Steve Wilson, Chief AI and Product Officer at Exabeam and lead of the OWASP GenAI Security Project, discusses the practical realities of securing Large Language Models and agentic workflows. 

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.

In this episode, Ben Lorica and Evangelos Simoudis of Synapse Partners explore the complex reality behind AI-driven layoffs, from automation and upskilling gaps to strategic shifts in R&D. They also dive into the massive capital investments in AI, discussing the growing pressure for ROI and the emergence of LLMOps as a form of financial management. The conversation highlights practical strategies for enterprises, emphasizing the need to break down organizational silos to succeed in the AI era.

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.

In this episode, host Ben Lorica talks with Sakana AI research scientist Stefania Druga, formerly a research scientist at Google DeepMind, about building AI tools for young learners and what that teaches us about AI design for everyone.

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.

Stanford professor and Kumo.ai co-founder Jure Leskovec introduces the concept of a relational foundation model for structured enterprise data. 

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.

This episode features Philip Rathle, CTO of Neo4j, discussing the real-world state of Graph RAG and its journey from prototype to production in enterprise AI systems. 

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.

Emmanuel Ameisen, an interpretability researcher at Anthropic, joins the podcast to demystify how large language models work.

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.

Ben Lorica and Evangelos Simoudis of Synapse Partners explore the complex reality behind AI-driven layoffs, from automation and upskilling gaps to strategic shifts in R&D. They also dive into the massive capital investments in AI, discussing the growing pressure for ROI and the emergence of LLMOps as a form of financial management.

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.

Ciro Greco, Co-founder & CEO at Bauplan, joins the podcast to discuss a new paradigm for data engineering rooted in software engineering principles. He explains how treating the data lakehouse like a software project — with version control, branching, and transactional pipelines — creates a robust and safe environment for development. 

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.

Mike Freedman and Ajay Kulkarni, founders of Tiger Data, join the podcast to unveil Agentic Postgres, a database re-imagined for AI agents. 

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.

Nick Schrock, CTO of Dagster, discusses the critical role of data orchestration in the AI era, framing “context pipelines” as the new data pipelines that form the foundation of any AI strategy. He introduces Compass, a new Slack-native tool for collaborative, exploratory data analysis designed to replace the 80% of ad-hoc BI dashboards. 

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.