Confluent

So, what's on the horizon now that we're an IBM company? Joseph Morais sat down with Sean Falconer at #GoogleCloudNext to get his thoughts on the opportunities ahead of us. 👇

Agents have to stop being reactive and become systems of actions. In other words, they have to become event-driven. Let's break it down. ⤵️ 🎤 Joseph Morais | #GoogleCloudNext

Jorge A. takes us through our Tableflow demo at #GoogleCloudNext! Want to see it for yourself? We're at booth 7209. 🧊 🎤 Joseph Morais

With the Gemini Enterprise Platform announcement the keynote yesterday, Google acknowledged that Model Context Protocol is here to stay. So, what does that mean? Joseph Morais breaks it down. ⤵️

⏱️ From topics to queries in seconds. We met up with Rashmi Torgalmath to talk about our BigQuery Sink V2 Connector and why analytics are key in a world of agentic AI. ⤵️ 🎤 Joseph Morais | #GoogleCloudNext

Morning, #GoogleCloudNext! ☕️ Ready to kick off Day 2? Come hang out with us at booth 7209!

Mark your calendars: #Current26 London kicks off with this can’t-miss keynote on May 19 at 10 am BST. Join Jay Kreps, Shaun Clowes, Can Sözeri from Getir, and industry thought leaders at #Current26 London to learn how you can build intelligent systems with real-time data. We’ll show you why streaming is becoming ubiquitous across every business function, and how it unlocks a shift-left approach: process and govern at the source, then reuse everywhere. Get ready for live demos, real-world customer stories, and practical playbooks for bringing real-time AI to production. Register now: https://cnfl.io/3Qqt6eX

As recently as two months ago, Shalini A., the founder of Neuron Systems Inc, had little to no hands-on experience with real time data streaming. Today, she and her team have built a production-grade, real-time multi-agent AI system that orchestrates multiple agents through the Confluent Data Streaming Platform. This is exactly what the Data Streaming AI Accelerator is designed to unlock: taking ambitious early-stage ideas and turning them into real, working data architectures powered by event-driven systems. As multi-agent AI becomes the dominant paradigm, the need for real-time communication, coordination, and state management is critical. Confluent's Data Streaming Platform provides the backbone to make that possible. The Neuron Systems case study below is a great example of what’s possible when strong founders combine with the right technical guidance (shout out 📣 : Daniel Takabayashi and Mingge Deng) and infrastructure in a focused 10-week sprint. 🚀 👉 Check out the full architecture and journey here: https://lnkd.in/gUicaD3i #DataStreaming #RealTimeData #EventDriven #Kafka #ApacheFlink #StreamingArchitecture

AI agents are only as good as the data they can access, but legacy architectures often fail to provide the real-time context agents require. Sean Falconer's lightning talk will explore context engineering: the foundation for ensuring data freshness and quality. We met up with him to hear all about it. At #GoogleCloudNext? Add it to your agenda: https://cnfl.io/41PVVUs 🎤 Joseph Morais

🔴 Live from Las Vegas, it’s #GoogleCloudNext! Joseph Morais is back as your on-site correspondent to bring you a backstage pass. At the event? Want to say hi? Here’s where we’ll be: 📍 Booth 7209, where we'll show you how to stream data from anywhere to Google Cloud. 📍 Taking the Expo Theater 2 stage for a lightning talk all about Context Engineering. More info: https://cnfl.io/4dj4ZIn 📍Hosting a happy hour with MongoDB + LangChain at Border Grill before Next at Night. Register here to join us: https://cnfl.io/46SZY5p