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Join us weekly as we sit down and chat about the Data revolution and how to get involved with it, whether you're a seasoned pro at the forefront of change or someone new to the field.
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263 Episodes
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The Model Context Protocol has transformed how autonomous AI agents connect to enterprise data stacks, making it easier than ever to plug agents into the tools and systems your business relies on. But that convenience comes with a serious catch. With optional authorization and static API keys still common, many MCP deployments leave the door wide open. In this episode, we look at why securing agentic workflows has to happen before agents are given real autonomy. We explore how unrestricted ag...
Enterprise AI rarely fails loudly. More often it fails silently, returning answers that sound plausible but are simply wrong. The root cause is usually not the model itself but the gap in meaning: machine learning models have no built-in understanding of what your organisation means by “customer,” “revenue,” or “active account.” In this episode, we explore how to close that semantic gap before it undermines trust in your AI systems. We walk through the layers of meaning organisations need to ...
Who’s Judging the Judges? Why AI Evaluation Still Needs Humans Evaluation-driven development promises a structured way to measure AI quality, but there’s a catch most teams overlook: the automated scorers at the heart of their pipelines are rarely checked against real human judgment. In this episode, we look at why reliable AI evaluation starts with people, not dashboards. We discuss why teams should resist adopting rigid benchmarks upfront and instead begin with hands-on error analysis of re...
The Open Data Contract Standard (ODCS) v3.1.0 has emerged as the industry's definitive format for defining data agreements after competing specifications were deprecated. Managed by the Bitol project under the Linux Foundation, this version introduces stricter validation, enhanced relationship mapping, and machine-actionable service-level agreements. While the standard reached Graduated status in 2026, the ecosystem faces complexity as enforcement tools like Soda and Great Expectations underg...
The episode outlines the technical evolution and common misconceptions surrounding the multimodal lakehouse architecture for AI workloads. While the Lance format and LanceDB platform offer a unified way to manage video, audio, and text, popular industry diagrams often mischaracterise the roles of supporting tools. For instance, Apache Kafka is unsuitable for transporting large media files, and Materialize should be used for relational data state rather than vector generation. Real-world...
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