Confluent

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

Over the past decade, AI has been trained on historical data. The next decade will be defined by AI systems that operate in the moment, continuously ingesting, reasoning, and acting on real-time data. That’s exactly what we saw in Cohort-3 of our Data Streaming AI Accelerator program. Tim Graczewski breaks down the key themes, architectures, and startups building this future below! ⤵️

🛒 Did you know 10% of your grocery store's items might be out of stock right now? 🤯 It is wild to think about, but even in 2026, many major retailers still rely on workers walking the aisles with clipboards or hand scanners to check inventory. The result? The industry standard for inventory accuracy is only sitting between 65% and 80%. For a store operating on razor-thin margins, an out-of-stock item doesn't just mean a lost sale—it can mean losing a customer forever. On the newest episode of Life Is But A Stream, I sat down with Kevin Johnson, CEO of Focal Systems, to talk about how they are blowing up the old retail model using AI and real-time computer vision. Instead of a daily manual scan, Focal Systems uses hundreds of cameras to process between 5 and 6 MILLION images a day. They feed all this into a real-time data stream to provide an always-on, 95% accurate picture of the store! Instead of walking aimlessly, store clerks receive highly optimized, geographically grouped tasks telling them exactly what to restock, from what backroom bin, and to what specific shelf. When you get your data flowing in real time, you don't just solve one problem—you completely revolutionize the business. 📺 Watch the full episode here: https://lnkd.in/gnPf5nZj 👇 Q: What is the most frustrating item to find out of stock when you're at the grocery store? Drop it in the comments! #DataStreaming #Confluent #Kafka #DataInMotion #Retail #EventDrivenArchitecture

🌟 Meet our Catalyst of the Week, Elad! Elad Leev is a frequent global conference speaker, including several Kafka Summits, and an active contributor to the Kafka and Flink ecosystem. He has developed numerous open-source tools and regularly shares insights on engineering, data technologies, and streaming systems through his blog. Beyond speaking and writing, Elad supports the community by advising companies adopting streaming technologies, helping startups explore new ideas in the space, and mentoring engineers transitioning into data-related roles. 👉 Learn more about our Catalyst program here: https://cnfl.io/3P50GGo

The 2026 Confluent Partner Awards APAC winners are here! We’re beyond excited to celebrate these game changers in data streaming. 🍾 Congrats to our winners: 🏆 Emerging Partner of the Year - iZeno 🏆 OEM Partner of the Year - Infosys 🏆 Emerging Partner of the Year, India - Giniminds 🏆 Co-sell Partner of the Year - iValue Group 🏆 GSI of the Year - Tata Consultancy Services 🏆 Training Partner of the Year - DataCouch 🏆 CSP Market Place Partner of the Year - Google Cloud 🏆 Co-Delivery Partner of the Year - Enhanced Software Solutions Pvt. Ltd. 🏆 Co-Marketing Partner of the Year - Amazon Web Services (AWS) 🏆 ECO System Synergy Partner of the Year - Celebal Technologies 🏆 Confluent Partner Evangelist of the Year - Sonali Samal, Giniminds 🏆 APJ Partner of the Year - Mitra Integrasi Informatika, PT

Simpler to Build On. Simpler to Run. Confluent Platform 8.2 is here! Built on Apache Kafka® 4.2, this update extends and simplifies what you can do with Kafka and Apache Flink. Build rich stateful apps with Flink SQL, natively handle task-queue workloads with Queues for Kafka, or tap into seamless client switchover for migrations, upgrades and DR. Get a closer look at the latest and greatest in Confluent Platform: https://cnfl.io/4vyUlDZ

If your AI agents hallucinate, stall in production, or deliver stale answers, you don’t have a model problem. You have a data problem. The solution? Context engineering. Download our latest ebook to learn how to master it and deliver fresh context for reliable AI: https://cnfl.io/4cRDjtZ