Context Window: Enterprise AI Reality Check
Context Window: Enterprise AI Reality Check
Podcast Description
In a landscape flooded with AI hype, what really matters for enterprise success? 🤔 Join Ed Anuff (CPO, DataStax) and Anant Jhingran (CTO, IBM for Data / AI) for a new livestream series where we’ll cut through the noise to focus on practical, bottom-line AI impact for enterprises. 💡
𝐂𝐨𝐧𝐭𝐞𝐱𝐭 𝐖𝐢𝐧𝐝𝐨𝐰: 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐀𝐈 𝐑𝐞𝐚𝐥𝐢𝐭𝐲 𝐂𝐡𝐞𝐜𝐤 will dive into the most talked-about AI trends and provide practical advice for enterprises navigating the AI landscape.
Podcast Insights
Content Themes
Explores AI trends and their implications for enterprise operations, with specific topics such as Model Context Protocols (MCPs) and their comparison to traditional APIs, along with practical advice for organizations adapting to the AI landscape.
In a landscape flooded with AI hype, what really matters for enterprise success? 🤔 Join Ed Anuff (CPO, DataStax) and Anant Jhingran (CTO, IBM for Data / AI) for a new livestream series where we’ll cut through the noise to focus on practical, bottom-line AI impact for enterprises. 💡
𝐂𝐨𝐧𝐭𝐞𝐱𝐭 𝐖𝐢𝐧𝐝𝐨𝐰: 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐀𝐈 𝐑𝐞𝐚𝐥𝐢𝐭𝐲 𝐂𝐡𝐞𝐜𝐤 will dive into the most talked-about AI trends and provide practical advice for enterprises navigating the AI landscape.
Join IBM’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)—an emerging open standard that “standardizes how LLMs interface with external systems”—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.
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