Why Digital Work is the Perfect Training Ground for AI Agents
Andrew Rabinovich, CTO and Head of AI at Upwork, discusses how digital work marketplaces serve as ideal testing grounds for AI agents, exploring their custom reinforcement learning approach called RLEF (Reinforcement Learning from Experience). Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon · RSS.Detailed show notes - with links to many references - can be found on The Data Exchange web site.
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Beyond the Chatbot: What Actually Works in Enterprise AI
Jay Alammar is Director and Engineering Fellow at Cohere and co-author of the O’Reilly book “Hands-on Large Language Models.” Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon · RSS.Detailed show notes - with links to many references - can be found on The Data Exchange web site.
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Why China's Engineering Culture Gives Them an AI Advantage
Ben Lorica and Evangelos Simoudis discuss three critical topics for AI practitioners: the complexities of AI regulation, with debates over foundation model oversight versus domain-specific regulations and concerns about IP protection in AI training data.Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon · RSS.Detailed show notes - with links to many references - can be found on The Data Exchange web site.
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Predictability Beats Accuracy in Enterprise AI
In this episode, Anant Bhardwaj, CEO of Instabase, provides a pragmatic guide for AI practitioners building enterprise solutions. Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon · RSS.Detailed show notes - with links to many references - can be found on The Data Exchange web site.
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2025 AI Governance Survey
Ben Lorica and David Talby present findings from the 2025 AI Governance Survey of 350+ respondents, revealing that while 30% have AI models in production, there are significant gaps in risk management practices. 🚨 This episode is based on an online presentation, see the YouTube version for a visual presentation.Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon · RSS.Detailed show notes - with links to many references - can be found on The Data Exchange web site.
A series of informal conversations with thought leaders, researchers, practitioners, and writers on a wide range of topics in technology, science, and of course big data, data science, artificial intelligence, and related applications. Anchored by Ben Lorica (@BigData), the Data Exchange also features a roundup of the most important stories from the worlds of data, machine learning and AI. Detailed show notes for each episode can be found on https://thedataexchange.media/ The Data Exchange podcast is a production of Gradient Flow [https://gradientflow.com/].
France