Context is the Real Intelligence: Why AI and Humans Both Depend on It

Back by popular demand! After the massive success of our first AI-focused episode, the Data Stakes podcast is returning to the world of Artificial Intelligence—but this time, we’re peeling back the curtain on what actually makes these systems work. In this special roundtable episode, host Debbie sits down with three key members of the Datatelligent (DT) team: Founder and CEO Larry Blackburn, and Director of Product Development Robert Miller, who helped kick off our popular AI series earlier this year. We’ve all heard that AI is "intelligent," but without the right environment, it’s often just guessing. In this episode, titled "Context is the Real Intelligence: Why AI and Humans Both Depend on It," we explore why context is the bridge between a "hallucinating" chatbot and a trusted business tool. In this episode, we discuss:

• The Human Shorthand: How our shared experiences and "organizational knowledge" allow us to communicate efficiently, and why AI lacks this by default.
• Context Engineering vs. Prompt Engineering: Why the future of AI isn't just about asking better questions, but about designing better information environments.
• The Semantic Layer: A deep dive into how tools like Snowflake allow institutions to build a "map" that keeps AI accurate and grounded in reality.
• Security & PII: How to maintain strict data privacy and guardrails while still giving AI the access it needs to be useful.
• Building Trust: Why providing institutional definitions is the only way to move from AI skepticism to AI adoption in Higher Ed and beyond.

Whether you’re an AI enthusiast or "AI hesitant," this conversation will change how you think about the data you feed your systems. Because at the end of the day, meaning doesn't come from words alone—it comes from context.