AI in NYC Show

In this episode I interview Amy Webb from the Future Today Institute, and we discuss her book on technology - The Big Nine, and all the issues AI/ML create for the world that we need to address.

In this episode, I talk to Rob Aitken from ARM about AI hardware and the future of edge AI.  Rob explains the differences between CPUs and GPUs, what we mean when we say AI accelerators, and the future of AI hardware.  

In this episode, Ash Fontana discusses his book "The AI-First Company:  How to Compete and Win With Artificial Intelligence".  We discuss the role of data network effects, how data learning effects are bigger and more important, and many other AI related topics.

In this episode, Karim Lakhani, a professor at Harvard Business School,  discusses his book "Competing in the Age of AI."  We talk about how vectors of competition change in an AI world, and how traditional business strategy has to adapt.

Upstart is a publicly traded company (NASDAQ:  UPST) that provides AI powered loan approvals for banks.  Listen as Dave talks about why there is a huge gap in approvals, and thus an opportunity for Upstart, and how to build competitive advantage in AI related spaces.

In this episode, Matt Jones from Sourse discusses a common challenge among AI companies - how much to focus on a horizontal platform vs a vertical integration play.  It comes up a lot in the AI companies I see, so listen in to hear Matt's take on how they worked through the process and found a solution.

Rana is computer science PhD,  an expert in AI for emotions, and CEO of Affectiva.  Listen in to hear her discuss emotional computing, using AI to detect emotions,  the MLOps tech stack, the role of synthetic data in training models, and more.

Anno.ai is a machine learning platform that started in the government sector but expanded into commercial use for other customers needing security and privacy around data labeling and model management.  Ashley Antonides, VP of Data Science at Anno, joins me here to discuss data labeling, government requirements around machine learning models, and many other topics.

Edge AI is one of the most explosive areas of growth for AI, and Deeplite is a market leader in compressing AI models so that they work on the edge.  Hear Davis talk about the technology and how it will impact edge devices as that market approaches the size of the cloud computing market.

Kevin Roose recently released a book called Futureproof - about how to stay relevant in a world of increasingly automated work.  In this episode Kevin and I discuss AI and automation and relevant topics from the book.