use it inside the technology department.' And that led to people finding much simpler ways from an architecture perspective to solve the same problem.”

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In this episode, Markus Zirn and Kim Huffman dive into invigorating topics of the power of automation, the transformative potential of AI, and the most effective strategies for enterprise transformation. Drawing from her diverse background at companies like Elastic, Navan, and Workiva, Kim shares valuable insights, emphasizing the evolving role of the CIO as a 'business technology leader.' The discussion delves into the shift towards understanding business processes, moving away from traditional tech-centric approaches. They also explore the relevance of business architecture, with Kim recommending a gradual, progressive implementation approach.

Timestamps

*(00:00) Episode Start

*(02:46) Automation and integration throughout Kim's career

*(08:22) Transformation of the traditional CIO

*(13:20) Successes and challenges for the new-age CIO

*(19:53) Navigating the paradox of increased business systems yet more organizational disconnection

*(24:26) Significance of understanding end-to-end business processes

*(28:07) Importance of agility in scaling and streamlining processes

*(31:07) Business architecture's impact on organizational transformation

*(35:33) Generative AI's effect on the role of the CIO

*(39:10) Today's Takeaway

Episode Key Takeaways

• CIO as a business technology leader: The role of technology leaders is evolving. Whether it's the CIO, Chief Digital Officer, or Chief Transformation Officer, they are now orchestrators within an organization. Beyond tech solutions, they delve into understanding business processes to drive transformation. This shift signifies a move from traditional IT roles to becoming pivotal business enablers.

• Business architecture as a strategic tool: The development of business architecture is key, focusing on core business processes unique to your company. It serves as the roadmap for identifying process gaps, enhancing efficiency, and recognizing untapped opportunities for business value and growth.

• Revolutionizing automation with AI: Leveraging AI in automation revolutionizes business processes. Beyond task automation, AI provides supportive assistance in decision-making, augmenting human roles for overall efficiency. Leaders should actively seek ways to integrate these technologies for optimal business performance.

• Necessity in understanding of end-to-end processes: Understanding end-to-end business processes is crucial for tech professionals. It empowers them to identify efficiency improvements, contribute strategically, and drive innovation. This, coupled with the right technology tools, enables organizations to enhance value, customer experiences, and foster a culture of continuous improvement.

Top Quote

“At the end of the day, if we all step back and we think about the way that our roles have changed as a result of technology. The concept of a technology organization focused only on technology and a business organization focused only on business is a limiting view. And I think because the technology has come to a point is that the CIO of today or the Chief Digital Officer is uniquely positioned to understand enough about technology, that if they have a real passion for the business change and the business process, it actually isn't an IT function, it's a business function. And it's a business function that is enabled and transforming that business through technology.”

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In this episode, Markus Zirn and Kerrie Jordan expertly navigate the latest breakthroughs in business automation and AI. Kerrie shares invaluable insights into innovative business solutions, the role of user-friendly tools like Epicor's Automation Studio, and the potential impact of generative AI. Emphasizing the importance of industry-specific solutions, Kerrie reveals the benefits of democratizing access to automation across organizations. Kerrie advises on developing industry-specific AI applications that go beyond generic automation, focusing on delivering tailored solutions that add significant value to each unique industry.

Timestamps

*(00:00) Episode Start

*(02:04) What is Epicor?

*(06:13) Automation's impact on manufacturing and common challenges

*(09:51) Workato's impact and alternatives in Epicor's Automation Studio

*(13:48) Balancing customization and user-friendly integration

*(17:01) Evolution of inclusive integration and democratization of automation

*(21:08) Importance of automation in the manufacturing

*(24:47) Seamless integration and orchestration of end-to-end data processes

*(26:31) Consultants' perspectives on new automation possibilities in the Epicor world

*(31:06) Generative AI and its impact at Epicor

*(40:26) Untapped potential of Generative AI

*(44:18) Today's Takeaway

Episode Key Takeaways

• The importance of user-friendly automation tools: In the hustle of today’s business world, having user-friendly automation tools is a game-changer as a company undergoes digital transformation. They simplify tasks, keep operations running smoothly, and supercharge efficiency.

• The disruptive potential of Generative AI: Generative AI can completely revolutionize the way we work. With endless possibilities, it could lead to substantial increases in productivity across organizations.

• Tailored automation for your industry: Forget one-size-fits-all automation. It should be about crafting solutions that fit your industry like a glove. We're talking about value-driven solutions created through collaboration with customers—because who knows your industry better than you?

• Fostering 'citizen integrators' for agile operations: Meet the 'citizen integrator'— Kerrie defines them as anyone in the office, regardless of their role, who can step up and build integrations. It's all about letting everyone pitch in to create automated workflows, making the whole business run smoother and faster.

Guest Quote

“We've come to call our users citizen integrators. And that's because it's really open to anybody…So, by enabling our citizen integrators, we're enabling the entire organization, the business leaders, not just IT, to be able to build those integrations, to manage the flow of data, to create really strong and compelling competitive advantages that they might not otherwise have had the opportunity to do so. So, when we enable those citizen integrators, those that really have a keen understanding for how data is leveraged across the organization and how, better yet, it could be leveraged. Then, we're really taking our solutions to the next level for these industries.”

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In today’s episode, Markus sits down with Vishwas Chouhan, Enterprise Architect at Kyndryl, the world’s largest provider of IT infrastructure services. Vishwas unravels key insights for businesses undertaking digital transformations, emphasizing the necessity of a 'growth mindset', encouraging out-of-the-box thinking and a proactive attitude towards change. A critical part of this change, he advises, involves simplifying technology footprints and streamlining processes. You’ll hear as he underscores the power of utilizing low-code platforms such as Workato to create more value and agility while closing the gap between technology and business. Lastly, he emphasizes clear governance to maintain balance, especially when scaling digital transformations.

Timestamps

*(00:00) Intro

*(02:34) Background on Vishwas and Kyndryl

*(08:11) What to look for when rebuilding legacy architecture from scratch

*(10:54) Leveraging automation to enable your teams to focus on what matters

*(14:20) Flipping the tech pyramid to bring more value to your business

*(18:26) How to get buy-in from your entire team

*(22:10) Why siloes need to be broken down between departments

*(24:46) Delivering marketing at the speed of business

*(31:07) Changing the mindsets of developers

*(37:45) The future combination of business and engineering

*(41:07) Democratizing access to automation while still maintaining governance

*(42:50) Today's Takeaway

Episode Key Takeaways

• Invert the Technological Pyramid: By flipping the traditional pyramid of infrastructure and reducing your tech footprint, Vishwas explains how you can catalyze business transformation and increase the value output.

• Bring down the walls that silo your teams: Fostering a collaborative mindset focusing on end-to-end processes facilitates better alignment across departments, technology, and business.

• Low code is a shared language across teams regardless of skill: No-code / low-code platforms enable more stakeholders to work together and democratize development. They foster better communication, and make non-technical folks into engineers, and engineers into business people.

• Evolve governance as you evolve technology: A proper governance framework is critical in scaling operations while maintaining stability and preventing chaos. Vishwas highlights that your governance does not need to be set in stone and should change alongside your business and technology needs.

Top quotes

“When I came across Workato, it straight away out of the box fit the bill for me. When I saw that the platform was ready when it came to compliance, security, and was able to provide us observability end to end…that was what I was looking for.”

“Technology does not drive by itself. We're not there yet. We can talk about how AI is enabling that for us in the future. But for now, we still have technology and people together as partners. And when you're trying to drive that, you need to look at what the teams are trying to do and does it really help marketeers? As mentioned in the book, you need to always reimagine how can this be done better? So the low code, no code platform becomes a common language for both business and technology to speak because there used to be this constant shake between business and developers.”

“When I see a platform like low code, no code, it removes that friction, you can speak the same language. So you’re converting your developers to business and you're converting your business to engineers. And when you can get that aligned, there's no stopping it.”

“So my process was evolving and my technology footprint was really broad. And when I started to layer this requirement and start to break this up around people, process and technology…I said that, technology is what needs to give for me, because that will help me reduce the cost. It will also help me simplify. What would it look like if I flip this pyramid where my technology footprint is balanced with proper governance around it? And then you layer all your integrations and automations and you bring value which is right now, at the top, and you're flipping that and you're expanding and you're giving more value to the business.”

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In this episode, Markus Zirn and Sridevi Pasumarthi discuss the transformative power of automation on business challenges and the pivotal role of AI in its enhancement. Drawing insights from her experience at prominent companies like Slack, Arlo, Checkr, and Gusto, she illustrates how automation can be a game-changer when positioned aptly. They talk about the evolution from the traditional CIO role to innovation-driven business technology positions, exploring the shifting expectations for modern technology leaders. Sridevi advises on the importance of developing a ‘10X mindset’, urging companies to always consider scalability and envision solutions that effortlessly handle ten times their current scale.

Timestamps

*(00:00) Episode Start

*(01:13) Sridevi's automation philosophy

*(03:47) Maximizing efficiency through automation and integration platforms

*(07:54) Evolution from traditional IT roles to business technology roles

*(12:25) Impacts of merging AI and automation

*(17:07) Sridevi’s automation journey with Workato and notable use cases

*(24:43) Sridevi's automation advice

*(28:22) Today's Takeaway

Episode Key Takeaways

• AI’s impactful role in automation: The combination of AI and automation is powerful. Sridevi shares how AI serves as a tool for recognizing patterns, offering insights, and facilitating informed decision-making.

• CIO's evolution toward business technology roles: The traditional CIO role is changing. CIOs must shift focus from system maintenance to strategic partnership in steering business technology.

• Embrace a ‘10X mindset’: Always consider scalability—envision your solution handling 10 times its current load. Start big, focusing on future growth. Automation isn't just for now; it's about preparing for the future.

• Automation's wide-reaching impact on business processes: Drawing from experiences from Slack to Gusto, Sridevi illustrates how automation effectively addresses unique business challenges.

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In this episode, Ted Shelton and Markus Zirn discuss insights into how businesses can leverage automation and AI to improve processes. They delve into real-world applications, use cases, and challenges in implementing these technologies. Ted explains the necessity of adopting a growth mindset to fully embrace and make the most of AI and automation tools. Ted shares his top 5 strategies for how businesses can foster the acceptance and appropriate use of these new technologies among employees.

Timestamps:

*(00:00) Episode Start

*(03:26) How AI and Automation are connected

*(08:00) The new era of disruption and AI transformations

*(13:46) Early applications and use cases in operationalizing AI and automation

*(20:02) What Generative AI can impact when it comes to customer experience

*(28:28) Revolutionizing customer interactions with AI's declarative process shift

*(31:28) Challenges in adopting AI and breaking old mindsets

*(36:01) Democratizing AI and low-code philosophy

*(38:10) Ted's 5 pieces of advice for adopting AI

*(41:08) Today's Takeaway

*(42:40) Technological transformations and its impact on the workplace

Episode Key Takeaways

• AI and automation are interconnected: As you begin to adopt AI into your business, understanding the intrinsic link with automation is paramount. Automation organizes data for AI models and applies those insights to your processes.

• The real driver of AI-driven transformation is your competition: the ease of access to AI now means competitors have access to the same technology - which is driving a new type of urgency with executive teams.

• The winners and losers in AI will be decided in three domains. How quickly and successfully companies can harness AI to improve efficiency, experiences, and innovation will decide whether they come out ahead or fall behind in this new era.

• Generative AI will make companies more proactive with their customers: Cost economics of interacting with customers and proactive customer support are changing, which will ultimately create more value for customers.

• The process mindset is key in the AI era: Integrating AI into business processes is key, and keeping a process mindset (systems thinking) is even more important. Although interactions with AI mimic human interactions, there must be a practical approach for effective deployment and utilization, mirroring how we collaborate with human colleagues.

• ‘Dynamic and disposable code’ is the future: Ted highlights the emerging concept of ‘dynamic and disposable code’, which breaks away from traditional coding methods. It relies on machines generating code in real-time based on described outcomes, revolutionizing the way humans and machines work together.

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In this episode, Markus Zirn sits down with Gabriel Enright to explore the dynamic intersection of automation and AI in the telecom industry. Gabriel shares his philosophy and Vodafone’s strategic approaches, delving into the integration of different systems, the goal of streamlining processes, and the evolving role of AI within the business. He discusses how business complexities can be handled through automation and how an early adoption of AI can be a game-changing strategic advantage. Gabriel advises listeners on the 'shift left' approach, highlighting the pivotal move towards decentralizing automation tools to empower non-technical teams and citizen automators, all while maintaining centralized governance.

Timestamps

*(00:00) Episode Start

*(00:46) Gabe's automation strategy

*(02:41) Automation vs. integration

*(04:00) Challenges with automation and integration

*(06:00) Scaling automation and integration globally

*(08:02) Gabe's thoughts on AI

*(14:02) Vodafone's automation use cases

*(16:29) Automation as a solution to complexity

*(18:27) Gabe's automation challenges

*(22:40) Vodafone's automation journey

*(30:57) Gabe's advice on automation and AI

*(35:26) Benefits of decentralizing automation

*(38:59) Today’s Takeaway

Episode Key Takeaways

• Scalability through automation and AI: Embracing automation and AI opens new horizons for business scalability. However, unlocking this potential demands the collective creativity of our employees to redefine how we use automation.

• AI as a collaborator, not just an application: Considering AI another person within the organization can transform our approach to its use. This can lead to a clearer understanding of the outcomes achievable through automation and integration with AI.

• Handling complexity with automation: Automation is a powerful tool for managing inherent complexity in business operations. Leveraging automation allows organizations to effectively navigate intricate business processes, ultimately enhancing both employee and customer experiences.

• The importance of organizations to ‘shift left’: In this rapidly changing landscape, organizations must adapt. This inclusive strategy aims to decentralize automation, allowing individuals beyond the technical team to participate in integration and automation.

Top quotes

“So in abstracting away the complexity from the user, we can put the complexity into the automation, so that can deal with the different permutations based on the scenarios or circumstances of the sale or the operation of the service. So it's a very, very good tool to abstract away the complexity from the customer. But the nature of the business is complex, so at some tier, you need complexity and the automation tier is a great place to handle that.”

“AI is not an application. If you think of it like that, it's going to be very difficult to understand what outcomes you'll get with AI.”

“Decentralize the tool and centralize the governance because governance works across everything. Everyone should be on the same playing field. But what we do need to do is decentralize the effort to produce the services and also decentralize the execution.”

“The goal is to get the business and the citizen automators more involved in the work and doing the work. Put the accountability and the responsibility out to them.”

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In this episode, Darryl Maraj and Markus Zirn discuss the evolution and future of AI and automation. They emphasize the critical role the CIO will play as the world enters the new AI era. Darryl shares his experiences in implementing advanced technologies in GA Telesis, elaborating on their path to operational excellence, customer intimacy, product leadership, and security. They explore how IT can become a crucial part of the business strategy, fostering alignment across organizations.

Timestamps

*(00:00) Episode Start

*(01:37) Darryl’s Background

*(03:36) Darryl’s innovation with AI and business systems

*(09:17) How AI helped with 36,000 emails and enterprise SLAs

*(10:58) Why you need to get on board with AI Transformation

*(14:45) The impact of democratization and AI

*(18:57) How you should be reframing your mindset

*(22:26) The endless use cases for AI & Automation

*(26:33) Ways the CIO role is evolving

*(29:25) Why IT/Business alignment is outdated

*(33:25) The future of "fusion teams"

*(40:37) Why it's sometimes better to map your processes with sticky notes

*(42:32) Today's Takeaway

Episode Key Takeaways

• Technology strategy is business strategy: Technology shouldn't be an afterthought - which is why IT/business alignment is outdated. Technology needs a seat at the strategy table. It should be seen as a partnership. This shift in mindset can lead to better collaboration, innovation, and overall success in achieving goals.

• AI as a watershed moment for business processes: With the democratization of AI, it is no longer in the hands of the gatekeepers. Everyone has access to it and it should be used as an interpreter to accelerate business processes.

• The need to rethink business process innovation: Rethink your approach to business processes–they are more than just operations. Treat your business processes as products to continually iterate and improve.

• The importance of implementing an agile approach to delivery: We all need to adopt an agile mindset, specifically when it comes to delivering advanced technology tools. This can provide significant value to end users, ensuring a sustained competitive edge in an ever-evolving market.

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In this episode, Rama Akkiraju and Markus Zirn discuss how generative AI is changing business processes, and uncover dozens of use cases. They consider its impact on democratization, organizations, and specific roles. Rama explains why unstructured data is the new gold mine, and they discuss why governance and guardrails are key for containing the superpowers granted by AI. Rama advises listeners to re-evaluate their processes in this new world. In her final advice, she suggests that adaptability is key, and flexible architectures are becoming more important than ever.

Timestamps

*(00:00) Intro

*(02:14) Interview Start

*(03:46) The evolution of AI and its impact on Rama's work

*(05:53) Democratization & citizen development with AI

*(09:49) Impact of AI on business processes

*(15:05) Expanding efficiency and accessibility with LLMs

*(18:05) The rise of “BigOps” and maximizing data

*(19:54) How generative AI will deliver better insights from process data

*(25:44) Security and IT operations use cases for generative AI

*(29:54) Knowledge management and enterprise search

*(32:10) The new importance of governance and guardrails

*(36:20) Rama's AI and automation advice

*(42:00) Key Takeaway from Today

Episode Key Takeaways

• Generative AI opens the floodgates for democratization and citizen development: The rapid state of advancement of AI means that citizen development is here to stay, and democratization will move much farther ahead than ever before.
• Endless use cases are emerging with generative AI: Rama and Markus list dozens of use cases, from IT operations to security, knowledge management, change management, and more.
• The need for governance and guardrails is more crucial than ever: With great power comes great responsibility. As generative AI has the potential to expose new data that was previously inaccessible, we need to make sure we are disciplined in how we protect our teams and unstructured data.
• The heightened need for agility and flexibility: In the new rapidly changing environment, the need for flexible systems and organizations is greater than ever. Flexible architectures, nimble teams, and adaptability are paramount.

Top quotes

“Have an open mind. Go with the idea that everything could potentially be transformed. You have to rethink all the business processes, and everything that's been done before.”

“The technology is changing so fast, you have to have flexible architectures that will allow you to adapt and change.”

“When you harness them responsibly and strategically with the proper guardrails, AI and automation technologies can empower organizations to achieve their business goals with high levels of efficiency, productivity, and more.”

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In this new podcast, we'll go on a journey behind the scenes with leaders bringing this new era to life. Together, we'll uncover the secrets behind their success, the strategies that propelled them forward, and the challenges they conquered along the way.

The New Automation Mindset is your leadership blueprint, your guide to success in a world where change is constant and innovation is everything.

The New Automation Mindset, where AI, automation, and integration come together.

Hosted by Markus Zirn and brought to you by Workato.

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