https://simplecast.com Applied AI Pod - This podcast show is currently on a break. - Real AI talks with real people. Startup founders, startup engineers, AI community leaders, research scientists, innovation leaders, product builders, passionate AI practitioners - we talk to everyone! Grab a rounded perspective on how AI is used, tradeoffs for specific AI tools or methods, challenges in the space of AI technologies, and its future. New to AI concepts? Try the ‘Elements of AI’ 6-chapters course for an introduction to AI, and Building AI. It’s world #1 AI MOOC. And join some AI communities or other relevant AI-centered groups. Podcast available on all popular podcasting platforms or via assistants like Google, Alexa, or Siri. ℗ & © 2023 Applied AI Pod en-us Mon, 14 Feb 2022 11:45:00 +0000 Thu, 3 Aug 2023 16:02:29 +0000 https://appliedaipod.simplecast.com Applied AI Pod https://image.simplecastcdn.com/images/3ab975f9-2f0f-4405-9cc9-7c57c3bccd71/5c662b57-1386-4e49-8352-e60b0dade59a/3000x3000/3000x3000-applied-ai-pod-2021-channel-art.jpg?aid=rss_feed https://appliedaipod.simplecast.com episodic - This podcast show is currently on a break. - Real AI talks with real people. Startup founders, startup engineers, AI community leaders, research scientists, innovation leaders, product builders, passionate AI practitioners - we talk to everyone! Grab a rounded perspective on how AI is used, tradeoffs for specific AI tools or methods, challenges in the space of AI technologies, and its future. New to AI concepts? Try the ‘Elements of AI’ 6-chapters course for an introduction to AI, and Building AI. It’s world #1 AI MOOC. And join some AI communities or other relevant AI-centered groups. Podcast available on all popular podcasting platforms or via assistants like Google, Alexa, or Siri. Alexandra Petrus no https://feeds.simplecast.com/mnGMa7Qp nlu, cv, Applied AI, Artificial Intelligence, AI use-cases, AI applications at scale, ML, DL, NLP, Computer vision, AI practitioners Alexandra Petrus alexandra.petrus1@gmail.com d59a8d32-d6c6-4a8e-9ee4-6acbf8137c9d AI for Real Estate Customer Goals, E33 Episode highlights:

  • 01:00 - Conversational AI for the future of marketing and sales, focus on the real estate industry.
  • 04:00 - How Structurely works and what it solves.
  • 06:50 - Benefits to businesses utilizing AI within their companies.
  • 10:55 - The future of real estate by use of machine learning.
  • 16:10 - Creating a more promising future for AI as a tool for positive outcomes. E.g. Zillow.
  • 23:00 - Conversational AI's next big challenges.

References:

]]> Mon, 14 Feb 2022 11:45:00 +0000 alexandra.petrus1@gmail.com (Nate Joens, Alexandra Petrus) https://appliedaipod.simplecast.com/episodes/ai-realestate-customergoals-e33-8W4PBuT8 Episode highlights:

  • 01:00 - Conversational AI for the future of marketing and sales, focus on the real estate industry.
  • 04:00 - How Structurely works and what it solves.
  • 06:50 - Benefits to businesses utilizing AI within their companies.
  • 10:55 - The future of real estate by use of machine learning.
  • 16:10 - Creating a more promising future for AI as a tool for positive outcomes. E.g. Zillow.
  • 23:00 - Conversational AI's next big challenges.

References:

]]> AI for Real Estate Customer Goals, E33 Nate Joens, Alexandra Petrus 00:25:57 It is not just difficult to bring AI to production, it is difficult to keep AI in production. We dive into the real estate space to understand how AI/ML is used by Structurely, and we talk with its Co-founder, Nate Joens. Nate is the Co-Founder, Head of Innovation and past CEO at Structurely. His business processes conversations in the real estate industry, and builds proprietary conversational AI that 99.9% of consumers believe is human. With over 3.5 million conversations with their AI Assistant Structurely’s Real Estate data set is nearing 10MM individually labeled messages. It is not just difficult to bring AI to production, it is difficult to keep AI in production. We dive into the real estate space to understand how AI/ML is used by Structurely, and we talk with its Co-founder, Nate Joens. Nate is the Co-Founder, Head of Innovation and past CEO at Structurely. His business processes conversations in the real estate industry, and builds proprietary conversational AI that 99.9% of consumers believe is human. With over 3.5 million conversations with their AI Assistant Structurely’s Real Estate data set is nearing 10MM individually labeled messages. ai for realtors, real estate, ml, conversational ai, real estate conversations no full 33 a32f83c7-1870-413e-baba-c2733b4f17ab Scalable Reliance on AI for e-Invoicing, and AI Principles, E32
  • 02:00 - Ada's performance, stories and metrics around. Size of the impact AI has in this space, as covered by Tradeshift.
  • 05:35 - Working with AI/ML teams.
  • 14:40 - Assessing how much data is needed for an AI project.
  • 18:45 - Data risks.
  • 24:25 - Is Agile good for AI teams?
  • 27:30 - How much does UX matter in e-Invoicing and ML/Data projects?
  • 36:35 - How can projects get derailed or fail? What should we watch out for.
  • 40:05 - Funny fails.
  • 41:50 - AI principles.

    • References:

     


     

    ]]>     Mon, 27 Dec 2021 01:59:00 +0000 alexandra.petrus1@gmail.com (Alexandra Petrus, Lloyd Humphreys) https://appliedaipod.simplecast.com/episodes/scalable-reliance-on-ai-einvoicing-aiprinciples-bCIZtBYa
  • 02:00 - Ada's performance, stories and metrics around. Size of the impact AI has in this space, as covered by Tradeshift.
  • 05:35 - Working with AI/ML teams.
  • 14:40 - Assessing how much data is needed for an AI project.
  • 18:45 - Data risks.
  • 24:25 - Is Agile good for AI teams?
  • 27:30 - How much does UX matter in e-Invoicing and ML/Data projects?
  • 36:35 - How can projects get derailed or fail? What should we watch out for.
  • 40:05 - Funny fails.
  • 41:50 - AI principles.

    • References:

     


     

    ]]>     Scalable Reliance on AI for e-Invoicing, and AI Principles, E32 Alexandra Petrus, Lloyd Humphreys 00:47:43 Tech unicorn, Tradeshift, recently surpassed $1 trillion transactions processed. Listen to a conversation with their Principal Product Manager for Data and Analytics, Lloyd Humphreys, on how they are using AI at scale. Lloyd gives people the option to dial up or down AI. He believes AI is a tool in a toolbox - not the only tool, but a critical one. Running Tradeshift's data team means he gets close to the source of how it is creating data and how people expect to use it to make decisions. Originally, he was a freelance UX designer. Tradeshift is a leader in e-invoicing and accounts payable automation. Their technology is able to benchmark their models performance against person-led processes and offers predictive modeling showing how the technology can maximize outcomes, like gained efficiency and cost-savings. Tech unicorn, Tradeshift, recently surpassed $1 trillion transactions processed. Listen to a conversation with their Principal Product Manager for Data and Analytics, Lloyd Humphreys, on how they are using AI at scale. Lloyd gives people the option to dial up or down AI. He believes AI is a tool in a toolbox - not the only tool, but a critical one. Running Tradeshift's data team means he gets close to the source of how it is creating data and how people expect to use it to make decisions. Originally, he was a freelance UX designer. Tradeshift is a leader in e-invoicing and accounts payable automation. Their technology is able to benchmark their models performance against person-led processes and offers predictive modeling showing how the technology can maximize outcomes, like gained efficiency and cost-savings. einvoicing, tradeshift, automate payments, ml, ai, unicorn no full 32     e5ce42e1-92be-400c-afdb-0fda99c3d0b2 Voice AI from the space of VoiceSearch and VoiceServices, E31
  • 02:35 - Why hasn’t voice AI taken off already?
  • 22:50 - Can we fulfil an end to end new purchase naturally?
  • 32:20 - How can we resolve the disambiguation problem in NLU?
  • 37:20 - Context and memory perspectives.
  • 43:20 - How do we make conversations natural?

    • References:

    ]]>     Tue, 16 Nov 2021 05:25:58 +0000 alexandra.petrus1@gmail.com (Dustin Coates, Hannes Heikinheimo, Alexandra Petrus) https://appliedaipod.simplecast.com/episodes/voiceai-from-voicesearch-voiceservices-M2mbqacS
  • 02:35 - Why hasn’t voice AI taken off already?
  • 22:50 - Can we fulfil an end to end new purchase naturally?
  • 32:20 - How can we resolve the disambiguation problem in NLU?
  • 37:20 - Context and memory perspectives.
  • 43:20 - How do we make conversations natural?

    • References:

    ]]>     Voice AI from the space of VoiceSearch and VoiceServices, E31 Dustin Coates, Hannes Heikinheimo, Alexandra Petrus 00:49:33 Join a conversation with Dustin Coates - Voice Search Lead at Algolia, author of Voice Applications for Alexa and Google Assistant, co-host of VUX World, the practical voice podcast, and Alexa recognized champion. And Hannes Heikinheimo - Speechly Co-Founder and CTO, ex-Rovio, ex-Reaktor, worked on the 1st version of NLU for Apple’s Siri for Finnish, ML and NLU seasoned specialist. > Algolia is a site search and discovery API company with unique differentiators for all important aspects of search, text and voice, all for dynamic digital experiences. > Speechly is the fast, simple and accurate voice UI API that is optimized for efficient UI task completion. It is designed to work alongside other UI modalities such as touch and visual especially in the context of web, mobile, and e-commerce applications. Join a conversation with Dustin Coates - Voice Search Lead at Algolia, author of Voice Applications for Alexa and Google Assistant, co-host of VUX World, the practical voice podcast, and Alexa recognized champion. And Hannes Heikinheimo - Speechly Co-Founder and CTO, ex-Rovio, ex-Reaktor, worked on the 1st version of NLU for Apple’s Siri for Finnish, ML and NLU seasoned specialist. > Algolia is a site search and discovery API company with unique differentiators for all important aspects of search, text and voice, all for dynamic digital experiences. > Speechly is the fast, simple and accurate voice UI API that is optimized for efficient UI task completion. It is designed to work alongside other UI modalities such as touch and visual especially in the context of web, mobile, and e-commerce applications. voice search, voice services, speechly, voice ai, nlu, algolia yes full 31     38816f5f-4805-401a-b011-5efb345a4ede NLP, Speech Tech, Transformer Models, w/ Marc von Wyl, Algolia, E30
  • 01:15 - How does NLP work?
  • 04:05 - How do Transformer-based NLP models work?
  • 08:20 - How to look at unstructured data to take advantage of it more.
  • 12:00 - How to leverage ML to bring more to unstructured data?
  • 15:25 - Approach for low resources languages.
  • 23:25 - Word embeddings for common reasoning needs.
  • 26:55 - Techniques to follow to improve error and ambiguity in training data or for a model in general.
  • 30:10 - Are GPTs leading effort in the field in a wrong direction?
  • 34:15 -  Is DeepLearning the end of AI?
  • 37:20 - What are some good NLP metrics to watch?
  • 42:05 - How do we get past transactional queries to conversational queries?
  • 52:00 - Is the Turing test still relevant for NLP or has it become obsolete?

    • References:

    ]]>     Fri, 22 Oct 2021 15:41:07 +0000 alexandra.petrus1@gmail.com (Marc von Wyl, Alexandra Petrus) https://appliedaipod.simplecast.com/episodes/nlp-speechtech-transformermodels-marcvonwyl-algolia-dprZkXlC
  • 01:15 - How does NLP work?
  • 04:05 - How do Transformer-based NLP models work?
  • 08:20 - How to look at unstructured data to take advantage of it more.
  • 12:00 - How to leverage ML to bring more to unstructured data?
  • 15:25 - Approach for low resources languages.
  • 23:25 - Word embeddings for common reasoning needs.
  • 26:55 - Techniques to follow to improve error and ambiguity in training data or for a model in general.
  • 30:10 - Are GPTs leading effort in the field in a wrong direction?
  • 34:15 -  Is DeepLearning the end of AI?
  • 37:20 - What are some good NLP metrics to watch?
  • 42:05 - How do we get past transactional queries to conversational queries?
  • 52:00 - Is the Turing test still relevant for NLP or has it become obsolete?

    • References:

    ]]>     NLP, Speech Tech, Transformer Models, w/ Marc von Wyl, Algolia, E30 Marc von Wyl, Alexandra Petrus 00:56:20 Join a conversation with Marc von Wyl, Sr ML Engineer @Algolia. Marc is teaching Natural Language Processing @EPITA, and is an experienced computer scientist specialized in Natural Language Processing, Machine Learning, and languages in general. Together, we dig into: unstructured data, improving error and ambiguity, and future of NLP. Join a conversation with Marc von Wyl, Sr ML Engineer @Algolia. Marc is teaching Natural Language Processing @EPITA, and is an experienced computer scientist specialized in Natural Language Processing, Machine Learning, and languages in general. Together, we dig into: unstructured data, improving error and ambiguity, and future of NLP. natural language processing, machine learning, nlg, speech technologies, transformer models, nlp no full 30     185e8d3a-88be-461d-b10a-4906ca0d7be0 AI/ML Projects, Methodologies, Best Practices, E29
  • 12:50 - Is the Turing test still relevant?
  • 21:30 - Why it's important to use methodologies in AI projects and what are some best practices out there fit for AI projects.
  • 28:00 - Falsehoods of methodologies in AI projects.
  • 35:00 - Is Agile a good framework for AI/ML projects/products?
  • 40:10 - How can projects get derailed or fail if you don't have a plan in place.
  • 44:20 - The best compliment one can get after building an AI project or system.
  • 47:25 - Is DL the end of AI?

    • References:

     

    ]]>     Tue, 5 Oct 2021 06:15:45 +0000 alexandra.petrus1@gmail.com (Alexandra Petrus, Ronald Schmelzer, Kathleen Walch) https://appliedaipod.simplecast.com/episodes/ai-ml-projects-methodologies-bestpractices-3RZ6m63J
  • 12:50 - Is the Turing test still relevant?
  • 21:30 - Why it's important to use methodologies in AI projects and what are some best practices out there fit for AI projects.
  • 28:00 - Falsehoods of methodologies in AI projects.
  • 35:00 - Is Agile a good framework for AI/ML projects/products?
  • 40:10 - How can projects get derailed or fail if you don't have a plan in place.
  • 44:20 - The best compliment one can get after building an AI project or system.
  • 47:25 - Is DL the end of AI?

    • References:

     

    ]]>     AI/ML Projects, Methodologies, Best Practices, E29 Alexandra Petrus, Ronald Schmelzer, Kathleen Walch 00:54:19 In this episode we talk about the importance of best practices methodologies for AI projects, why it's important to use methodologies, and how projects can get derailed or fail if you don't have a plan in place. We get to hear first hand from the builders of the CPMAI methodology by Cognilytica, Kathleen Walch and Ronald Schmelzer. Kathleen is a principal analyst, managing partner, and founder of Cognilytica, an AI research and advisory firm, and host of the popular AI Today podcast. She is a serial entrepreneur, savvy marketer, and tech industry connector. Prior to her work at Cognilytica, Kathleen founded tech startup-up HourlyBee, an online scheduling system for home services where she quickly became an expert in grassroots marketing, networking, and employee management. Before that, Kathleen was a key part of the direct marketing operation for Harte Hanks managing large scale direct mail campaigns for clients including Bed Bath and Beyond and BuyBuyBaby. Managing big data analytics, she created efficiencies in the process saving thousands of dollars and days of processing time from each campaign. Kathleen graduated from Loyola University with a degree in Marketing. In her spare time she enjoys hanging out with her husband and two young girls and working out – you can frequently find her on jogging paths and workout studios. Ron is principal analyst, managing partner, and founder of the Artificial Intelligence-focused analyst and advisory firm Cognilytica, and is also the host of the AI Today podcast, SXSW Innovation Awards Judge, founder and operator of TechBreakfast demo format events, and an expert in AI, Machine Learning, Enterprise Architecture, venture capital, startup and entrepreneurial ecosystems, and more. Prior to founding Cognilytica, Ron founded and ran ZapThink, an industry analyst firm focused on Service-Oriented Architecture (SOA), Cloud Computing, Web Services, XML, & Enterprise Architecture, which was acquired by Dovel Technologies in August 2011. Ron received a B.S. degree in Computer Science and Electrical Engineering from Massachusetts Institute of Technology (MIT) and MBA from Johns Hopkins University. In this episode we talk about the importance of best practices methodologies for AI projects, why it's important to use methodologies, and how projects can get derailed or fail if you don't have a plan in place. We get to hear first hand from the builders of the CPMAI methodology by Cognilytica, Kathleen Walch and Ronald Schmelzer. Kathleen is a principal analyst, managing partner, and founder of Cognilytica, an AI research and advisory firm, and host of the popular AI Today podcast. She is a serial entrepreneur, savvy marketer, and tech industry connector. Prior to her work at Cognilytica, Kathleen founded tech startup-up HourlyBee, an online scheduling system for home services where she quickly became an expert in grassroots marketing, networking, and employee management. Before that, Kathleen was a key part of the direct marketing operation for Harte Hanks managing large scale direct mail campaigns for clients including Bed Bath and Beyond and BuyBuyBaby. Managing big data analytics, she created efficiencies in the process saving thousands of dollars and days of processing time from each campaign. Kathleen graduated from Loyola University with a degree in Marketing. In her spare time she enjoys hanging out with her husband and two young girls and working out – you can frequently find her on jogging paths and workout studios. Ron is principal analyst, managing partner, and founder of the Artificial Intelligence-focused analyst and advisory firm Cognilytica, and is also the host of the AI Today podcast, SXSW Innovation Awards Judge, founder and operator of TechBreakfast demo format events, and an expert in AI, Machine Learning, Enterprise Architecture, venture capital, startup and entrepreneurial ecosystems, and more. Prior to founding Cognilytica, Ron founded and ran ZapThink, an industry analyst firm focused on Service-Oriented Architecture (SOA), Cloud Computing, Web Services, XML, & Enterprise Architecture, which was acquired by Dovel Technologies in August 2011. Ron received a B.S. degree in Computer Science and Electrical Engineering from Massachusetts Institute of Technology (MIT) and MBA from Johns Hopkins University. agile ai, cpm ai, cognilytica, ai today podcast show, turing test, ai systems, ai projects, ai methodologies no full 29     44380906-bb7b-4008-8aa7-a0aa00bfa7e9 Developing Creativity with AI & DL for Sound & Audio, with Valerio Velardo, E28
  • 2:10 - Using AI to augment and reshape creativity in a modern world. Psychological creativity and story creativity - can an AI model help AI music artists, today, get off their creative blocks?
  • 12:15 - Attempt to define ‘good’ music, using a cognitive music literature background.
  • 17:00 - Are we better or worse off, for AI in audio/music? Is it sustainable for the effort input and cost, impact and efficiency output?
  • 22:35 - ‘Deep Nostalgia” from myheritage initiative, and GPT-J - looking for strengths in the two approaches.
  • 29:25 - The Sound of AI community - a HuggingFace version for audio?
  • 31:15 - Train a DL - CNN sound classifier built with Pytorch and torchaudio on the Urban Sound 8k dataset.
  • 35:00 - Is deep learning a dead end for artificial intelligence?
  • 38:05 - Could someone that is a pure tech profile ever be in such an intersection in sync with the artistic world? Is it a pre-req to be domain savvy to build AI audio solutions?
  • 42:10 - Helping music tech companies with a focus on audio (voice, speech, sound), the experience so far.
  • 49:45 - Hard problems to solve when dealing with AI audio - Top three.
  • 56:50 - First piece of music composed by a machine.

    • References:

    ]]>     Thu, 29 Jul 2021 03:45:00 +0000 alexandra.petrus1@gmail.com (Alexandra Petrus, Valerio Velardo) https://appliedaipod.simplecast.com/episodes/creativity-aisoundaudio-valeriovelardo-e28-lMtpQoZz
  • 2:10 - Using AI to augment and reshape creativity in a modern world. Psychological creativity and story creativity - can an AI model help AI music artists, today, get off their creative blocks?
  • 12:15 - Attempt to define ‘good’ music, using a cognitive music literature background.
  • 17:00 - Are we better or worse off, for AI in audio/music? Is it sustainable for the effort input and cost, impact and efficiency output?
  • 22:35 - ‘Deep Nostalgia” from myheritage initiative, and GPT-J - looking for strengths in the two approaches.
  • 29:25 - The Sound of AI community - a HuggingFace version for audio?
  • 31:15 - Train a DL - CNN sound classifier built with Pytorch and torchaudio on the Urban Sound 8k dataset.
  • 35:00 - Is deep learning a dead end for artificial intelligence?
  • 38:05 - Could someone that is a pure tech profile ever be in such an intersection in sync with the artistic world? Is it a pre-req to be domain savvy to build AI audio solutions?
  • 42:10 - Helping music tech companies with a focus on audio (voice, speech, sound), the experience so far.
  • 49:45 - Hard problems to solve when dealing with AI audio - Top three.
  • 56:50 - First piece of music composed by a machine.

    • References:

    ]]>     Developing Creativity with AI & DL for Sound & Audio, with Valerio Velardo, E28 Alexandra Petrus, Valerio Velardo 00:57:48 Creativity and Artificial Intelligence music in all of its forms, with Valerio Velardo. Valerio is both a domain and technology expert that researched, taught, developed new technology in the space, built a startup and consulting firm around it. A musician at core, and AI for sound and audio engineer building The Sound of AI community day to day (the largest community in the world on AI, music, audio, and signal processing). Studied music and astrophysics at Bachelor's degree level. > Master's degrees in music composition, conducting and piano performance. > PhD in Music and Artificial Intelligence. Add on top contributions in the AI music space like: Developer of an AI music system that simulates a society of virtual songwriters, which generate rock songs and evolve their compositional style. Composer of dozens of pieces for piano, orchestra, video games and films. Adaptive music advocate. OR AI music consultant, data scientist, and programmer. Founded 2 startups, launched the leading academic journal and conference in music and AI, published research in international academic journals. AND expect an amazing episode that gives so much food for both mind and soul. It's all things music and audio. Jump in! Creativity and Artificial Intelligence music in all of its forms, with Valerio Velardo. Valerio is both a domain and technology expert that researched, taught, developed new technology in the space, built a startup and consulting firm around it. A musician at core, and AI for sound and audio engineer building The Sound of AI community day to day (the largest community in the world on AI, music, audio, and signal processing). Studied music and astrophysics at Bachelor's degree level. > Master's degrees in music composition, conducting and piano performance. > PhD in Music and Artificial Intelligence. Add on top contributions in the AI music space like: Developer of an AI music system that simulates a society of virtual songwriters, which generate rock songs and evolve their compositional style. Composer of dozens of pieces for piano, orchestra, video games and films. Adaptive music advocate. OR AI music consultant, data scientist, and programmer. Founded 2 startups, launched the leading academic journal and conference in music and AI, published research in international academic journals. AND expect an amazing episode that gives so much food for both mind and soul. It's all things music and audio. Jump in! the sound of ai, deep learning, music processing, ai music artist, signal processing, gptj, machine learning, ai audio, ai sound, ai music, pytorch for audio, deep learning for music, ai music systems yes full 28     eaf1528b-87fd-4137-af95-7b4c7613c135 Green AI: by and for AI, with Kordel France - AI startup founder, E27
  • 1:50 - Using AI for the environment
  • 6:55 - AI spices for agriculture
  • 12:15 - AI in outdoor uses
  • 15:15 - Green AI in Seekar's work
  • 22:15 - Training AI models for a green AI approach
  • 27:10 - Seekar in the medical space, and covid19 opportunities
  • 39:15 - NLP tradeoffs and takeaways
  • 43:10 - Similarities in practicing jiu-jitsu and AI

    • References:

    • Building AI models to be greener, and Seekar's Research Gate paper. This paper gives more insight into how Seekar was able to compress a large AI model down to a small enough size without compromising accuracy or performance.
    • COVID-AI app from AppStore
    • Exeda (Exploratory Emotional Detection Agent), mentioned in reference of using NLP for emotion recognition. Seekar's goal is to develop a psychological screening tool that can be downloaded as an app and used to check mental health daily through a 30-second voice recording in a similar manner as one brushes their teeth daily. 80% of personal communication happens through body language and Seekar’s products are utilizing this principle to better treat mental health. Research paper in progress.
    ]]>     Wed, 30 Jun 2021 13:36:53 +0000 alexandra.petrus1@gmail.com (Alexandra Petrus, Kordel France) https://appliedaipod.simplecast.com/episodes/greening-ai-byfor-ai-kordelfrance-aistartup-founder-G6nEpzIv
  • 1:50 - Using AI for the environment
  • 6:55 - AI spices for agriculture
  • 12:15 - AI in outdoor uses
  • 15:15 - Green AI in Seekar's work
  • 22:15 - Training AI models for a green AI approach
  • 27:10 - Seekar in the medical space, and covid19 opportunities
  • 39:15 - NLP tradeoffs and takeaways
  • 43:10 - Similarities in practicing jiu-jitsu and AI

    • References:

    • Building AI models to be greener, and Seekar's Research Gate paper. This paper gives more insight into how Seekar was able to compress a large AI model down to a small enough size without compromising accuracy or performance.
    • COVID-AI app from AppStore
    • Exeda (Exploratory Emotional Detection Agent), mentioned in reference of using NLP for emotion recognition. Seekar's goal is to develop a psychological screening tool that can be downloaded as an app and used to check mental health daily through a 30-second voice recording in a similar manner as one brushes their teeth daily. 80% of personal communication happens through body language and Seekar’s products are utilizing this principle to better treat mental health. Research paper in progress.
    ]]>     Green AI: by and for AI, with Kordel France - AI startup founder, E27 Alexandra Petrus, Kordel France 00:46:35 As the power of sensors and processing rises and their costs drops, artificial intelligence (AI) holds the potential for greening many systems, including itself. So how can AI help? There are two approaches to Green AI – using AI to solve sustainability challenges, and using AI in a more sustainable way. We talk to Kordel France - ML Engineer and AI startup founder. Kordel is the founder and CEO of Seekar Technologies, a technology startup that builds artificial intelligence products for a variety of industries. Outside of maintaining Seekar's vision and developing the capability of its AI, he is usually writing code but also enjoys rolling jiu-jitsu. He is constantly furthering his knowledge of artificial intelligence and his ultimate career goal is to simulate consciousness through AI and robotics. He also acts as a consultant for other technology startups. Prior to joining Seekar full time, Kordel was an engineer for missiles and target acquisition systems for Raytheon and other defense contractors. The company was founded in 2018 based on four principles: 1) Make artificial intelligence mobile (without the need for a cloud connection). 2) Make artificial intelligence more secure and trustworthy by removing bias from models and giving users control over their data. 3) Build artificial intelligence so that it can explain its decisions, just as a human can - relieve the "black box" stereotypes. 4) Build artificial intelligence that augments the efficiency, safety and throughput of current jobs, not replaces them. As the power of sensors and processing rises and their costs drops, artificial intelligence (AI) holds the potential for greening many systems, including itself. So how can AI help? There are two approaches to Green AI – using AI to solve sustainability challenges, and using AI in a more sustainable way. We talk to Kordel France - ML Engineer and AI startup founder. Kordel is the founder and CEO of Seekar Technologies, a technology startup that builds artificial intelligence products for a variety of industries. Outside of maintaining Seekar's vision and developing the capability of its AI, he is usually writing code but also enjoys rolling jiu-jitsu. He is constantly furthering his knowledge of artificial intelligence and his ultimate career goal is to simulate consciousness through AI and robotics. He also acts as a consultant for other technology startups. Prior to joining Seekar full time, Kordel was an engineer for missiles and target acquisition systems for Raytheon and other defense contractors. The company was founded in 2018 based on four principles: 1) Make artificial intelligence mobile (without the need for a cloud connection). 2) Make artificial intelligence more secure and trustworthy by removing bias from models and giving users control over their data. 3) Build artificial intelligence so that it can explain its decisions, just as a human can - relieve the "black box" stereotypes. 4) Build artificial intelligence that augments the efficiency, safety and throughput of current jobs, not replaces them. sustainable ai, sustainability, green ai, ml, agriculture, model efficiency, nlu, asr, nlp no full 27     00fae924-4e73-4ad5-9c10-b6e08524b1a4 Drive CX and Revenue with NLP in marketing and ecommerce, E26
  • 01:25 - Do NLP models need someone that is not completely monolingual?
  • 05:20 - Types of NLP  in marketing and/or e-commerce.
  • 11:30 - Challenges in the e-commerce space: Behavioural data gathered by cookies has disappeared.
  • 16:00 - Every 40 seconds, our attention breaks. Is that fact taken into account in NLP modeling for personalization?
  • 18:20 - Models like GPT-3 open a whole new commercialization avenue in the marketing world, specifically for content creation. Impact of the wave.
  • 21:50 - Is it fair to use an AI model for IP and content in such a way you influence millions of users on a website at once?
  • 30:45 - Explainable models, debugging and how models could function.
  • 37:00 - Provocative contexts for data scientists nowadays.
  • 41:00 - Future of NLP.

    • Episode references:

    ]]>     Thu, 18 Mar 2021 09:47:19 +0000 alexandra.petrus1@gmail.com (Katherine Munro, Alexandra Petrus) https://appliedaipod.simplecast.com/episodes/drive-cx-revenue-nlp-marketing-ecommerce-_FOQ49YL
  • 01:25 - Do NLP models need someone that is not completely monolingual?
  • 05:20 - Types of NLP  in marketing and/or e-commerce.
  • 11:30 - Challenges in the e-commerce space: Behavioural data gathered by cookies has disappeared.
  • 16:00 - Every 40 seconds, our attention breaks. Is that fact taken into account in NLP modeling for personalization?
  • 18:20 - Models like GPT-3 open a whole new commercialization avenue in the marketing world, specifically for content creation. Impact of the wave.
  • 21:50 - Is it fair to use an AI model for IP and content in such a way you influence millions of users on a website at once?
  • 30:45 - Explainable models, debugging and how models could function.
  • 37:00 - Provocative contexts for data scientists nowadays.
  • 41:00 - Future of NLP.

    • Episode references:

    ]]>     Drive CX and Revenue with NLP in marketing and ecommerce, E26 Katherine Munro, Alexandra Petrus 00:44:39 A whole new world of possibilities opens when using AI and Natural Language Processing (NLP) to gather value from unstructured text data. Katherine Munro, tells us about NLP, its applications, and its future. Katherine is a Data Scientist and Data Science Ambassador in the e-commerce domain, conducting training in AI, machine learning and data science. With a background in computational linguistics and (deep) machine learning, she has worked in research and development for Mercedes-Benz and the Fraunhofer Institute, specialising in user interfaces and natural language understanding. She has also worked as a university lecturer, Team Leader and Sales Coach, and is now education Lead for Women in AI Upper Austria and volunteer mentor at Female Coders Linz. A whole new world of possibilities opens when using AI and Natural Language Processing (NLP) to gather value from unstructured text data. Katherine Munro, tells us about NLP, its applications, and its future. Katherine is a Data Scientist and Data Science Ambassador in the e-commerce domain, conducting training in AI, machine learning and data science. With a background in computational linguistics and (deep) machine learning, she has worked in research and development for Mercedes-Benz and the Fraunhofer Institute, specialising in user interfaces and natural language understanding. She has also worked as a university lecturer, Team Leader and Sales Coach, and is now education Lead for Women in AI Upper Austria and volunteer mentor at Female Coders Linz. ecommerce, natural language processing, gpt3, linguistics, explainability, natural language understanding, data scientists, nlu, personalization, marketing ai, nlp no full 26     5bfad6ed-e021-4cd0-a684-3f9a1a1ef3ce Deep tech startups, VC investments, and deep problems, E25
  • 01:35 - Why did you decide to continue bootstrapping and decided to not opt for an investment.
  • 06:50 - In the age of the million dollar supremacy how much money is a VC ready to invest.
  • 08:56 Open source AI, good or bad idea? - VC and deep tech founder perspective.
  • 14:15 - What’s the ideal shareholder split?
  • 20:40 - Should one opt for Europe instead of Silicon Valley to raise capital faster?
  • 23:10 - Effects of the pandemic on the deep tech investment space.
  • 29:10 - Do VCs run their due diligence in their investment process + should VCs start considering checking reddit channels from now on?
  • 32:45 - The gap between early stage deep tech startups and investments.
  • 41:30 - Time, as an essential factor, in a deep tech startup  - time from idea to prototype.
  • 49:45 - How is a founder coping with the long development cycle from a cost / business model perspective.
  • 55:00 - Pre-seed to seed stage, where is the role of AI/ML: core, feature, end-to-end, black box.
  • 59:10 - How much is reusing vs. proprietary AI work.
  • 01:01:15 - What does a VC scout do?

    • Reference links:

    Alexander Piskunov's LinkedIn

    Amandine Flachs' LinkedIn

    Amandine Flachs' Twitter

    Venture Capital Scout Programs

    ]]>     Thu, 11 Mar 2021 11:04:59 +0000 alexandra.petrus1@gmail.com (Amandine Flachs, Alexandra Petrus, Alexander Piskunov) https://appliedaipod.simplecast.com/episodes/deeptech-startups-vc-investments-deepproblems-UGrNSueA
  • 01:35 - Why did you decide to continue bootstrapping and decided to not opt for an investment.
  • 06:50 - In the age of the million dollar supremacy how much money is a VC ready to invest.
  • 08:56 Open source AI, good or bad idea? - VC and deep tech founder perspective.
  • 14:15 - What’s the ideal shareholder split?
  • 20:40 - Should one opt for Europe instead of Silicon Valley to raise capital faster?
  • 23:10 - Effects of the pandemic on the deep tech investment space.
  • 29:10 - Do VCs run their due diligence in their investment process + should VCs start considering checking reddit channels from now on?
  • 32:45 - The gap between early stage deep tech startups and investments.
  • 41:30 - Time, as an essential factor, in a deep tech startup  - time from idea to prototype.
  • 49:45 - How is a founder coping with the long development cycle from a cost / business model perspective.
  • 55:00 - Pre-seed to seed stage, where is the role of AI/ML: core, feature, end-to-end, black box.
  • 59:10 - How much is reusing vs. proprietary AI work.
  • 01:01:15 - What does a VC scout do?

    • Reference links:

    Alexander Piskunov's LinkedIn

    Amandine Flachs' LinkedIn

    Amandine Flachs' Twitter

    Venture Capital Scout Programs

    ]]>     Deep tech startups, VC investments, and deep problems, E25 Amandine Flachs, Alexandra Petrus, Alexander Piskunov 01:05:21 The entrepreneurs/scientists in the deep tech space are not put off by big problems—or the time and effort it takes to solve them or make a deep tech startup run. At the same time, there has been no shortage of venture capital infusion into small companies focused on deep tech. At the same time, governments around the world understand the shift and the role of the new AI technologies and support new tech R&D more. We continue the conversation of the two worlds - VCs and deep tech founders - with two main actors in this space: > Alexander Piskunov - partner of the San-Francisco based VC fund Ruvento Ventures, a deep-tech venture capital fund, specialising on AI, robotics and quantum computing investments in emerging markets. > Amandine Flachs - CEO & co-founder of WildMeta - AI for video games, supporter of early stage startup founders for the past 10yrs, and a VC scout for UK-based BackedVC. Two worlds in one episode. Without further ado: hope you enjoy it! The entrepreneurs/scientists in the deep tech space are not put off by big problems—or the time and effort it takes to solve them or make a deep tech startup run. At the same time, there has been no shortage of venture capital infusion into small companies focused on deep tech. At the same time, governments around the world understand the shift and the role of the new AI technologies and support new tech R&D more. We continue the conversation of the two worlds - VCs and deep tech founders - with two main actors in this space: > Alexander Piskunov - partner of the San-Francisco based VC fund Ruvento Ventures, a deep-tech venture capital fund, specialising on AI, robotics and quantum computing investments in emerging markets. > Amandine Flachs - CEO & co-founder of WildMeta - AI for video games, supporter of early stage startup founders for the past 10yrs, and a VC scout for UK-based BackedVC. Two worlds in one episode. Without further ado: hope you enjoy it! vc capital for deep tech, ai startup, deep tech investment, vc scout, proprietary ai, open source ai, early stage, deep tech startup, deep tech vc, vc investment no full 25     ec49d81a-c495-45f4-90ec-a6141908d099 World’s #1 AI MOOC w/ creator Prof. Teemu Roos: AI Course, AI Perception, Finland, Education & Learning, E24
  • 02:43 - Motivation behind building a scaled MOOC AI course
  • 06:40 - Effort behind an AI course to educate 1% of EU citizens
  • 10:45 - Finland's heritage in education, and AI takeaways for course takers
  • 20:55 - AI Challenge, or how are companies joining the AI education movement
  • 25:45 - Digital spending priority: digital skills & education OR upgrading our health systems - Opinion
  • 30:13 - Feels of a creator after building a popular AI course
  • 36:55 - Ethics of AI course, and Elements of AI new chapters exploration

    • References:

    ]]>     Thu, 18 Feb 2021 11:04:28 +0000 alexandra.petrus1@gmail.com (Alexandra Petrus, Teemu Roos) https://appliedaipod.simplecast.com/episodes/worlds-best-ai-mooc-profteemuroos-course-perception-education-learning-fWaZ2PHd
  • 02:43 - Motivation behind building a scaled MOOC AI course
  • 06:40 - Effort behind an AI course to educate 1% of EU citizens
  • 10:45 - Finland's heritage in education, and AI takeaways for course takers
  • 20:55 - AI Challenge, or how are companies joining the AI education movement
  • 25:45 - Digital spending priority: digital skills & education OR upgrading our health systems - Opinion
  • 30:13 - Feels of a creator after building a popular AI course
  • 36:55 - Ethics of AI course, and Elements of AI new chapters exploration

    • References:

    ]]>     World’s #1 AI MOOC w/ creator Prof. Teemu Roos: AI Course, AI Perception, Finland, Education & Learning, E24 Alexandra Petrus, Teemu Roos 00:44:48 In 2018, technology company Reaktor and the University of Helsinki came together with the goal to build a free online course to teach the basics of AI to people from a wide range of backgrounds. Elements of AI was brought to life, on a mission to create a worldwide movement that helps people be empowered, not threatened by AI. What makes Elements of AI so great for being ranked world’s #1 AI course, we find out from its one of the very creators, prof Teemu Roos, Department of Computer Science, University of Helsinki. Teemu Roos is an expert and educator in AI, machine learning, and data science. The course includes modules on machine learning, neural networks, the philosophy of artificial intelligence and the use of artificial intelligence to solve problems. It consists of two parts: Introduction to AI and its sequel, Building AI. The course explains the implications of AI in real-life situations with interactive exercises. Stats: 600,000+ citizens and best user ratings around the world. Across 170 countries. 40% of course takers are female, and 25% are over 45 yrs old. 2 ECTS credits, 25h avg completion time, 6 chapters, 25 exercises. Age, profession or country doesn't matter. After taking the course, students can: * Understand some of the major implications of AI * Think critically about AI news and claims * Define and discuss what AI is * Explain the methods that make AI possible Fun fact: As a gift marking the end of Finland’s Presidency of the Council of the European Union, Finland is on a mission to extend free access to the Elements of AI course in all EU languages during 2020/2021 and educate 1# of the EU citizens into the basics of AI. In 2018, technology company Reaktor and the University of Helsinki came together with the goal to build a free online course to teach the basics of AI to people from a wide range of backgrounds. Elements of AI was brought to life, on a mission to create a worldwide movement that helps people be empowered, not threatened by AI. What makes Elements of AI so great for being ranked world’s #1 AI course, we find out from its one of the very creators, prof Teemu Roos, Department of Computer Science, University of Helsinki. Teemu Roos is an expert and educator in AI, machine learning, and data science. The course includes modules on machine learning, neural networks, the philosophy of artificial intelligence and the use of artificial intelligence to solve problems. It consists of two parts: Introduction to AI and its sequel, Building AI. The course explains the implications of AI in real-life situations with interactive exercises. Stats: 600,000+ citizens and best user ratings around the world. Across 170 countries. 40% of course takers are female, and 25% are over 45 yrs old. 2 ECTS credits, 25h avg completion time, 6 chapters, 25 exercises. Age, profession or country doesn't matter. After taking the course, students can: * Understand some of the major implications of AI * Think critically about AI news and claims * Define and discuss what AI is * Explain the methods that make AI possible Fun fact: As a gift marking the end of Finland’s Presidency of the Council of the European Union, Finland is on a mission to extend free access to the Elements of AI course in all EU languages during 2020/2021 and educate 1# of the EU citizens into the basics of AI. reaktor, ai course, elements of ai, eu citizens, university of helsinki, ai challenge, ai interactive exercises, ai education, ai mooc, finland, real life ai, computer science no full 24     9ea59d96-2d17-4a2d-8dfe-da4dd25bee3a AI in game development & UX for gamers, w/ Unity ML-Agents' PM, Jeffrey Shih, E23
  • 02:10 - Brief history of game development in relation to AI advancements
  • 10:15 - Games driving advances in AI research: PR or reality?
  • 15:50 - Latest AI technique popular in game development
  • 20:55 - The role of Unity Game Simulation to reduce time & cost with games pre-launch testing
  • 26:45 - What’s fancy in the games world
  • 31:35 - Streaming a game vs. traditional edge processing, gamer’s lens
  • 37:55 - What's next for games & AI

    • References:

    Host's notes:

    ]]>     Tue, 2 Feb 2021 11:11:24 +0000 alexandra.petrus1@gmail.com (Jeffrey Shih, Alexandra Petrus) https://appliedaipod.simplecast.com/episodes/ai-gamedevelopment-ux-gamers-unity-mlagents-jeffreyshih-e23-9mGCdJSB
  • 02:10 - Brief history of game development in relation to AI advancements
  • 10:15 - Games driving advances in AI research: PR or reality?
  • 15:50 - Latest AI technique popular in game development
  • 20:55 - The role of Unity Game Simulation to reduce time & cost with games pre-launch testing
  • 26:45 - What’s fancy in the games world
  • 31:35 - Streaming a game vs. traditional edge processing, gamer’s lens
  • 37:55 - What's next for games & AI

    • References:

    Host's notes:

    ]]>     AI in game development & UX for gamers, w/ Unity ML-Agents' PM, Jeffrey Shih, E23 Jeffrey Shih, Alexandra Petrus 00:41:32 Unity, the world's leading game engine, is leveraging the latest advancements in deep learning through the Unity Machine Learning Agents Toolkit (one of the most popular open source toolkits for deep learning) to empower game developers and creators to solve gaming's biggest challenges. In a conversation with Jeffrey Shih, Lead Product Manager with the AI team at Unity Technologies. Tune in to understand more about the gaming industry, AI advancements and their relation to the gaming industry, challenges in real game situations, AI progress and what's next for game AI. Jeff is responsible for driving product strategy and partnerships for Unity Machine Learning Agents, a toolkit that allows Unity game developers to leverage the latest advancements in deep learning. Prior to joining Unity Technologies, Jeff was a lead for cloud intelligence products at Microsoft and a core contributor to Deloitte’s Advanced Analytics practice. Jeff has spent his entire career at the intersection of data, technology, and business. Jeff holds a BS in Electrical Engineering and an MBA from the University of Texas at Austin. Unity, the world's leading game engine, is leveraging the latest advancements in deep learning through the Unity Machine Learning Agents Toolkit (one of the most popular open source toolkits for deep learning) to empower game developers and creators to solve gaming's biggest challenges. In a conversation with Jeffrey Shih, Lead Product Manager with the AI team at Unity Technologies. Tune in to understand more about the gaming industry, AI advancements and their relation to the gaming industry, challenges in real game situations, AI progress and what's next for game AI. Jeff is responsible for driving product strategy and partnerships for Unity Machine Learning Agents, a toolkit that allows Unity game developers to leverage the latest advancements in deep learning. Prior to joining Unity Technologies, Jeff was a lead for cloud intelligence products at Microsoft and a core contributor to Deloitte’s Advanced Analytics practice. Jeff has spent his entire career at the intersection of data, technology, and business. Jeff holds a BS in Electrical Engineering and an MBA from the University of Texas at Austin. unity machine learning agents, game creators, ai games, deep reinforcement learning, unity ml-agents, game development no full 23     738499a5-2e48-4871-81df-fc7ab1de877b Game up: AI models, GPT, and Cyberpunk 2077, with former AI teacher, Virgil Ilian, E22
  • 2:00 - Hottest AI trends for 2021
  • 5:35 - Open source for AI - paradigm shift
  • 11:30 - AI model supremacy
  • 21:10 - Authorship rights when AI contributes
  • 31:00 - GPT encapsulating knowledge?
  • 34:00 - Human consciousness replicable as computation
  • 41:50 - Are we in a matrix?
  • 42:30 - Cyberpunk 2077
  • 50:50 - Can AI create emotion the way we cannot tell it is AI?

    • Conversation references:

    Host's notes:

    • Gartner Top Strategic Technology Trends for 2021 
    • Jukebox - music-making tool by OpenAI. While the achievement is significant from a technological perspective, the results are unlikely to threaten the livelihoods of human musicians.
    • DALL·E generates images in response to written inputs, and (whose name honours both Salvador Dalí and Pixar’s WALL·E) is a decoder-only transformer model. From Andrew Ng's 'The Batch' newsletter: OpenAI trained it on images with text captions taken from the internet. Given a sequence of tokens that represent a text and/or image, it predicts the next token. Then it predicts the next token given its previous prediction and all previous tokens. This allows DALL·E to generate images from a wide range of text prompts and to generate fanciful images that aren’t represented in its training data, such as “an armchair in the shape of an avocado.” WHY it matters? As Ilya Sutskever puts it ‘combining language and vision techniques could overcome computer vision’s need for large, well labeled datasets’.

     

     

     

     

     

    ]]>     Wed, 20 Jan 2021 10:20:40 +0000 alexandra.petrus1@gmail.com (Alexandra Petrus, Virgil Ilian) https://appliedaipod.simplecast.com/episodes/gameup-aimodels-gpt-cyberpunk2077-former-aiteacher-virgililian-e22-_0icGjKz
  • 2:00 - Hottest AI trends for 2021
  • 5:35 - Open source for AI - paradigm shift
  • 11:30 - AI model supremacy
  • 21:10 - Authorship rights when AI contributes
  • 31:00 - GPT encapsulating knowledge?
  • 34:00 - Human consciousness replicable as computation
  • 41:50 - Are we in a matrix?
  • 42:30 - Cyberpunk 2077
  • 50:50 - Can AI create emotion the way we cannot tell it is AI?

    • Conversation references:

    Host's notes:

    • Gartner Top Strategic Technology Trends for 2021 
    • Jukebox - music-making tool by OpenAI. While the achievement is significant from a technological perspective, the results are unlikely to threaten the livelihoods of human musicians.
    • DALL·E generates images in response to written inputs, and (whose name honours both Salvador Dalí and Pixar’s WALL·E) is a decoder-only transformer model. From Andrew Ng's 'The Batch' newsletter: OpenAI trained it on images with text captions taken from the internet. Given a sequence of tokens that represent a text and/or image, it predicts the next token. Then it predicts the next token given its previous prediction and all previous tokens. This allows DALL·E to generate images from a wide range of text prompts and to generate fanciful images that aren’t represented in its training data, such as “an armchair in the shape of an avocado.” WHY it matters? As Ilya Sutskever puts it ‘combining language and vision techniques could overcome computer vision’s need for large, well labeled datasets’.

     

     

     

     

     

    ]]>     Game up: AI models, GPT, and Cyberpunk 2077, with former AI teacher, Virgil Ilian, E22 Alexandra Petrus, Virgil Ilian 00:55:14 AI today is a catchall term. I’ve invited Virgil to catch a bit on some of the hottest 2021 trends, games and moves. Virgil Ilian, PhD - Senior Research & Strategy Consultant (Artificial Intelligence, Blockchain) is an educator and techie having fun at the limit of art and technology. He is a former AI teacher that currently helps the industry to bridge AI and Blockchain research and work in their products and initiatives. He also helps build an ecosystem in his role as Program Manager at BeAI, Europe's AI Pre-Accelerator. AI today is a catchall term. I’ve invited Virgil to catch a bit on some of the hottest 2021 trends, games and moves. Virgil Ilian, PhD - Senior Research & Strategy Consultant (Artificial Intelligence, Blockchain) is an educator and techie having fun at the limit of art and technology. He is a former AI teacher that currently helps the industry to bridge AI and Blockchain research and work in their products and initiatives. He also helps build an ecosystem in his role as Program Manager at BeAI, Europe's AI Pre-Accelerator. cyberpunk 2077, gpt, ai trends 2021, ai authorship, creative ai art, ai supremacy, open source ai, gaming, ai model no full 22     b861cd4d-ba17-4e67-911c-b43ced9b1791 #BeAIStartup: WIYO - matches recommendation for professionals, E21
  • Why do you do what you do?
  • Using big data and AI to connect big groups - how is that going and what are you current challenges?
  • How does a customer journey usually go. Take the example of the BeAI community, what would the journey look for us?
  • “Share your travel plans with your whole network or just a few selected friends and see if any of your plans match”, do you find it hard to resonate with people given the pandemic and limitation of travels? Have you pivoted on this USP?

    • Reference links:

    ]]>     Wed, 2 Dec 2020 14:13:00 +0000 alexandra.petrus1@gmail.com (Alexandra Petrus, Olga Pantchenko) https://appliedaipod.simplecast.com/episodes/beaistartup-wiyo-recommendation-matches-professionals-e21-rMrRSGEv
  • Why do you do what you do?
  • Using big data and AI to connect big groups - how is that going and what are you current challenges?
  • How does a customer journey usually go. Take the example of the BeAI community, what would the journey look for us?
  • “Share your travel plans with your whole network or just a few selected friends and see if any of your plans match”, do you find it hard to resonate with people given the pandemic and limitation of travels? Have you pivoted on this USP?

    • Reference links:

    ]]>     #BeAIStartup: WIYO - matches recommendation for professionals, E21 Alexandra Petrus, Olga Pantchenko 00:19:01 #BeAI Startup and Netherlands-based, WIYO, aims at matching professionals with potentially interesting network, and helping build communities of likeminded people. Its targeted solution helps entrepreneurs, business school alumni, professional coaches, developers, digital nomads, and other people that depend on doing business with important network assets to get connected in a more efficient, safe and economical way. The current solution uses content-based filtering and clustering methods to provide recommendation of matches to users based on Location (current or travelling), Interests, Business school and Work experience. Let’s find out from their founder, Olga Pantchenko, about what they do, current struggles and how a pandemic changed their focus or not. #BeAI Startup and Netherlands-based, WIYO, aims at matching professionals with potentially interesting network, and helping build communities of likeminded people. Its targeted solution helps entrepreneurs, business school alumni, professional coaches, developers, digital nomads, and other people that depend on doing business with important network assets to get connected in a more efficient, safe and economical way. The current solution uses content-based filtering and clustering methods to provide recommendation of matches to users based on Location (current or travelling), Interests, Business school and Work experience. Let’s find out from their founder, Olga Pantchenko, about what they do, current struggles and how a pandemic changed their focus or not. wiyo, match professionals, clustering, olga pantchenko, content-based filtering, traveling matching, network community no full 21     9d45e4c0-0726-43a7-8dee-73308d3b56ee Product research teams, AI in Finance, and D&I with Wendy Tay - scientist-turned-PM @BorealisAI, E20 Notes:

    1. The role of a PM in a research environment
    2. Recurring skills needed for an AI PM to have successful products built and good communication with both researchers and business types
    3. AI model governance and why is important in banking
    4. Where can AI help in the banking industry
    5. What is responsible AI
    6. Borealis and RBC initiatives to help with social good causes and women in AI
    7. Diversity and Inclusion - what it means and why it matters for product management
    8. Top things for a PM in a research project journey

    Reference links:

    ]]>     Mon, 23 Nov 2020 09:51:38 +0000 alexandra.petrus1@gmail.com (Wendy Tay, Alexandra Petrus) https://appliedaipod.simplecast.com/episodes/productresearch-financeai-di-wendytay-pm-e20-5Ursfx_P Notes:

    1. The role of a PM in a research environment
    2. Recurring skills needed for an AI PM to have successful products built and good communication with both researchers and business types
    3. AI model governance and why is important in banking
    4. Where can AI help in the banking industry
    5. What is responsible AI
    6. Borealis and RBC initiatives to help with social good causes and women in AI
    7. Diversity and Inclusion - what it means and why it matters for product management
    8. Top things for a PM in a research project journey

    Reference links:

    ]]>     Product research teams, AI in Finance, and D&I with Wendy Tay - scientist-turned-PM @BorealisAI, E20 Wendy Tay, Alexandra Petrus 00:23:28 In a conversation with a scientist-turned-product-manager at the intersection of emerging technology, product and design. Hear Wendy Tay, Product Manager at Borealis AI dive into topics like working as a product manager in a research environment, AI in Banking, women in tech, D&I and her top things to make a difference in a PM role for research oriented teams and projects. Wendy left the academic life behind to take on various product and tech roles at Thomson Reuters, Microsoft and Microsoft Research previously. She has a strong interest in AI technologies as well as the ethical and fairness implications of AI. Borealis AI is Royal Bank of Canada’s Institute for Research focused at world-class research lab for applications of machine learning and artificial intelligence to finance. It dedicates to applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems. In a conversation with a scientist-turned-product-manager at the intersection of emerging technology, product and design. Hear Wendy Tay, Product Manager at Borealis AI dive into topics like working as a product manager in a research environment, AI in Banking, women in tech, D&I and her top things to make a difference in a PM role for research oriented teams and projects. Wendy left the academic life behind to take on various product and tech roles at Thomson Reuters, Microsoft and Microsoft Research previously. She has a strong interest in AI technologies as well as the ethical and fairness implications of AI. Borealis AI is Royal Bank of Canada’s Institute for Research focused at world-class research lab for applications of machine learning and artificial intelligence to finance. It dedicates to applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems. ai in finance, ai model governance, respect ai, women in ai, d&i, product manager, research teams, borealis ai, women in tech, ai in banking, rbc no full 20     536dbc29-8f78-4ba0-b7d6-2087f0bd3488 #BeAIStartup: EVAAI - replicate personalities as AI assistants for mental health, E19
  • 5000+ likes on Facebook, that is a good crowd for a startup, how did you build this?
  • Current tech stack and challenges.
  • Current increased online consumption and trends versus your solution - how do you see everything evolving?
  • What are the languages covered?

    • Reference links:

    ]]>     Tue, 17 Nov 2020 08:13:00 +0000 alexandra.petrus1@gmail.com (Fardan Qureshi, Alexandra Petrus) https://appliedaipod.simplecast.com/episodes/beaistartup-evaai-replicate-personalities-ai-assistants-mentalhealth-e19-_g__3BEd
  • 5000+ likes on Facebook, that is a good crowd for a startup, how did you build this?
  • Current tech stack and challenges.
  • Current increased online consumption and trends versus your solution - how do you see everything evolving?
  • What are the languages covered?

    • Reference links:

    ]]>     #BeAIStartup: EVAAI - replicate personalities as AI assistants for mental health, E19 Fardan Qureshi, Alexandra Petrus 00:18:10 #BeAI Startup and Estonian-based, EVAAI, is a machine and deep learning platform that allows mental health professionals to replicate their personalities as AI assistants. Its goal is to use this platform to create AI assistants for different mental health issues such as depression, social anxiety, paranoia, etc. Currently, they create a solution for social anxiety. In a conversation with Fardan Qureshi, their Co-Founder & CEO. We discuss how is EVAAI solving a complex problem that can benefit billions of people around the world. With 1 psychiatrist for 100,000 people around the world and expensive therapy, depression may become the leading disease by 2030. EVAAI's growth can help solve this problem. Their interactive journaling tool to be soon released. The journaling tool will act like an artificial human brain, and create thought networks for organising and connecting thoughts to find patterns within a mind. AI neural networks to power the journaling tool. Tune in to hear more. #BeAI Startup and Estonian-based, EVAAI, is a machine and deep learning platform that allows mental health professionals to replicate their personalities as AI assistants. Its goal is to use this platform to create AI assistants for different mental health issues such as depression, social anxiety, paranoia, etc. Currently, they create a solution for social anxiety. In a conversation with Fardan Qureshi, their Co-Founder & CEO. We discuss how is EVAAI solving a complex problem that can benefit billions of people around the world. With 1 psychiatrist for 100,000 people around the world and expensive therapy, depression may become the leading disease by 2030. EVAAI's growth can help solve this problem. Their interactive journaling tool to be soon released. The journaling tool will act like an artificial human brain, and create thought networks for organising and connecting thoughts to find patterns within a mind. AI neural networks to power the journaling tool. Tune in to hear more. depression, ai assistants for mental health, social anxiety, mental health, fardan qureshi no full 19     3e91df6d-0fe6-4f11-a57e-1086791ff930 #BeAIStartup: Factide - insights from dark and clear web, E18
  • Why do you do what you do?
  • Are you a cybersec company?
  • Current AI used.
  • Problems addressed & industries targeted.
  • AI regulations - where to stand.

    • Reference links

    ]]>     Mon, 16 Nov 2020 08:35:00 +0000 alexandra.petrus1@gmail.com (Marius Stanciu, Alexandru Patru, Alexandra Petrus) https://appliedaipod.simplecast.com/episodes/beaistartup-factide-insights-dark-clear-web-e18-aMzekE4n
  • Why do you do what you do?
  • Are you a cybersec company?
  • Current AI used.
  • Problems addressed & industries targeted.
  • AI regulations - where to stand.

    • Reference links

    ]]>     #BeAIStartup: Factide - insights from dark and clear web, E18 Marius Stanciu, Alexandru Patru, Alexandra Petrus 00:15:37 #BeAI Startup and Romanian-based, Factide, is on a mission for knowledge over data - through insights. They believe that knowledge sharing and cooperation is the most efficient way to progress. The startup is focused to extract knowledge from raw data across the dark and clear web. The team is heavily focused on domain knowledge (threat and business analysts) and we virtually sit down with Marius Stanciu- Co-Founder & Machine Learning and Natural Language Processing enthusiast with a background in Software Engineering, and Alexandru Patru - Co-Founder & Business Development Specialist with in-depth insights in foreign affairs and corporate / public sectors. #BeAI Startup and Romanian-based, Factide, is on a mission for knowledge over data - through insights. They believe that knowledge sharing and cooperation is the most efficient way to progress. The startup is focused to extract knowledge from raw data across the dark and clear web. The team is heavily focused on domain knowledge (threat and business analysts) and we virtually sit down with Marius Stanciu- Co-Founder & Machine Learning and Natural Language Processing enthusiast with a background in Software Engineering, and Alexandru Patru - Co-Founder & Business Development Specialist with in-depth insights in foreign affairs and corporate / public sectors. factide, marius stanciu, clear web, insights, cybersec, dark web, alexandru patru, knowledge no full 18     04abef11-4ea9-4869-9bce-daed7e646251 #BeAIStartup: Emoface - help autistic spectrum w/ AI-driven emotional avatars, E17
  • Why do you do what you do?
  • Where and what do you use AI for?
  • How does it feel, for a computer science researcher, to build a research spin off startup in France? What do you struggle most with?
  • Who are your customers and users?
  • How does a customer journey feels like?

    • Reference links:

    ]]>     Mon, 9 Nov 2020 14:13:09 +0000 alexandra.petrus1@gmail.com (Adela Barbulescu, Alexandra Petrus) https://appliedaipod.simplecast.com/episodes/beaistartup-emoface-autistic-ai-emotionalavatars-e17-bUwFiBDA
  • Why do you do what you do?
  • Where and what do you use AI for?
  • How does it feel, for a computer science researcher, to build a research spin off startup in France? What do you struggle most with?
  • Who are your customers and users?
  • How does a customer journey feels like?

    • Reference links:

    ]]>     #BeAIStartup: Emoface - help autistic spectrum w/ AI-driven emotional avatars, E17 Adela Barbulescu, Alexandra Petrus 00:15:28 Research spin-off of the Grenoble Alpes University in France, Emoface, joins the #BeAI Pre-Accelerator. They propose apps that train social skills for people on the autistic spectrum by interacting with AI-driven emotional avatars. Its mission is to help the social inclusion of people with autism and other populations that present difficulties in social interactions. In a conversation with Adela Barbulescu, Emoface - CEO & Co-Founder, intrinsically touched by the topic. Part of the #BeAI program Emoface is looking to reinforce know-how to advance their existing AI technology on emotion generation and to add new modules related to complex emotion recognition. Research spin-off of the Grenoble Alpes University in France, Emoface, joins the #BeAI Pre-Accelerator. They propose apps that train social skills for people on the autistic spectrum by interacting with AI-driven emotional avatars. Its mission is to help the social inclusion of people with autism and other populations that present difficulties in social interactions. In a conversation with Adela Barbulescu, Emoface - CEO & Co-Founder, intrinsically touched by the topic. Part of the #BeAI program Emoface is looking to reinforce know-how to advance their existing AI technology on emotion generation and to add new modules related to complex emotion recognition. ai generated avatars, beai startup, emoface, autistic spectrum, grenoble alpes university, autism, adela barbulescu no full 17     4222002d-85b9-4f28-881d-517887b3cf07 Accelerate Revenue, Positioning, and Growth, with Tudor Goicea | CRO @TypingDNA, E16 Notes:

    1. Industries most interested during these times, and the ones taking a step back
    2. Road to product market fit
    3. Communicating with potential clients
    4. Sales & growth team profile
    ]]>     Mon, 2 Nov 2020 10:05:17 +0000 alexandra.petrus1@gmail.com (Tudor Goicea, Alexandra Petrus) https://appliedaipod.simplecast.com/episodes/revenue-positioning-growth-tudorgoicea-typingdna-e16-Rg9cS4zx Notes:

    1. Industries most interested during these times, and the ones taking a step back
    2. Road to product market fit
    3. Communicating with potential clients
    4. Sales & growth team profile
    ]]>     Accelerate Revenue, Positioning, and Growth, with Tudor Goicea | CRO @TypingDNA, E16 Tudor Goicea, Alexandra Petrus 00:22:32 Monetizing during coronavirus, what do potential clients want to hear in a ratio of technology, use-cases or process flows, and what should a typical sales & growth team look like for driving a technological or AI-driven product? This and more, as we virtually sit down and talk to Tudor Goicea from TypingDNA. Tudor is Chief Revenue Officer, heading sales, growth and strategic partnerships at TypingDNA, the business that provides proprietary AI based typing biometrics technology (a.k.a. keystroke dynamics) to identify users by the way they type on their keyboards. Tudor's previous experience is in venture capital and consulting. And you’re about to tap into a real conversation where actionable takeaways are available. Monetizing during coronavirus, what do potential clients want to hear in a ratio of technology, use-cases or process flows, and what should a typical sales & growth team look like for driving a technological or AI-driven product? This and more, as we virtually sit down and talk to Tudor Goicea from TypingDNA. Tudor is Chief Revenue Officer, heading sales, growth and strategic partnerships at TypingDNA, the business that provides proprietary AI based typing biometrics technology (a.k.a. keystroke dynamics) to identify users by the way they type on their keyboards. Tudor's previous experience is in venture capital and consulting. And you’re about to tap into a real conversation where actionable takeaways are available. positioning, keystroke dynamics, product-market fit, growth, tudor goicea, typingdna, revenue, typing biometrics, sales teams no full 16     120cbeea-21f0-46f8-8bf9-46da058c785d Reinforcement Learning, Intelligent vehicles & Acquiring Data, with Praveen Palanisamy - AI Engineer Microsoft AI + Research, E15 Notes:

    1. Deep Reinforcement Learning (DRL or DeepRL) applied to the automotive industry
    2. Simulation platforms and the role of simulators in training agents
    3. Obtaining data to prepare the autonomous vehicle
    4. Methods to evaluate robustness of the solution
    5. Deploying in real world
    6. Startups to use DL or be at the forefront of DL
    7. Techcrunch Disrupt Hackathon win & engineers at hackathons as a practice
    ]]>     Mon, 26 Oct 2020 12:42:52 +0000 alexandra.petrus1@gmail.com (Alexandra Petrus, Praveen Palanisamy) https://appliedaipod.simplecast.com/episodes/drl-intelligentvehicles-acquiringdata-praveenpalanisamy-e15-5iL2_RTd Notes:

    1. Deep Reinforcement Learning (DRL or DeepRL) applied to the automotive industry
    2. Simulation platforms and the role of simulators in training agents
    3. Obtaining data to prepare the autonomous vehicle
    4. Methods to evaluate robustness of the solution
    5. Deploying in real world
    6. Startups to use DL or be at the forefront of DL
    7. Techcrunch Disrupt Hackathon win & engineers at hackathons as a practice
    ]]>     Reinforcement Learning, Intelligent vehicles & Acquiring Data, with Praveen Palanisamy - AI Engineer Microsoft AI + Research, E15 Alexandra Petrus, Praveen Palanisamy 00:41:39 AI is here to solve real world and serious problems. In this episode we explore reinforcement learning applied to the automotive industry. We focus on autonomous systems and do a deep dive into data, challenges, methods to evaluate robustness of a solution, deploying into the real world and the role of simulators in training agents in this space. We're joined by Praveen Palanisamy, Senior AI Engineer in Autonomous Systems with Microsoft AI + Research. Praveen is working on developing the core end-to-end platform and services for real-world AI applications using Simulation, Reinforcement Learning and Machine Teaching. Prior to that, Praveen was an Autonomous Driving AI Researcher at General Motors R&D in Michigan, and he was also with the Robotics Institute, Carnegie Mellon University, where he worked on Autonomous Navigation, Perception and Artificial Intelligence Read more about Praveen's contributions in this space: https://praveenp.com/ AI is here to solve real world and serious problems. In this episode we explore reinforcement learning applied to the automotive industry. We focus on autonomous systems and do a deep dive into data, challenges, methods to evaluate robustness of a solution, deploying into the real world and the role of simulators in training agents in this space. We're joined by Praveen Palanisamy, Senior AI Engineer in Autonomous Systems with Microsoft AI + Research. Praveen is working on developing the core end-to-end platform and services for real-world AI applications using Simulation, Reinforcement Learning and Machine Teaching. Prior to that, Praveen was an Autonomous Driving AI Researcher at General Motors R&D in Michigan, and he was also with the Robotics Institute, Carnegie Mellon University, where he worked on Autonomous Navigation, Perception and Artificial Intelligence Read more about Praveen's contributions in this space: https://praveenp.com/ praveen palanisamy, deep learning, driving behaviour, simulation, autonomous driving, reinforcement learning, autonomous systems, acquiring data, deep reinforcement learning, intelligent vehicles, synthetic data, machine teaching no full 15     00abd1cc-a1d7-4226-9a23-c4dd69ce1379 #BeAI - Typing Biometrics, TypingDNA: hindsight CEO view with Raul Popa, E14 We discuss:

    • Can twins have identical typing patterns?
    • Advantages and opportunities offered from early beginnings in Oradea, Romania
    • Nailing a direction
    • The generalist role
    • Mixing behavioural biometrics with the AI technology
    ]]>     Tue, 29 Sep 2020 17:36:56 +0000 alexandra.petrus1@gmail.com (Raul Popa, Alexandra Petrus) https://appliedaipod.simplecast.com/episodes/beai-typing-biometrics-typingdna-hindsight-ceo-view-with-raul-popa-iVD_vpWa We discuss:

    • Can twins have identical typing patterns?
    • Advantages and opportunities offered from early beginnings in Oradea, Romania
    • Nailing a direction
    • The generalist role
    • Mixing behavioural biometrics with the AI technology
    ]]>     #BeAI - Typing Biometrics, TypingDNA: hindsight CEO view with Raul Popa, E14 Raul Popa, Alexandra Petrus 00:16:14 Going global from day 0, and now onto mature growth. This is TypingDNA. Part of the #BeAI Pre-Accelerator, I am in a lightning conversation with Raul Popa, CEO & CoFounder @TypingDNA - a revolutionary startup providing proprietary AI-based typing biometrics technology (a.k.a. keystroke dynamics) to identify users by the way they type on their keyboards. TypingDNA won multiple awards and was featured in top publications. As a tech innovator and a Techstars alumnus (NYC'18), Raul was invited to speak about topics including AI, Biometrics, Identity Access Management and entrepreneurship at global events such as TEDx, Applied Machine Learning Days, World Summit AI, International Biometrics Summit, Future of AI (at European Parliament) any many others. Prior to TypingDNA he co-founded other startups, helped launch several innovative software products and coded core software components used by millions of end users. Going global from day 0, and now onto mature growth. This is TypingDNA. Part of the #BeAI Pre-Accelerator, I am in a lightning conversation with Raul Popa, CEO & CoFounder @TypingDNA - a revolutionary startup providing proprietary AI-based typing biometrics technology (a.k.a. keystroke dynamics) to identify users by the way they type on their keyboards. TypingDNA won multiple awards and was featured in top publications. As a tech innovator and a Techstars alumnus (NYC'18), Raul was invited to speak about topics including AI, Biometrics, Identity Access Management and entrepreneurship at global events such as TEDx, Applied Machine Learning Days, World Summit AI, International Biometrics Summit, Future of AI (at European Parliament) any many others. Prior to TypingDNA he co-founded other startups, helped launch several innovative software products and coded core software components used by millions of end users. ai pre accelerator, raul popa, behavioural biometrics, keystroke dynamics, beai, ai, typing patterns, typingdna, typing biometrics no full 14     0bc9a3f9-f05a-4225-bbfb-785ef2aad50f #BeAI - AI Chatbots, Druid: Growth view with Raluca Tătărușanu, E13 We discuss:

    • Skills salespeople need, in the presence of AI products
    • Why Druid is relevant for the future
    • How hard is to find a way to monetize
    • Ownership of data and data responsabilities
    • AI is getting ready for business, are businesses ready for AI?

    Apply to the #BeAI Pre-Accelerator: https://bucharest.ai/community/beai-pre-accelerator/

    ]]>     Tue, 29 Sep 2020 17:35:15 +0000 alexandra.petrus1@gmail.com (Alexandra Petrus, Raluca Tătărușanu) https://appliedaipod.simplecast.com/episodes/beai-ai-chatbots-druid-growth-view-with-raluca-tatarusanu-90l2uSaJ We discuss:

    • Skills salespeople need, in the presence of AI products
    • Why Druid is relevant for the future
    • How hard is to find a way to monetize
    • Ownership of data and data responsabilities
    • AI is getting ready for business, are businesses ready for AI?

    Apply to the #BeAI Pre-Accelerator: https://bucharest.ai/community/beai-pre-accelerator/

    ]]>     #BeAI - AI Chatbots, Druid: Growth view with Raluca Tătărușanu, E13 Alexandra Petrus, Raluca Tătărușanu 00:16:50 Local going global, and now in early-stage growth. This is Druid. Part of the #BeAI Pre-Accelerator, I am in a lightning conversation with Raluca Tătărușanu, Sales Director @Druid - AI-powered chatbot authoring platform that allows citizen developers to design, develop and deploy natural interactions between employees, customers, partners and enterprise systems, through omnichannel text and voice conversations. With a background in Sales and Marketing, Raluca is bringing her expertise in the IT field and will be sharing her AI Sales (growth, revenue and positioning) findings with the teams part of the #BeAI, the AI PreAccelerator organised by Bucharest AI. Local going global, and now in early-stage growth. This is Druid. Part of the #BeAI Pre-Accelerator, I am in a lightning conversation with Raluca Tătărușanu, Sales Director @Druid - AI-powered chatbot authoring platform that allows citizen developers to design, develop and deploy natural interactions between employees, customers, partners and enterprise systems, through omnichannel text and voice conversations. With a background in Sales and Marketing, Raluca is bringing her expertise in the IT field and will be sharing her AI Sales (growth, revenue and positioning) findings with the teams part of the #BeAI, the AI PreAccelerator organised by Bucharest AI. monetization, ai for business, druid, data ownership, raluca tatarusanu, ai chatbots, ai sales no full 13     4c8912a4-8d6c-4908-a5b9-311ae53cddf0 #BeAI - RPA Decacorn, UiPath: Policy & Regulations view with Margareta Chesaru, E12 We discuss:

    • RPA's impact across cultures
    • UiPath's agriculture sector use-case
    • How can AI help the public and private sector
    • Digital capacity brought by the RPA technology use
    • EU-level support for startups and bureaucracy

    Read more on the main challenges and opportunities needed on the policy side to encourage adoption of AI across economies, in the Emerging Europe article Margareta recently published: https://emerging-europe.com/voices/the-rise-of-ai-and-ai-policies/

    Apply to the #BeAI Pre-Accelerator: https://bucharest.ai/community/beai-pre-accelerator/

    ]]>     Tue, 29 Sep 2020 17:34:01 +0000 alexandra.petrus1@gmail.com (Margareta Chesaru, Alexandra Petrus) https://appliedaipod.simplecast.com/episodes/beai-rpa-decacorn-policy-regulations-view-4MAmbaFn We discuss:

    • RPA's impact across cultures
    • UiPath's agriculture sector use-case
    • How can AI help the public and private sector
    • Digital capacity brought by the RPA technology use
    • EU-level support for startups and bureaucracy

    Read more on the main challenges and opportunities needed on the policy side to encourage adoption of AI across economies, in the Emerging Europe article Margareta recently published: https://emerging-europe.com/voices/the-rise-of-ai-and-ai-policies/

    Apply to the #BeAI Pre-Accelerator: https://bucharest.ai/community/beai-pre-accelerator/

    ]]>     #BeAI - RPA Decacorn, UiPath: Policy & Regulations view with Margareta Chesaru, E12 Margareta Chesaru, Alexandra Petrus 00:16:04 Going global from day 0, and now turned decacorn. This is UiPath. Part of the #BeAI Pre-Accelerator, I am in a lightning conversation with Margareta Chesaru, Public Affairs Manager @UiPath - leading Robotic Process Automation vendor providing a complete software platform to help organizations efficiently automate business processes. Margareta has an extensive background in public policy, legal and regulatory affairs. With a passion for untangling legislation and achieving social impact, in her current role, she is dedicated to put her energy and know-how into understanding how new technologies will impact our lives and to find solutions for addressing today’s educational and moral challenges. Going global from day 0, and now turned decacorn. This is UiPath. Part of the #BeAI Pre-Accelerator, I am in a lightning conversation with Margareta Chesaru, Public Affairs Manager @UiPath - leading Robotic Process Automation vendor providing a complete software platform to help organizations efficiently automate business processes. Margareta has an extensive background in public policy, legal and regulatory affairs. With a passion for untangling legislation and achieving social impact, in her current role, she is dedicated to put her energy and know-how into understanding how new technologies will impact our lives and to find solutions for addressing today’s educational and moral challenges. eu ai policies, rpa, ai policy, ai, decacorn, uipath, preaccelerator, margareta chesaru, ai regulations no full 12     2e5aa712-1c35-46b1-b35e-505acd6f263a AGI, ethical and epistemological challenges, Ep. 11
  • Difference between AI and AGI. - 1:00
  • What will AGI solve. - 4:30
  • Problems with AI-research and how to fix them. - 8:35
  • Progress with truly intelligent machines, the evolution of creativity. - 14:10 
  • Why aren't animals intelligent or conscious? - 17:45
    • reference to Lex Fridman & Roger Penrose podcast #85: Physics of Consciousness and the Infinite Universe
  • How does evolution work and why does it matter for AGI? - 22:00 
    • reference to Karl Popper's philosophy
  • How did people evolve from non-creative ancestors?- 27:20
  • What is consciousness and what gives rise to it? -31:50

    •  

    ]]>     Mon, 24 Aug 2020 10:53:53 +0000 alexandra.petrus1@gmail.com (Dennis Hackethal, Alexandra Petrus) https://appliedaipod.simplecast.com/episodes/agi-ethical-and-epistemological-challenges-znAg0vIT
  • Difference between AI and AGI. - 1:00
  • What will AGI solve. - 4:30
  • Problems with AI-research and how to fix them. - 8:35
  • Progress with truly intelligent machines, the evolution of creativity. - 14:10 
  • Why aren't animals intelligent or conscious? - 17:45
    • reference to Lex Fridman & Roger Penrose podcast #85: Physics of Consciousness and the Infinite Universe
  • How does evolution work and why does it matter for AGI? - 22:00 
    • reference to Karl Popper's philosophy
  • How did people evolve from non-creative ancestors?- 27:20
  • What is consciousness and what gives rise to it? -31:50

    •  

    ]]>     AGI, ethical and epistemological challenges, Ep. 11 Dennis Hackethal, Alexandra Petrus 00:35:23 Space exploration, Artificial General Intelligence (AGI), why are not animals intelligent or conscious and what are some problems with AI-research? These are the kinds of questions for the former Apple software engineer, intelligence researcher, and host of the podcast Artificial Creativity, Dennis Hackethal. This conversation really provokes our comfort zone. We discuss the ethical and epistemological challenges that science and humanity face as we continue to build more intelligence into non-biological objects around us. Links references: Dennis's book - 'A Window on Intelligence': https://www.windowonintelligence.com Dennis's podcast - "Artificial Creativity": https://soundcloud.com/dchacke Space exploration, Artificial General Intelligence (AGI), why are not animals intelligent or conscious and what are some problems with AI-research? These are the kinds of questions for the former Apple software engineer, intelligence researcher, and host of the podcast Artificial Creativity, Dennis Hackethal. This conversation really provokes our comfort zone. We discuss the ethical and epistemological challenges that science and humanity face as we continue to build more intelligence into non-biological objects around us. Links references: Dennis's book - 'A Window on Intelligence': https://www.windowonintelligence.com Dennis's podcast - "Artificial Creativity": https://soundcloud.com/dchacke consciousness, artificial general intelligence, creativity, ai research, intelligence, genetic adaptations, agi, ethical ai no full 11     008b1900-7456-4373-bcb6-78ac0d432fb0 AutoDrive, AI Ethics, Religion & AGI, with a Transylvanian Research Scientist, Ep. 10
  • Self-driving cars and the setup of an Auto-Drive project for a Dacia without technology built-in - a cost effective positioned car
  • The use and role of Simulation data and techniques
  • Vatican joining tech companies to build ethical AI
  • Religion and tech (AI)
  • AI Ethics
  • Can AI be an Inventor? Can AI fill for patents?
  • Exploring potential new applications of AI in real-world consumption
  • Artificial General Intelligence algorithms exploration
    • ]]>     Fri, 26 Jun 2020 10:01:20 +0000 alexandra.petrus1@gmail.com (Alexandra Petrus, Alexandru Sorici) https://appliedaipod.simplecast.com/episodes/auto-drive-ai-ethics-transylvanian-research-scientist-frUuofgH
  • Self-driving cars and the setup of an Auto-Drive project for a Dacia without technology built-in - a cost effective positioned car
  • The use and role of Simulation data and techniques
  • Vatican joining tech companies to build ethical AI
  • Religion and tech (AI)
  • AI Ethics
  • Can AI be an Inventor? Can AI fill for patents?
  • Exploring potential new applications of AI in real-world consumption
  • Artificial General Intelligence algorithms exploration
    • ]]>     AutoDrive, AI Ethics, Religion & AGI, with a Transylvanian Research Scientist, Ep. 10 Alexandra Petrus, Alexandru Sorici 00:49:47 Let’s get into an open and real conversation with Alexandru Sorici - Scientific Researcher born in Transylvania, Member of the Romanian Association for Artificial Intelligence (ARIA), Associate Professor at Politehnica University of Bucharest, Romania. His focus is towards research, teaching and something new/fresh for you, singing, singing in a church choir. How cool is that! Let’s find out more. Let’s get into an open and real conversation with Alexandru Sorici - Scientific Researcher born in Transylvania, Member of the Romanian Association for Artificial Intelligence (ARIA), Associate Professor at Politehnica University of Bucharest, Romania. His focus is towards research, teaching and something new/fresh for you, singing, singing in a church choir. How cool is that! Let’s find out more. ai ethics, vatican, ai patents, self-driving cars, auto-drive, ai inventor, ethical ai no full 10     b5a2073d-d997-441e-b6e8-fbe6f128c1e5 CodvidHack Challenge, a Hackathon for Covid-19 Pandemic Solutions - The AI View, Ep. 9 ✓ Solutions of the teams mentored

    ✓ Technology focus

    ✓ Role of ML and DL during the pandemic

    ✓ Sourcing datasets

    ✓ Adversarial attacks in PoCs

    *Kiril's reference in the conversation, for the Secure and Explainable Machine Learning library, is for Battista Biggio & his work in the Security field for ML: https://arxiv.org/abs/1912.10013

    ]]>     Mon, 11 May 2020 12:59:08 +0000 alexandra.petrus1@gmail.com (Alexandra Petrus, Mozhgan Bayat, Kiril Ralinovski) https://appliedaipod.simplecast.com/episodes/codvidhack-pandemic-solutions-ai-view-_7fCB7l6 ✓ Solutions of the teams mentored

    ✓ Technology focus

    ✓ Role of ML and DL during the pandemic

    ✓ Sourcing datasets

    ✓ Adversarial attacks in PoCs

    *Kiril's reference in the conversation, for the Secure and Explainable Machine Learning library, is for Battista Biggio & his work in the Security field for ML: https://arxiv.org/abs/1912.10013

    ]]>     CodvidHack Challenge, a Hackathon for Covid-19 Pandemic Solutions - The AI View, Ep. 9 Alexandra Petrus, Mozhgan Bayat, Kiril Ralinovski 00:16:11 A lightning chat with Mozhgan Bayat - Research Scientist focused on Machine Learning & Deep Learning, and Kiril Ralinovski - Team Lead Data Science and Google Developer Expert for ML, both AI mentors during the CodvidHack Challenge hackathon organized by The Informal School of IT, BCR and Google. A lightning chat with Mozhgan Bayat - Research Scientist focused on Machine Learning & Deep Learning, and Kiril Ralinovski - Team Lead Data Science and Google Developer Expert for ML, both AI mentors during the CodvidHack Challenge hackathon organized by The Informal School of IT, BCR and Google. datasets, ai solutions pandemic, dl, ml, adversarial attachs no full 9     e91101a4-6ab3-48c2-bd10-430fe4309750 AI patents, Emotion Recognition, Affectiva, and Girl Decoded w/ Dr Rana el Kaliouby, Ep. 8 Topics we discuss today:

    ✓ AI patents

    ✓ Emotion Recognition

    ✓ Affectiva’s 9M face videos global data set

    ✓ How this period of social distancing may account for an extra stress ‘bias’ in dealing with human emotions, and

    ✓ Girl Decoded - Rana’s recent book, on her remarkable life story in understanding this new technological frontier: machines with emotional intelligence

    ]]>     Mon, 27 Apr 2020 13:26:18 +0000 alexandra.petrus1@gmail.com (Rana el Kaliouby, Alexandra Petrus) https://appliedaipod.simplecast.com/episodes/aipatents-emotionrecognition-affectiva-girldecoded-rana-el-kaliouby-ep-8-g1lEQoYg Topics we discuss today:

    ✓ AI patents

    ✓ Emotion Recognition

    ✓ Affectiva’s 9M face videos global data set

    ✓ How this period of social distancing may account for an extra stress ‘bias’ in dealing with human emotions, and

    ✓ Girl Decoded - Rana’s recent book, on her remarkable life story in understanding this new technological frontier: machines with emotional intelligence

    ]]>     AI patents, Emotion Recognition, Affectiva, and Girl Decoded w/ Dr Rana el Kaliouby, Ep. 8 Rana el Kaliouby, Alexandra Petrus 00:39:57 We're joined by AI thought leader, ML Scientist, Co-founder and CEO Affectiva, an MIT spin-off, author of ‘Girl Decoded’ book - Dr Rana el Kaliouby. Disrupting industries and humanizing technology with Emotion AI sounds profoundly humane. We're joined by AI thought leader, ML Scientist, Co-founder and CEO Affectiva, an MIT spin-off, author of ‘Girl Decoded’ book - Dr Rana el Kaliouby. Disrupting industries and humanizing technology with Emotion AI sounds profoundly humane. affectiva, ai patents, eye tracking, emotion ai, girl decoded, rana el kaliouby no full 8     a82357ac-845a-4098-92b0-e20faf832345 Deep Learning, NLP & AI Engineers w/ Pujaa Rajan, Ep. 7 You will find about:

    ✓ Contribution to covid19 datasets

    ✓ How can machines make meaning out of language

    ✓ Some metrics used to test an NLP model

    ✓ Deep Learning’s popularity

    ✓ Balancing quantity vs quality

    ✓ Relevant traits of people working in AI

    ✓ The next game or thing to beat a human at

    ]]>     Mon, 13 Apr 2020 15:55:36 +0000 alexandra.petrus1@gmail.com (Pujaa Rajan, Alexandra Petrus) https://appliedaipod.simplecast.com/episodes/deep-learning-nlp-ai-engineers-pujaa-rajan-ep7-75HsX4en You will find about:

    ✓ Contribution to covid19 datasets

    ✓ How can machines make meaning out of language

    ✓ Some metrics used to test an NLP model

    ✓ Deep Learning’s popularity

    ✓ Balancing quantity vs quality

    ✓ Relevant traits of people working in AI

    ✓ The next game or thing to beat a human at

    ]]>     Deep Learning, NLP & AI Engineers w/ Pujaa Rajan, Ep. 7 Pujaa Rajan, Alexandra Petrus 00:26:56 In a conversation with a Deep Learning Engineer herself for: covid19, NLP metrics, DL’s popularity and balancing quantity over quality. Tune in to check the next thing to beat a human at.:) & Find Pujaa, Deep Learning Engineer @nodeio & Women in AI USA Ambassador/SF Founder, at pujaarajan.com & check out her latest covid19 volunteer work for covidnearyou.org. As many AI researchers have stopped their regular work to contribute their skills, special kudos to Pujaa for doing just that too. In a conversation with a Deep Learning Engineer herself for: covid19, NLP metrics, DL’s popularity and balancing quantity over quality. Tune in to check the next thing to beat a human at.:) & Find Pujaa, Deep Learning Engineer @nodeio & Women in AI USA Ambassador/SF Founder, at pujaarajan.com & check out her latest covid19 volunteer work for covidnearyou.org. As many AI researchers have stopped their regular work to contribute their skills, special kudos to Pujaa for doing just that too. deep learning, ai engineers, covid19, covidnearyou.org, nlp no full 7     1a44613a-a1f1-4a6f-9001-a399751019fc AI for Business, Articulate an AI project, Ep. 6 Alexandra Petrus does a deep-dive into connecting the dots between data, AI, and creating value for your business.

    You will be exposed to:

    ✓ How to use the 7 factors in the AI Canvas to gain clarity

    ✓ Learn about the 4 layers of an AI-first company

    ✓ Useful criteria to apply when selecting an AI project

    ✓ The 3 types of diligence that precede an AI business project

    ✓ How to strategically set up your first AI project

    ]]>     Mon, 23 Mar 2020 17:27:42 +0000 alexandra.petrus1@gmail.com (Alexandra Petrus, Ciprian Borodescu) https://appliedaipod.simplecast.com/episodes/ai-for-business-articulate-an-ai-project-ep-6-57c8qOGo Alexandra Petrus does a deep-dive into connecting the dots between data, AI, and creating value for your business.

    You will be exposed to:

    ✓ How to use the 7 factors in the AI Canvas to gain clarity

    ✓ Learn about the 4 layers of an AI-first company

    ✓ Useful criteria to apply when selecting an AI project

    ✓ The 3 types of diligence that precede an AI business project

    ✓ How to strategically set up your first AI project

    ]]>     AI for Business, Articulate an AI project, Ep. 6 Alexandra Petrus, Ciprian Borodescu 00:47:19 From AI terminology to a showcase of established ML and data science project workflows, Alexandra guides decision-makers to discover the essential criteria to use when building a top level view of your AI project. Join Ciprian Borodescu, CEO of MorphL - AI platform for Ecommerce Growth, as he jumps onboard with Alexandra for a webinar session and an open talk on AI challenges. Explore practical examples of how the Machine Learning Canvas, the ICE Scoring Method, and other key questions and facts come together to help you make progress with AI adoption. This podcast was originally a webinar session powered by MorphL - the AI platform for Ecommerce Growth. From AI terminology to a showcase of established ML and data science project workflows, Alexandra guides decision-makers to discover the essential criteria to use when building a top level view of your AI project. Join Ciprian Borodescu, CEO of MorphL - AI platform for Ecommerce Growth, as he jumps onboard with Alexandra for a webinar session and an open talk on AI challenges. Explore practical examples of how the Machine Learning Canvas, the ICE Scoring Method, and other key questions and facts come together to help you make progress with AI adoption. This podcast was originally a webinar session powered by MorphL - the AI platform for Ecommerce Growth. ai for business, machine learning canvas, ai adoption, ai projects selection, ai canvas, ai terminology no full 6     ad123aa6-a125-46d8-b3ee-1cb78a5706da Psychology of AI - Philosophers Turn, Ep.5 Can psychology tell you if something is right or wrong? How do we not lose control trusting providers and trusting technology? Let’s find out! This podcast was originally developed for Daimler Mobility Worldwide. It is used for an internal digital Learning platfrom developed by the Innovation, IT and HR Department. The main goal is to gain a basic understanding of digital transformation and to develop new leadership skills. Tune in and let’s walk together as the tone of the conversation moves from fear to trust with obvious examples from the real world.

    ]]>     Thu, 27 Feb 2020 08:25:35 +0000 alexandra.petrus1@gmail.com (Megan Welle, Marisa Tschopp) https://appliedaipod.simplecast.com/episodes/psychology-of-ai-philosophers-turn-ep5-LxPGAfqp Can psychology tell you if something is right or wrong? How do we not lose control trusting providers and trusting technology? Let’s find out! This podcast was originally developed for Daimler Mobility Worldwide. It is used for an internal digital Learning platfrom developed by the Innovation, IT and HR Department. The main goal is to gain a basic understanding of digital transformation and to develop new leadership skills. Tune in and let’s walk together as the tone of the conversation moves from fear to trust with obvious examples from the real world.

    ]]>     Psychology of AI - Philosophers Turn, Ep.5 Megan Welle, Marisa Tschopp 00:23:15 Psychological and philosophical aspects of Artificial Intelligence. I/O psychologist Marisa Tschopp & Researcher at Scip AG, and the philosopher Megan Welle, both members of the global NGO Women in AI, are discussing the ethical challenges of artificial intelligence on a personal and societal level. Psychological and philosophical aspects of Artificial Intelligence. I/O psychologist Marisa Tschopp & Researcher at Scip AG, and the philosopher Megan Welle, both members of the global NGO Women in AI, are discussing the ethical challenges of artificial intelligence on a personal and societal level. ai ethics, women in ai, ai psychology, trusting technology, ai philosophy no full 5     5ed8da5b-116c-44b0-a561-e1ff7b363b23 Championing AI Product Management, Ep. 4 Mon, 17 Feb 2020 11:40:37 +0000 alexandra.petrus1@gmail.com (Alexandra Petrus, Adnan Boz) https://appliedaipod.simplecast.com/episodes/championing-ai-product-management-r9_G_4Oe Championing AI Product Management, Ep. 4 Alexandra Petrus, Adnan Boz 00:35:11 There are around 13 millions product managers globally. And alone 5 millions in the US. As AI shifts to a general purpose technology, so will product managers. How do you handle failure when an AI model gets its prediction incorrect? How can PMs use AI as a tactic to solve problems? These are questions we ask an AI Product Manager. We talk solid data, model and problem understanding with Adnan Boz. Adnan is founder of the AI Product Institute in Silicon Valley, a Sr. Manager, AV AI Products @ NVIDIA, ex lead AI Product Manager @ebay, ex Yahoo! PM, as well as Entrepreneur. There are around 13 millions product managers globally. And alone 5 millions in the US. As AI shifts to a general purpose technology, so will product managers. How do you handle failure when an AI model gets its prediction incorrect? How can PMs use AI as a tactic to solve problems? These are questions we ask an AI Product Manager. We talk solid data, model and problem understanding with Adnan Boz. Adnan is founder of the AI Product Institute in Silicon Valley, a Sr. Manager, AV AI Products @ NVIDIA, ex lead AI Product Manager @ebay, ex Yahoo! PM, as well as Entrepreneur. ai pm, ai problem understanding, ai product management, ai product manager no full 4 80f36383-230c-4c12-9d9c-63cdb93c3b45 AI for Good through Collaboration, Ep. 3 Mon, 10 Feb 2020 08:52:34 +0000 alexandra.petrus1@gmail.com (Alexandra Petrus, Rudradeb Mitra) https://appliedaipod.simplecast.com/episodes/ai-for-good-through-collaboration-ep-3-PBzibFwV AI for Good through Collaboration, Ep. 3 Alexandra Petrus, Rudradeb Mitra 00:43:34 In an inspiring talk, Rudradeb Mitra, founder of Omdena - global platform to build AI-based solutions to humanity's toughest problems - shares from the social problems worked on, his view of life and what his next book will be about. Omdena is also an Innovation Partner of the United Nations AI for Good Global Summit 2020, with over 700 AI enthusiasts (AI experts, engaged citizens, and aspiring data scientists from diverse backgrounds), from 70 countries that come together to solve social problems like hunger, PTSD, sexual harassment, gang violence, wildfire prevention and energy poverty. In an inspiring talk, Rudradeb Mitra, founder of Omdena - global platform to build AI-based solutions to humanity's toughest problems - shares from the social problems worked on, his view of life and what his next book will be about. Omdena is also an Innovation Partner of the United Nations AI for Good Global Summit 2020, with over 700 AI enthusiasts (AI experts, engaged citizens, and aspiring data scientists from diverse backgrounds), from 70 countries that come together to solve social problems like hunger, PTSD, sexual harassment, gang violence, wildfire prevention and energy poverty. ai for good, collaborative ai, omdena, artificial intelligence for good, social problems through ai no full 3 Buzzsprout-2638378 Ethical Tech Design for AI, Ep. 2 Data collection, privacy and ownership, unbiased train data and auditing algos. Ethics ties in everywhere and that’s why it’s always a good investment to make. In a lightning talk, Elizabeth M. Adams, a Race and Technology Stanford University Fellow and IEEE P70XX Series on AI Ethics board fellow, shares her views on ethical tech design.

    ]]>     Sun, 2 Feb 2020 18:00:00 +0000 alexandra.petrus1@gmail.com (Alexandra Petrus / Elizabeth M. Adams) https://appliedaipod.simplecast.com/episodes/ethical-tech-design-for-ai-ep-2-grGiGc_K Data collection, privacy and ownership, unbiased train data and auditing algos. Ethics ties in everywhere and that’s why it’s always a good investment to make. In a lightning talk, Elizabeth M. Adams, a Race and Technology Stanford University Fellow and IEEE P70XX Series on AI Ethics board fellow, shares her views on ethical tech design.

    ]]>     Ethical Tech Design for AI, Ep. 2 Alexandra Petrus / Elizabeth M. Adams 00:13:04 Data collection, privacy and ownership, unbiased train data and auditing algos. Ethics ties in everywhere and that’s why it’s always a good investment to make. In a lightning talk, Elizabeth M. Adams, a Race and Technology Stanford University Fellow and IEEE P70XX Series on AI Ethics board fellow, shares her views on ethical tech design. Data collection, privacy and ownership, unbiased train data and auditing algos. Ethics ties in everywhere and that’s why it’s always a good investment to make. In a lightning talk, Elizabeth M. Adams, a Race and Technology Stanford University Fellow and IEEE P70XX Series on AI Ethics board fellow, shares her views on ethical tech design. ai ethics, ethical tech design, ai no full 2     Buzzsprout-2469821 Human-in-the-Loop ML to Tackle Cyberbullying, Ep.1 Online abuse is a rapidly growing problem. Using AI for social benefit is an opportunity to provide access to justice to all social media users who have been cyberbullied, harassed or otherwise offended online. Eikku Koponen is the AI Lead of SomeBuddy, a Finish startup using technology to enable access to justice for all social media users. We talk about Finland, Human-in-the-Loop ML models and cyberbullying.

    ]]>     Mon, 13 Jan 2020 08:00:00 +0000 alexandra.petrus1@gmail.com (Alexandra Petrus / Eikku Koponen) https://appliedaipod.simplecast.com/episodes/human-in-the-loop-ml-to-tackle-cyberbullying-ep-1-637n_prA Online abuse is a rapidly growing problem. Using AI for social benefit is an opportunity to provide access to justice to all social media users who have been cyberbullied, harassed or otherwise offended online. Eikku Koponen is the AI Lead of SomeBuddy, a Finish startup using technology to enable access to justice for all social media users. We talk about Finland, Human-in-the-Loop ML models and cyberbullying.

    ]]>     Human-in-the-Loop ML to Tackle Cyberbullying, Ep.1 Alexandra Petrus / Eikku Koponen 00:42:46 Online abuse is a rapidly growing problem. Using AI for social benefit is an opportunity to provide access to justice to all social media users who have been cyberbullied, harassed or otherwise offended online. Eikku Koponen is the AI Lead of SomeBuddy, a Finish startup using technology to enable access to justice for all social media users. We talk about Finland, Human-in-the-Loop ML models and cyberbullying. Online abuse is a rapidly growing problem. Using AI for social benefit is an opportunity to provide access to justice to all social media users who have been cyberbullied, harassed or otherwise offended online. Eikku Koponen is the AI Lead of SomeBuddy, a Finish startup using technology to enable access to justice for all social media users. We talk about Finland, Human-in-the-Loop ML models and cyberbullying. online harassment, cyberbullying, ai, nlu, human-in-the-loop ml, ml models, nlp no full 1