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.
--------
38:24
--------
38:24
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.
--------
52:45
--------
52:45
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.
--------
44:11
--------
44:11
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.
--------
39:23
--------
39:23
The Fenic Approach to Production-Ready Data Processing
Kostas Paralis, co-founder of Typedef , discusses Fenic, an open-source data frame framework designed specifically for AI applications that treats inference as a first-class operation within the query engine. 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/].
Österreich