Context Window: Enterprise AI Reality Check

DataStax
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In a landscape flooded with AI hype, what really matters for enterprise success? ๐Ÿค” Join Ed Anuff (CPO, DataStax) and Anant Jhingran (CTO, IBM for Data / AI) for a new livestream series where weโ€™ll cut through the noise to focus on practical, bottom-line AI impact for enterprises. ๐Ÿ’ก ๐‚๐จ๐ง๐ญ๐ž๐ฑ๐ญ ๐–๐ข๐ง๐๐จ๐ฐ: ๐„๐ง๐ญ๐ž๐ซ๐ฉ๐ซ๐ข๐ฌ๐ž ๐€๐ˆ ๐‘๐ž๐š๐ฅ๐ข๐ญ๐ฒ ๐‚๐ก๐ž๐œ๐ค will dive into the most talked-about AI trends and provide practical advice for enterprises navigating the AI landscape.

Episodes

  1. JUL 31

    MCP-ization and GraphQL: Enabling AI-Driven Open Data Access

    Join IBMโ€™s Ed Anuff (VP, Langflow and Open Platform Strategy), Anant Jhingran (CTO, IBM Software), and Roy Derks (Principal Product Manager, IBM) to explore MCP-ization and GraphQL. They will discuss how Model Context Protocol (MCP)โ€”an emerging open standard that โ€œstandardizes how LLMs interface with external systemsโ€โ€”intersects with GraphQL to revolutionize open data access and API integration. The session will feature a live demo by Roy, showcasing how to MCP-ize a GraphQL API for AI-driven data access.

    59 min
  2. Solving the Relevancy Problem: Using Your Data in Models

    JUN 24

    Solving the Relevancy Problem: Using Your Data in Models

    AI hallucinations. Stalled RAG pilots. Inaccurate answers. Letโ€™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 problemโ€”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, weโ€™ll cover what it actually takes to move from pilot to production. Donโ€™t miss this practical, no-hype session on making AI work right now.

    47 min
  3. Building the Infrastructure for Agentic AI

    JUN 10

    Building the Infrastructure for Agentic AI

    In this special episode of Context Window, recorded live at IBM Think, DataStax CPO Ed Anuff joins IBMโ€™s Anant Jhingran for a candid conversation on the future of enterprise AI. They dive into: โ€“ The rise of AI agents as the new application layer โ€“ Why clean APIs and model orchestration matter โ€“ The economics of tokens in production AI โ€“ How enterprises can move from GenAI hype to real impact Whether youโ€™re a CIO, architect, or tech leader, this is essential viewing for navigating the next wave of AI.

    27 min
  4. Are MCPs the New APIs?

    APR 22

    Are MCPs the New APIs?

    Model Context Protocols (MCPs) are redefining how AI-native systems talk, reason, and act. But are they really replacing traditional APIsโ€”or just reshaping them? In this episode of Context Window, Ed Anuff (CPO, DataStax) and Anant Jhingran (CTO, IBM Data & AI) dig into:  ๐Ÿ” What MCPs actually are (and what theyโ€™re not) ๐Ÿ”„ How MCPs compare to APIs for interoperability, identity, and trust ๐Ÿš€ Where the MCP ecosystem is headed next Whether youโ€™re building AI agents or rethinking your data stack, this oneโ€™s for you.

    56 min
  • 4 Episodes

About

In a landscape flooded with AI hype, what really matters for enterprise success? ๐Ÿค” Join Ed Anuff (CPO, DataStax) and Anant Jhingran (CTO, IBM for Data / AI) for a new livestream series where weโ€™ll cut through the noise to focus on practical, bottom-line AI impact for enterprises. ๐Ÿ’ก ๐‚๐จ๐ง๐ญ๐ž๐ฑ๐ญ ๐–๐ข๐ง๐๐จ๐ฐ: ๐„๐ง๐ญ๐ž๐ซ๐ฉ๐ซ๐ข๐ฌ๐ž ๐€๐ˆ ๐‘๐ž๐š๐ฅ๐ข๐ญ๐ฒ ๐‚๐ก๐ž๐œ๐ค will dive into the most talked-about AI trends and provide practical advice for enterprises navigating the AI landscape.

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