DataStax

Context Window: Enterprise AI Reality Check

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.

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Autor

DataStax

Kategoria

Technology

Strona podcastu

podcasters.spotify.com

Ostatni odcinek

8 wrz 2025

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Odcinki

Human–AI Interaction: Where Do Humans End and Machines Begin? 08.09.2025

Prompting, context, agents, interfaces — the way humans and machines interact is being rewritten. Ed Anuff and Anant Jhingran talk with Kate Blair of IBM Research about what’s broken in today’s AI experiences, why collaboration is missing, and how the next generation of agentic interfaces could redefine the boundary between people and AI.🚀 Explore the playbook powering enterprise AI → https://dts...

Rethinking Developer Productivity in the AI Era 19.08.2025

Developer productivity is changing fast — and 🤖 AI is at the center of it.🎙️ On this episode of Context Window, Ed Anuff and Anant Jhingran open with their take on the biggest AI headlines, then sit down with 💡 Neel Sundaresan, GM of Automation & AI at IBM.They cover:⏳ Where developers really lose time📈 How AI is moving beyond code💰 What token costs mean for your budget🤔 Whether one mode...

MCP-ization and GraphQL: Enabling AI-Driven Open Data Access 31.07.2025

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. T...

Solving the Relevancy Problem: Using Your Data in Models 24.06.2025

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 rea...

Building the Infrastructure for Agentic AI 10.06.2025

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 Whet...

Are MCPs the New APIs? 22.04.2025

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 🚀...

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