It's About Data

Andrew Brust, founder of Blue Badge Insights and longtime Microsoft data platform expert. He explores how Microsoft Fabric and Fabric IQ connect AI to business data. He explains why ontologies and semantic layers matter for reducing hallucinations. He discusses graph engines, agents, and practical ontology adoption and who should build them.

We chat with Aaron Black ( @oreilly  ) about the state of tech publishing. Do we still need books when we have AI? What do physical books have to do with vinyl records? This episode was recorded at Data Day Texas 2026.#artificialintelligence #techindustry #publishing

This is a continuation of the conversation with Bruno in episode 47. What do you get for the enterprise that has everything? We've had systems of record, systems of engagement, and systems of intelligence for some time, but now it's time for action.Episode 47:https://open.spotify.com/episode/4ewPRBEDo6B7jL4WF8s92K?si=gE2EXLTfSE-0kpSOffOQYABruno's substack:https://carcast.substack.com/#artificialintelligence #dataanalytics

Bruno Aziza ( @IBM  ) joins the show to discuss trust, hybrid cloud, hybrid model strategy, and systems of action.#dataanalytics #hybridcloud #artificialintelligence

In this episode, we sit down with Patrick McFadin (IBM) at Data Day Texas 2026.

Dave Mariani discusses how AtScale became a 13 year overnight success by serving the semantic needs of AI agents.#dataanalytics #aiagents

We preview Data Day Texas 2026 from Austin Texas. Crazy weather, ontologies, knowledge graphs, context graphs, semantics, the rebirth of the modern data stack, etc.#dataanalytics #artificialintelligence

Sudhir Hasbe (President and CPO,  @neo4j  ) joins us to discuss the excitement around context graphs.Links related to this episode:A blog post on knowledge graphs.https://neo4j.com/blog/genai/hands-on-with-context-graphs-and-neo4j/A context graph demo site:https://context-graph-demo.vercel.app/A case study with Electronic Arts:https://neo4j.com/customer-stories/technology-media-company/The blog post that brought context graphs to the fore:https://foundationcapital.com/context-graphs-ais-trillion-dollar-opportunity/

This episode continues the conversation between John Rymer and Rick Greenwald (analysis.tech) from Ep. 41. Amongst the disagreements, we see some common ground.YouTube link: https://youtu.be/zxfZiqMJwvkEp 41: https://open.spotify.com/episode/0HHXKDhKVaAAIpl6vISfrH?si=hphHlcUKTC6fUDQIC9BJxQ#aiagents #dataanalytics #database #softwaredevelopment

Rick Greenwald and John Rymer (analysis.tech) come from opposing camps in a longstanding conflict: data vs app development. In this episode, they strive toward a detente.YouTube link:https://youtu.be/z3BZFF2B7RM