This is my latest "Sizzle Reel", showcasing highlights of work I've done communicating data science, machine learning and AI on television and stage. And, hello! My name's Jon Krohn. The videos I make for YouTube are often hands-on demos (in Python) on the latest AI approaches and on how the math works under the hood. In addition: • CEO and co-founder of Y Carrot, a software company that specializes in designing and implementing AI systems for enterprises. • Fellow of ML Practice at Lightning AI. • Host of SuperDataScience, the data science industry’s most listened-to podcast. • Wrote the book Deep Learning Illustrated, an instant #1 bestseller that was translated into seven languages. • Supervise doctoral research in AI robotics at the University of Auckland. • Lecture at leading universities (Columbia, NYU), keynote at top global conferences (Web Summit, Collision) and present content on CBS PrimeTime News and Bloomberg TV that’s viewed by millions. • Hold a PhD from Oxford and have been publishing on machine learning in prominent academic journals since 2010. Reach out to my agent Dylan Silverstein on dsilverstein@agi-entertainment.com to discuss projects. I'd love to be involved! To learn more about engaging me as a keynote speaker, you can get more info here: wwsg.com/speakers/jon-krohn/

Jon Krohn, co-founder and CEO of AI consultancy Y Carrot, joins CBS News 24/7 to weigh in on Senator Bernie Sanders' proposal for public ownership of AI - an idea gaining traction with no historical precedent Jon is aware of. He argues the biggest issue is risk: stock markets are where individual investors knowingly take chances, but if the public at large holds a stake in AI companies and an IPO like OpenAI's underperforms, it's the public left holding the bag.

Jon Krohn, co-founder and CEO of AI consultancy Y Carrot, joins CBS News 24/7 to explain why OpenAI, Anthropic, and SpaceX are all racing to go public at the same time. He breaks down the enormous capital these companies need to buy chips and build AI data centers - OpenAI alone serves 900 million weekly users - and why AI bubble concerns make today's valuations worth locking in. He also reveals how the head-to-head race between OpenAI and Anthropic to reach the market first could shape investor perception.

Last night, I was on CBS PrimeTime News to discuss OpenAI's upcoming IPO, as well as Senator Bernie Sanders' plans for an A.I. sovereign wealth fund... an idea I thought could be "awkward". Jon Krohn is co-founder and CEO of Y Carrot, a software firm that specializes in designing and implementing agentic AI systems for enterprises. He also serves as ML Practice Fellow at Lightning AI and is the host of SuperDataScience, the data science industry’s most listened-to podcast. He wrote the book Deep Learning Illustrated, an instant #1 bestseller that was translated into seven languages. He lectures at leading universities (Columbia, NYU), keynotes at top global conferences (Web Summit, Collision) and presents content on Bloomberg TV that’s viewed by millions. Jon holds a PhD from Oxford and has been publishing on machine learning in prominent academic journals since 2010.

In this video, captured live at Web Summit Vancouver in May 2026, Jon Krohn details how rapidly knowledge work is transforming as a result of AI agents and he provides clear, actionable tips on how to thrive in this era. Specifically, he discusses: • The exponential speed at which A.I. is progressing on coding, machine learning and many other knowledge-worker task categories. • How that progress is, in recent months, being led by agentic A.I. frameworks. • What exactly agentic A.I. is. • How individuals and organizations can flourish in the agentic era. • How to develop and deploy A.I. projects that will provide a positive return on investment (ROI). Jon Krohn is co-founder and CEO of Y Carrot, a software firm that specializes in designing and implementing agentic AI systems for enterprises. He also serves as ML Practice Fellow at Lightning AI and is the host of SuperDataScience, the data science industry’s most listened-to podcast. He wrote the book Deep Learning Illustrated, an instant #1 bestseller that was translated into seven languages. He lectures at leading universities (Columbia, NYU), keynotes at top global conferences (Web Summit, Collision) and presents content on Bloomberg TV that’s viewed by millions. Jon holds a PhD from Oxford and has been publishing on machine learning in prominent academic journals since 2010. The full 4-hour training on agentic AI mentioned at the end of the video is available here: youtu.be/LSk5KaEGVk4

In this quick video, Jon Krohn disambiguates the two types of agentic systems: workflows and agents proper. This clip is taken from a four-hour introduction to Agentic AI Engineering by Jon Krohn and Ed Donner that is available on YouTube here: https://www.youtube.com/watch?v=LSk5KaEGVk4 Jon Krohn is co-founder and CEO of Y Carrot, a software firm that specializes in designing and implementing agentic AI systems for enterprises. He also serves as ML Practice Fellow at Lightning AI and is the host of SuperDataScience, the data science industry’s most listened-to podcast. He wrote the book Deep Learning Illustrated, an instant #1 bestseller that was translated into seven languages. He lectures at leading universities (Columbia, NYU), keynotes at top global conferences (Web Summit, Collision) and presents content on Bloomberg TV that’s viewed by millions. Jon holds a PhD from Oxford and has been publishing on machine learning in prominent academic journals since 2010. Ed Donner is renowned for his teaching on LLMs and agentic AI via O'Reilly and Udemy. He’s the co-founder and CTO of Nebula.io, the platform that uses generative AI and other forms of machine learning to source, understand, engage and manage talent. Previously, Ed was the founder and CEO of AI startup untapt, an Accenture Fintech Innovation Lab company that was acquired in 2020. Before that, Ed was a Managing Director at JPMorgan Chase, leading a team of 300 software engineers in Risk Technology across three continents, the culmination of a 15-year technology career on Wall Street. Ed holds a patent for a deep learning matching engine issued in 2023 and a master's in physics from Oxford. This high-quality footage was shot live during a packed house at the Open Data Science Conference (ODSC) East in Boston on May 14th, 2025. The director of photography was Lucie McCormick and media editor was Mario Pombo.

In this quick video, Jon Krohn provides half a dozen examples of real-world use cases of agentic AI. This clip is taken from a four-hour introduction to Agentic AI Engineering by Jon Krohn and Ed Donner that is available on YouTube here: https://youtu.be/LSk5KaEGVk4 Jon Krohn is co-founder and CEO of Y Carrot, a software firm that specializes in designing and implementing agentic AI systems for enterprises. He also serves as ML Practice Fellow at Lightning AI and is the host of SuperDataScience, the data science industry’s most listened-to podcast. He wrote the book Deep Learning Illustrated, an instant #1 bestseller that was translated into seven languages. He lectures at leading universities (Columbia, NYU), keynotes at top global conferences (Web Summit, Collision) and presents content on Bloomberg TV that’s viewed by millions. Jon holds a PhD from Oxford and has been publishing on machine learning in prominent academic journals since 2010. Ed Donner is renowned for his teaching on LLMs and agentic AI via O'Reilly and Udemy. He’s the co-founder and CTO of Nebula.io, the platform that uses generative AI and other forms of machine learning to source, understand, engage and manage talent. Previously, Ed was the founder and CEO of AI startup untapt, an Accenture Fintech Innovation Lab company that was acquired in 2020. Before that, Ed was a Managing Director at JPMorgan Chase, leading a team of 300 software engineers in Risk Technology across three continents, the culmination of a 15-year technology career on Wall Street. Ed holds a patent for a deep learning matching engine issued in 2023 and a master's in physics from Oxford. This high-quality footage was shot live during a packed house at the Open Data Science Conference (ODSC) East in Boston on May 14th, 2025. The director of photography was Lucie McCormick and media editor was Mario Pombo.

In this video, Jon Krohn uses data, charts and a 10-item enumerated list to lay out why now is the best time to develop and deploy AI agents. This clip is taken from a four-hour introduction to Agentic AI Engineering by Jon Krohn and Ed Donner that is available on YouTube here: youtu.be/LSk5KaEGVk4 Jon Krohn is co-founder and CEO of Y Carrot, a software firm that specializes in designing and implementing agentic AI systems for enterprises. He also serves as ML Practice Fellow at Lightning AI and is the host of SuperDataScience, the data science industry’s most listened-to podcast. He wrote the book Deep Learning Illustrated, an instant #1 bestseller that was translated into seven languages. He lectures at leading universities (Columbia, NYU), keynotes at top global conferences (Web Summit, Collision) and presents content on Bloomberg TV that’s viewed by millions. Jon holds a PhD from Oxford and has been publishing on machine learning in prominent academic journals since 2010. Ed Donner is renowned for his teaching on LLMs and agentic AI via O'Reilly and Udemy. He’s the co-founder and CTO of Nebula.io, the platform that uses generative AI and other forms of machine learning to source, understand, engage and manage talent. Previously, Ed was the founder and CEO of AI startup untapt, an Accenture Fintech Innovation Lab company that was acquired in 2020. Before that, Ed was a Managing Director at JPMorgan Chase, leading a team of 300 software engineers in Risk Technology across three continents, the culmination of a 15-year technology career on Wall Street. Ed holds a patent for a deep learning matching engine issued in 2023 and a master's in physics from Oxford. This high-quality footage was shot live during a packed house at the Open Data Science Conference (ODSC) East in Boston on May 14th, 2025. The director of photography was Lucie McCormick and media editor was Mario Pombo.

In this quick video, Jon Krohn defines what "agentic AI" is. This clip is taken from a four-hour introduction to Agentic AI Engineering by Jon Krohn and Ed Donner that is available on YouTube here: https://youtu.be/LSk5KaEGVk4 Jon Krohn is co-founder and CEO of Y Carrot, a software firm that specializes in designing and implementing agentic AI systems for enterprises. He also serves as ML Practice Fellow at Lightning AI and is the host of SuperDataScience, the data science industry’s most listened-to podcast. He wrote the book Deep Learning Illustrated, an instant #1 bestseller that was translated into seven languages. He lectures at leading universities (Columbia, NYU), keynotes at top global conferences (Web Summit, Collision) and presents content on Bloomberg TV that’s viewed by millions. Jon holds a PhD from Oxford and has been publishing on machine learning in prominent academic journals since 2010. Ed Donner is renowned for his teaching on LLMs and agentic AI via O'Reilly and Udemy. He’s the co-founder and CTO of Nebula.io, the platform that uses generative AI and other forms of machine learning to source, understand, engage and manage talent. Previously, Ed was the founder and CEO of AI startup untapt, an Accenture Fintech Innovation Lab company that was acquired in 2020. Before that, Ed was a Managing Director at JPMorgan Chase, leading a team of 300 software engineers in Risk Technology across three continents, the culmination of a 15-year technology career on Wall Street. Ed holds a patent for a deep learning matching engine issued in 2023 and a master's in physics from Oxford. This high-quality footage was shot live during a packed house at the Open Data Science Conference (ODSC) East in Boston on May 14th, 2025. The director of photography was Lucie McCormick and media editor was Mario Pombo.

This is my "Sizzle Reel" for 2026, showcasing highlights of work I've done communicating A.I. on television and stage. And, hello! My name's Jon Krohn. The videos I make for YouTube are often hands-on demos (in Python) on the latest A.I. approaches and on how the math works under the hood. In addition: • CEO and co-founder of Y Carrot, a software company that specializes in designing and implementing A.I. systems for enterprises. • ML Practice Fellow at Lightning AI. • Host of SuperDataScience, the data science industry’s most listened-to podcast. • Wrote the book Deep Learning Illustrated, an instant #1 bestseller that was translated into seven languages. • Supervise doctoral research in A.I. robotics at the University of Auckland. • Lecture at leading universities (Columbia, NYU), keynote at top global conferences (Web Summit, Collision) and present content on Bloomberg TV that’s viewed by millions. • Hold a PhD from Oxford and have been publishing on machine learning in prominent academic journals since 2010. Reach out to my agent Dylan Silverstein on dsilverstein@agi-entertainment.com to discuss projects. I'd love to be involved! To learn more about engaging me as a keynote speaker, you can get more info here: wwsg.com/speakers/jon-krohn/

Artificial intelligence is transforming how cities operate, from optimizing traffic flow and managing public infrastructure to creating safer, more sustainable, and connected communities. In this "AI Meets World" video produced by Bloomberg Media Studios, Dell's Jon Minshew joined data scientist Jon Krohn to explore how the Dell AI Factory with NVIDIA is empowering municipalities to build powerful digital twins, enabling them to improve services and plan for the future, and taking the complexity out of AI adoption so they can focus on delivering a better quality of life for their citizens. Jon Minshew is Dell's Chief Technology & Innovation Strategist for State and Local Government. Previously, he spent 28 years working for the state of North Carolina, starting as an electronic technician and rising to Chief Customer Officer for the North Carolina Department of Information Technology. Jon Krohn is CEO and co-founder of Y Carrot, a software company that specializes in designing and implementing AI solutions for enterprises. He is also the host of SuperDataScience, the data science industry’s most listened-to podcast. He wrote the book Deep Learning Illustrated, an instant #1 bestseller that was translated into seven languages. Jon holds a PhD from Oxford and has been publishing on machine learning since 2010. For more on the Dell AI Factory with NVIDIA, visit https://sponsored.bloomberg.com/immersive/dell-nvidia/ai-meets-world

This is a short teaser for the four-hour "Agentic AI Engineering" workshop that Ed Donner and I have published in its entirety on YouTube. The full video is here: https://youtu.be/LSk5KaEGVk4 ...and more info on the full workshop is below: In this comprehensive hands-on workshop, Jon Krohn and Ed Donner introduce AI agents, including multi-agent systems. All the essential theory of agentic AI is provided alongside hands-on code demos in Python that feature the critical agent frameworks: MCP, CrewAI and the OpenAI Agents SDK. From design considerations through to practical implementation tips, by completing all four modules in this video, you will have all the knowledge and skills needed to develop and deploy your own multi-agent teams. The four modules are: 1. Defining Agents (with OpenAI Agents SDK) 2. Designing Agents (with CrewAI) 3. Deploying Agents (with MCP) 4. The Future of Agents The accompanying slides and code are available in GitHub: github.com/ed-donner/action Jon Krohn is co-founder and CEO of Y Carrot, a software firm that specializes in designing and implementing agentic AI systems for enterprises. He also serves as ML Practice Fellow at Lightning AI and is the host of SuperDataScience, the data science industry’s most listened-to podcast. He wrote the book Deep Learning Illustrated, an instant #1 bestseller that was translated into seven languages. He lectures at leading universities (Columbia, NYU), keynotes at top global conferences (Web Summit, Collision) and presents content on Bloomberg TV that’s viewed by millions. Jon holds a PhD from Oxford and has been publishing on machine learning in prominent academic journals since 2010. Ed Donner is renowned for his teaching on LLMs and agentic AI via O'Reilly and Udemy. He’s the co-founder and CTO of Nebula.io, the platform that uses generative AI and other forms of machine learning to source, understand, engage and manage talent. Previously, Ed was the founder and CEO of AI startup untapt, an Accenture Fintech Innovation Lab company that was acquired in 2020. Before that, Ed was a Managing Director at JPMorgan Chase, leading a team of 300 software engineers in Risk Technology across three continents, the culmination of a 15-year technology career on Wall Street. Ed holds a patent for a deep learning matching engine issued in 2023 and a master's in physics from Oxford. This high-quality footage was shot live during a packed house at the Open Data Science Conference (ODSC) East in Boston on May 14th, 2025. The director of photography was Lucie McCormick and media editor was Mario Pombo.

Artificial intelligence is revolutionizing financial markets, from uncovering hidden patterns in complex data to discovering new sources of alpha that human analysis alone cannot find. In this "AI Meets World" video produced by Bloomberg Media Studios, NVIDIA's Dr. Ioana Boier joined data scientist Jon Krohn to explore how the Dell AI Factory with NVIDIA is transforming investment strategies, enabling faster market insights, and taking the complexity out of AI adoption so financial institutions can focus their energy on delivering superior returns and more intelligent trading decisions. Ioana Boier has been at NVIDIA since 2022 and currently serves as Global Head of Capital Markets Strategy. Previously, she held quantitative research roles at Alphadyne Asset Management, Citadel LLC and BNP Paribas. Prior to finance, she was a member of the research team and a manager at IBM's TJ Watson Research Center. Ioana holds a PhD in computer science from Purdue University. Jon Krohn is CEO and co-founder of Y Carrot, a software company that specializes in designing and implementing AI solutions for enterprises. He is also the host of SuperDataScience, the data science industry’s most listened-to podcast. He wrote the book Deep Learning Illustrated, an instant #1 bestseller that was translated into seven languages. Jon holds a PhD from Oxford and has been publishing on machine learning since 2010. For more on the Dell AI Factory with NVIDIA, visit https://sponsored.bloomberg.com/immersive/dell-nvidia/ai-meets-world

In this comprehensive hands-on workshop, Jon Krohn and Ed Donner introduce AI agents, including multi-agent systems. All the essential theory of agentic AI is provided alongside hands-on code demos in Python that feature the critical agent frameworks: MCP, CrewAI and the OpenAI Agents SDK. From design considerations through to practical implementation tips, by completing all four modules in this video, you will have all the knowledge and skills needed to develop and deploy your own multi-agent teams. The four modules are: 1. Defining Agents (with OpenAI Agents SDK) 2. Designing Agents (with CrewAI) 3. Deploying Agents (with MCP) 4. The Future of Agents The accompanying slides and code are available in GitHub: github.com/ed-donner/action Jon Krohn is co-founder and CEO of Y Carrot, a software firm that specializes in designing and implementing agentic AI systems for enterprises. He also serves as ML Practice Fellow at Lightning AI and is the host of SuperDataScience, the data science industry’s most listened-to podcast. He wrote the book Deep Learning Illustrated, an instant #1 bestseller that was translated into seven languages. He lectures at leading universities (Columbia, NYU), keynotes at top global conferences (Web Summit, Collision) and presents content on Bloomberg TV that’s viewed by millions. Jon holds a PhD from Oxford and has been publishing on machine learning in prominent academic journals since 2010. Ed Donner is renowned for his teaching on LLMs and agentic AI via O'Reilly and Udemy. He’s the co-founder and CTO of Nebula.io, the platform that uses generative AI and other forms of machine learning to source, understand, engage and manage talent. Previously, Ed was the founder and CEO of AI startup untapt, an Accenture Fintech Innovation Lab company that was acquired in 2020. Before that, Ed was a Managing Director at JPMorgan Chase, leading a team of 300 software engineers in Risk Technology across three continents, the culmination of a 15-year technology career on Wall Street. Ed holds a patent for a deep learning matching engine issued in 2023 and a master's in physics from Oxford. This high-quality footage was shot live during a packed house at the Open Data Science Conference (ODSC) East in Boston on May 14th, 2025. The director of photography was Lucie McCormick and media editor was Mario Pombo. Two bonus goodies below: Follow this link to get Ed's 17-hour "Complete Agentic AI Engineering Course" on Udemy at a discounted rate (as well as coupon links to all of his Udemy courses): https://edwarddonner.com/2025/05/28/connecting-my-courses-become-an-llm-expert-and-leader/ Use this link to skip the waitlist for Lightning AI Studios and get 15 free GPU-compute credits every month: https://lightning.ai/?inviteCode=Agentic-AI-workshop-Jon-Krohn-ODSC-East-2025

TOPIC SUMMARY Module 1: Introduction to Large Language Models (LLMs) - A Brief History of Natural Language Processing (NLP) - Transformers - Subword Tokenization - Autoregressive vs Autoencoding Models - ELMo, BERT and T5 - The GPT (Generative Pre-trained Transformer) Family - LLM Application Areas Module 2: The Breadth of LLM Capabilities - LLM Playgrounds - Staggering GPT-Family progress - Key Updates with GPT-4 - Calling OpenAI APIs, including GPT-4 Module 3: Training and Deploying LLMs - Hardware Options (e.g., CPU, GPU, TPU, IPU, AWS chips) - The Hugging Face Transformers Library - Best Practices for Efficient LLM Training - Parameter-efficient fine-tuning (PEFT) with low-rank adaptation (LoRA) - Open-Source Pre-Trained LLMs - LLM Training with PyTorch Lightning - Multi-GPU Training - LLM Deployment Considerations - Monitoring LLMs in Production Module 4: Getting Commercial Value from LLMs - Supporting ML with LLMs - Tasks that can be Automated - Tasks that can be Augmented - Best Practices for Successful A.I. Teams and Projects - What's Next for A.I. CHAPTERS 0:00 Intro 5:56 Module 1: Introduction to Large Language Models (LLMs) 18:17 The Models that Shaped the Field 34:40 The GPT Family: A Closer Look 38:09 Module 2: The Breadth of LLM Capabilities 49:12 GPT-4 and OpenAI APIs 57:48 Module 3: Training and Deploying LLMs 1:09:52 Advanced Training Techniques and Open-Source Options 1:45:56 Training with PyTorch Lightning and Multi-GPU Training 2:09:33 Deployment and Monitoring of LLMs 2:10:30 Module 4: Getting Commercial Value from LLMs CODE: https://github.com/jonkrohn/NLP-with-LLMs SLIDES: https://www.jonkrohn.com/talks ABSTRACT At an unprecedented pace, Large Language Models like GPT-4 are transforming the world in general and the field of data science in particular. This two-hour training introduces deep learning transformer architectures including LLMs. Critically, it also demonstrates the breadth of capabilities of state-of-the-art LLMs like GPT-4 can deliver, including for dramatically revolutionizing the development of machine learning models and commercially successful data-driven products, accelerating the creative capacities of data scientists and pushing them in the direction of being data product managers. Brought to life via hands-on code demos that leverage the Hugging Face and PyTorch Lightning Python libraries, this training covers the full lifecycle of LLM development, from training to production deployment. ABOUT THE PRESENTER Jon Krohn is Co-Founder and Chief Data Scientist at the machine learning company Nebula. He authored the book Deep Learning Illustrated, an instant #1 bestseller that was translated into seven languages. He is also the host of SuperDataScience, the data science industry’s most listened-to podcast. Jon is renowned for his compelling lectures, which he offers at leading universities and conferences, as well as via his award-winning YouTube channel. He holds a PhD from Oxford and has been publishing on machine learning in prominent academic journals since 2010. STAY IN TOUCH YouTube: youtube.com/c/jonkrohnlearns GitHub: https://github.com/jonkrohn LinkedIn: https://www.linkedin.com/in/jonkrohn/ Twitter: https://twitter.com/JonKrohnLearns Podcast: "Super Data Science" is available on all major podcasting platforms and a video version is on YouTube (youtube.com/@SuperDataScienceWithJonKrohn)

In February 2023, I delivered this keynote on "Getting Value from A.I." to open the second day of Hg Capital's "Digital Forum" in London. With a focus on B2B SaaS applications, over 45 minutes I covered: 1. What Deep Learning A.I. is and How it Works 2. Tasks that are Replaceable with A.I. vs Tasks that can be Augmented 3. How to Effectively Implement A.I. Research into Production The audience engagement was terrific and the on-stage Q&A carried on afterward for an energizing 20 additional minutes. All of it is captured in this video that was slickly-edited by Hg's video-production team. Slides are available at jonkrohn.com/talks For even more of my thoughts on A.I., you can check out the Episode 27 of Hg's "Orbit" podcast. This fun half-hour episode was recorded in London at the same conference: https://hgcapital.com/insight/what-does-ai-mean-to-you-amr-ellaban-speaks-to-jon-krohn/