AI hallucinations. Stalled RAG pilots. Inaccurate answers. Let’s talk about the real reason behind those challenges: your data.

In this episode of Context Window, DataStax CPO Ed Anuff and IBM CTO of Software Anant Jhingran unpack the relevancy problem—why enterprise AI apps struggle to produce useful results, and what you can do about it.

From unstructured data and dynamic query generation to reasoning, reranking, and beyond, we’ll cover what it actually takes to move from pilot to production. Don’t miss this practical, no-hype session on making AI work right now.

In this special episode of Context Window, recorded live at IBM Think, DataStax CPO Ed Anuff joins IBM’s Anant Jhingran for a candid conversation on the future of enterprise AI.

They dive into:

– The rise of AI agents as the new application layer

– Why clean APIs and model orchestration matter

– The economics of tokens in production AI

– How enterprises can move from GenAI hype to real impact

Whether you’re a CIO, architect, or tech leader, this is essential viewing for navigating the next wave of AI.

Model Context Protocols (MCPs) are redefining how AI-native systems talk, reason, and act. But are they really replacing traditional APIs—or just reshaping them?

In this episode of Context Window, Ed Anuff (CPO, DataStax) and Anant Jhingran (CTO, IBM Data & AI) dig into: 

🔍 What MCPs actually are (and what they’re not)

🔄 How MCPs compare to APIs for interoperability, identity, and trust

🚀 Where the MCP ecosystem is headed next

Whether you’re building AI agents or rethinking your data stack, this one’s for you.