00:20:31 · Neil C. Hughes
[00:20:31] S0: Massive thank you to Stephen for joining me here at the event. I think his distinction between using data to analyze a business and using it to run a business was particularly interesting. And it's worth remembering that many organizations already have substantial investments in their data infrastructure, but Stephen believes that those investments can continue to play an an important role. But the big talking point here is around the announcement of Streamhouse, the new data architecture designed to help businesses work with information as it changes. And just going back to the point that we've made several times today, I would implore you to think about what happens when all your AI agents are making decisions using information that is several minutes or worse still, potentially hours out of date. I'll include links to all things Confluent, Streamhouse, and the announcements coming from Current twenty twenty six in the show notes. But I'd love to hear your experiences too. Are outdated systems and delayed information holding back projects inside your organization? Or have you found other practical ways to solve these problems? Please share your thoughts. Pop over to tech talks network dot com. Send me a DM. Send me an audio message. I'm nice and easy to find. Or connect with me on LinkedIn, Instagram, etcetera, just at Neil C. Hughes. The leading issue of agentic AI in businesses right now is ensuring agents act with compliance guidelines. And Denodo applies guardrails across your entire data estate. By aligning your company's data infrastructure under one system, these guardrails perform consistently across your platform. So start scaling your business and start with Denodo. Simply visit donodo.com to learn more. But that's it for today, so thanks for listening as always. Bye for now.