Introducing 
Express — Go from prompt to pipeline in minutes.
In episode seven of DatAInnovators & Builders Podcast, Rowan Trollope, CEO of Redis, explains how teams hit 95% cache and cut LLM costs 70% using agent memory, semantic layers, and production-grade AI infrastructure.
In episode six of DatAInnovators & Builders Podcast, Fred Gertz explains how swarm intelligence solves NP-hard routing and scheduling problems in seconds—without training data or LLMs.
In episode five of DatAInnovators & Builders Podcast, GrowthX founder Marcel Santilli explains the delegation test for AI and why poor context, not weak models, is the real reason AI initiatives fail to scale.
In episode four of DatAInnovators & Builders Podcast, BigID’s Stephen Gatchell explains the data governance gap blocking AI production, why unstructured data breaks legacy models, and how data product frameworks enable scale.
In this third episode of DatAInnovators & Builders Podcast, BigPanda’s Alexander Page shares how his team designs AI agents that internalize corrections, evaluate tool use, and scale reliably in production.
In this second episode of DatAInnovators & Builders Podcast, Ashish Thusoo breaks down how CurieTech AI uses benchmarks-first discipline and AI-driven build loops to achieve 70–80% productivity gains.
In this episode of The SaaS Podcast, host Omer Khan talks with Nexla’s founder, Saket Saurabh, about live‑coded demos, consultative outreach, and bold moves that drove multi‑7‑figure deals.
In this first episode of DatAInnovators & Builders Podcast, Databricks’ Robin Sutara reveals why generic AI training doesn’t stick and how persona-based enablement drives real adoption.
A podcast for data leaders looking for real conversations on AI adoption and data architecture, hosted by Nexla CEO Saket Saurabh.
In this episode of Software Engineering Radio, listen how the Model Context Protocol is transforming AI system architecture, and empowering developers with agentic workflows
In the News: Saket Saurabh sits down with Joe Reis to discuss why context, not models, defines competitive advantage in AI and how enterprises must rethink data strategy.
Transcription: Meagan Cunninghan (Host): Hello everyone you’re listening to future chain your source for thought leadership…
