DataStax

Join hosts Ed Anuff and Anant Jhingran for a new episode of Context Window, a live conversation exploring how AI is evolving and what it means for the way we build, reason, and deploy intelligent systems. This week’s guest, Alex Salazar, Co-Founder and CEO of Arcade.dev, joins the discussion to unpack one of enterprise AI’s toughest challenges 🤔 : moving from impressive demos to production-grade deployments that actually scale. We’ll explore: 👉 Why so many AI projects stall between prototype and production 👉 How security, identity, and governance shape real-world AI systems 👉 Why “demo culture” can slow innovation and how to fix it 👉 What developers can do to build with confidence in an unpredictable landscape Join us live for a conversation about what it really takes to go from hype to production in the age of AI agents.

Something big is happening in open AI. The 💻 OpenRAG Summit - happening Nov 13 - brings together engineers from Langflow, Docling, and OpenSearch Project for a virtual, code-first event exploring how open-source tools are redefining what’s possible with RAG systems. Expect demos, deep dives, and a few surprises 🤩 . Want to be a part of it? Register now → https://lnkd.in/gTMEB3cB #OpenRAG #OpenSource #AI #GenAI

Join hosts Ed Anuff and Anant Jhingran for a new episode of Context Window, a live conversation exploring how AI is evolving and what it means for the way we build, reason, and trust intelligent systems. This week’s guest, David Cox, VP of AI Models at IBM Research and Director of the MIT-IBM Watson AI Lab, joins the discussion to unpack one of AI’s most fascinating challenges: how machines learn to mix and match certainty and uncertainty. We’ll explore: 👉 How AI models gauge confidence and when they get it wrong 👉 What “knowing when you don’t know” means for building reliable systems 👉 How prompts shape reasoning today (and what might replace them) 👉 Why the future of AI is less about size, and more about self-awareness Join us live for an honest, thought-provoking conversation about the future of prompts, reasoning, and trust in AI.

We’ve got a new Context Window Podcast episode coming up tomorrow, Tuesday, Oct 21, and it’s a good one! We’re talking about how developers are shaping today’s biggest tech trends, and the shifts they’re spotting before the rest of the industry catches on. Our guest is James Governor, co-founder and analyst at RedMonk, joining hosts Ed Anuff and Anant Jhingran for a real conversation about what’s next in software. We’ll cover everything from: 👉 Why smaller, smarter AI models might beat the giants 👉 How open source and AI are colliding in wild new ways 👉 What “developer influence” really means in 2025 If you care about where tech is headed (and what builders are quietly experimenting with right now), this one’s worth the watch. See you there!

Join hosts Ed Anuff and Anant Jhingran for a new episode of Context Window, a live conversation exploring how AI is evolving and what it means for the way we build, reason, and trust intelligent systems. This week’s guest, David Cox, VP of AI Models at IBM Research and Director of the MIT-IBM Watson AI Lab, joins the discussion to unpack one of AI’s most fascinating challenges: how machines learn to mix and match certainty and uncertainty. We’ll explore: 👉 How AI models gauge confidence and when they get it wrong 👉 What “knowing when you don’t know” means for building reliable systems 👉 How prompts shape reasoning today (and what might replace them) 👉 Why the future of AI is less about size, and more about self-awareness Join us live for an honest, thought-provoking conversation about the future of prompts, reasoning, and trust in AI.

Join IBM’s Ed Anuff (VP of Open Platform Strategy, IBM Data and AI) and Anant Jhingran (CTO, IBM Software) for the next episode of Context Window — this time with special guest Kate Soule (Director of Technical Product Management, Granite at IBM). 🎙️ The theme: “It’s time to make small models cool again.” Kate will unpack why enterprises should be thinking beyond “bigger is better” when it comes to AI models: 👉 The real costs and tradeoffs of scaling large models (latency, infra, customization) 👉 Where small, fit-for-purpose models shine - efficiency, flexibility, faster inference 👉 How Granite is applying this approach in areas like coding, time-series, and document understanding 👉 What the future of enterprise AI looks like when right-sized models are the default

We’re moving! As DataStax joins IBM, our story will continue on IBM social channels. Follow IBM, IBM watsonx, and Langflow to stay connected on the latest in AI and data innovation. ✨

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.

Build AI Apps Faster with Langflow 🚀 AI is transforming everything: industries, projects, and our daily lives. The question is: how will you put it to work? Join us live as Kiyu Gabriel walks through how Langflow makes it easy to design, connect, and launch AI apps - no advanced coding required. You’ll see how to combine LLMs, RAG, APIs, and custom logic into real solutions that make an impact right away. What you’ll learn: 👉 How to rapidly prototype and iterate AI workflows 👉 Ways to integrate data, APIs, and custom logic into your apps 👉 Best practices for moving from proof of concept to production

🤔 Want to learn how to escape Materialized View hell? Materialized Views might’ve seemed like a shortcut, but for many Cassandra users, they’ve become a never-ending ops nightmare. If that sounds familiar, this session is for you! Join Aaron Ploetz as he breaks down: 👉 The real issues with Materialized Views in Apache Cassandra® 👉 How to remodel your tables to avoid them entirely 👉 Practical ways to safely remove existing MVs