• The intersection of technology & medicine? 
• How  the medical field, and cardiology in particular has adapted to tech & AI advancements 
• Case-studies revealing the effectiveness of AI techniques
• Whether  medical systems need to change in order to optimize processes and provide better experiences & outcomes for their patients
• Hidden opportunities for entrepreneurs & healthcare practitioners 
• The future of medicine in an AI world

Resources: 

• Books:
• Rebooting AI: Building Artificial Intelligence We Can Trust - Gary Marcus
• The Patient Will See You Now: The Future of Medicine Is in Your Hands -  Eric Topol MD

Ways to follow along with Dr. Anuj, 

• Twitter 
• LinkedIn
• Website

• The Rise of Fintech - how/when the word "Fintech" became popularized
• If & how AI & Machine learning capabilities has changed the fintech investment landscape
• How startups are leveraging AI to compete and optimize the finance industry. Companies discussed include, Kasisto, HyperScience, Pymetrics, and Theta Lake.
• What regulators and corporate executives at banks like JP Morgan, City Bank, & Master Card look for when working with early stage startups
• How big tech companies like Apple, Facebook, and Google will affect the future of finance
• The Fintech Innovation Lab advantage. If you are an early stage company interested in the program, learn how to apply here.

Ways to connect with Sunny,

• Twitter
• LinkedIn
• Fintech Innovation Lab Website

• The state of Agriculture Technology (Agtech)
• The birth of EIO Diagnostics
• How EIO is leveraging AI to help farmers in the global dairy industry save $10B
• How to train machine learning models for a unique problem set
• How is the industry evolving and what new technologies are farmers and agriculture stakeholders using to optimize processes.
• How are great food/bev products created? What differentiates brands from one another?
• Whether AI makes startups more or less competitive?
• Benefits of startup programs like Food-X

Follow EIO on

• Twitter
• LinkedIn
• Website

• How AI generated Art is created (it's harder than you think)
• How to train an AI model to produce results you seek
• How does technology affect the future of art, especially if the art can be generated rather easily?
• How startups can compete in an Ai world
• Practical applications of enterprise & consumer data
• How that data is leveraged for the benefits of businesses and consumers.
• Threats that arise due to a data explosion

*Educational References: *

Blogs & Books:

• Distill Pub
• Open Ai’s blog
• Fair Ai blog
• Google’s Ai blog
• Deep Learning book by Ian Goodfellow and Yoshua Bengio and Aaron Courville

Big thank you to Sunny Parikh for making the connection to Paul and making the podcast possible. 

• What type of AI is being applied to Sports Betting?
  What are the consequences of technology in the gaming industry?
• How both customers and business owners benefit from implementing predictive and real-time gaming tech.
• Five applications of machine learning in the gaming industry, including odds making, risk management, responsible gaming, and more.
• The alignment of incentives when building powerful tech
• The role of society, government, and corporations in the creation and regulation of AI and deep technologies like it.

Resources discussed,

• Great machine learning courses - [Khan Academy]or [Coursera]
• Going deep on AI and Mathematics - [3Blue1Brown Youtube Channel]

• A technical breakdown of how data breaches happen
• The concept of threat-hunting and how AI enhances cyber protections
• How companies can stay secure and protect critical entry points
• The most prevalent threats to todays top industries?
• What makes organizations more vulnerable to attacks today, then they've ever been?
• How to leverage AI and protect your company?
• Societal implications of AI technology?
• Ways to get involved in the scientific revolution

• The state of drug discovery in the US
• Eroom's law and the rising cost of drug research & discovery
• How the scite platform combats the research reproducibility crisis
• The growing call for transparency in healthcare
• The impact machine learning & deep learning has on science
• Conviction in your startup - advice on when to go all in
• An Ai future and what to expect
• Building a startup under various circumstances

• Data privacy challenges that high growth data startups face
• Whether it pays to prioritize innovation over compliance
• How both startups and enterprises can stay innovative and compliant at the same time
• Tips to speed up what can be a brutal procurement process
• How tech giants like Google are approaching the controversial issue of ethical AI and Ai bias
• Whose responsible for setting rules for Ai ethics, corporations or the government?
• Ways for companies to properly leverage technology like AI, safely and efficiently?

Caroline's Three Crucial Privacy Tips for Companies,

• Incident response plan
• Business continuity plan
• Information security management program

To learn more visit,
Website: https://www.clearops.io/
Linkedin: https://www.linkedin.com/company/clearops-inc
Twitter: https://twitter.com/mcmccaffery

• Breaking into VC
• How the enterprise investment space has transformed due to the rise of AI
• Best practices for enterprise companies to pilot projects with startup companies leveraging deep technologies
• What makes for a good early pilot partner?
• The viability of horizontal companies as they compete against the likes of Google, Amazon, Nvidia, and Microsoft
• How companies can compete with better tooling. We discuss companies & tools like H2O, Data Robot, Data IQ, which are all helping companies build & support models
• Which opportunity areas & industries are still up for grabs
• What startups in the space are taking advantage of better tech (models, protocols, processes, etc), and are creating differentiation in the market

• The advancements in Digital Health and it's effects on the Healthcare industry
• How hospitals, universities, and Healthcare providers are implementing AI techniques across their practices and organizations
• How researchers are commercializing their research across universities
• Certain types of AI most commonly used in Digital Health (Image Rec, Machine Learning, Natural Language Processing,etc....)
• The biggest barrier to the technology being implemented
• How technical founders go from technical experts to full-fledge entrepreneurs

Learn more:

• Jake's Linkedin: https://www.linkedin.com/in/jakemendel/
• Jake's Twitter: https://twitter.com/ijakemendel
• Sign up for updates: https://nyc.ai/portfolio/podcast/

Recommended Twitter accounts :

• https://twitter.com/ntdillon
• https://twitter.com/SparksZilla

MBA Program Noted on the Show:

• https://fisher.osu.edu/graduate/wpmba

Topics touch on are as follows,

• The evolution of the retail beauty industry
• How AI is changing enterprise product strategy
• How social media has changed retail and the way customers interact with brands across platforms
• The similarities between professional modeling and data modeling
• The future of retail marketing in a social first world
• The biggest reason customers & businesses choose to work with early stage companies
• How to navigate the early stages of the startup life cycle

**Learn more: **
Website: Cherrypick.ai
Justin's Twitter: https://twitter.com/jstnstwrt

Stay updated with the show - https://nyc.ai/portfolio/podcast/ - sign up below and we'll keep you updated.

We discuss,

Technical Talk:

• What the distinctions are between conversational AI (intelligence) and chat bots?
• How NLP technology allows platforms like Bowtie to exist?
• How you leverage technology to solve a real business challenge
• Misconceptions about AI
• How you train your algorithms to handle complicated questions
  Sales Talk:
• When selling, do you highlight the technology or the problem you are solving?
• How businesses ranging from SMBs to Enterprises can benefit from incorporating NLP capabilities
  Movies & Cinema:

• We became movie critics for a bit and discussed Crazy Rich Asians
• What we like to see from Hollywood, next
  Hiring

To learn more about Bowtie and it's co-founders:

• Website: http://bowtie.ai
• Twitter: https://twitter.com/bowtie_ai
  • Mike Wang: @mike_w1z
  • Vivek Sundars: @viveksudars
• Email: support@bowtie.ai