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🚨#ConfluentAIDay in India and online is happening next week! If you haven’t already, sign up and get ready for expert discussions, interactive workshops with Amazon Web Services & MongoDB, and a hackathon designed to propel your ideas into a fully built AI app. Hacks mean prizes 👉

Want to build an AI-powered personalization engine? This blog walks you through it, step-by-step: ➡️ Set up your infra with Terraform ➡️ Ingest real-time data from Oracle + Kafka ➡️ Enrich streams with Flink ➡️ Auto-sync to Delta Lake with Tableflow ➡️ Launch GenAI-powered

Confluent + @Databricks + Amazon Web Services What a combo. We're so glad we got to talk to Sri Raghavan, Principal - Data Science and Analytics at AWS, while we were at #DataAISummit! ⤵️ 💙 AWS Partner Network 🎤 TheDataGiant

Robert Pack, Staff Developer Advocate at Databricks, explains the buzz around the integration of operational data into the analytical estate and the possibilities that bridging the gap unlocks! #DataAISummit 🎤 TheDataGiant

With the rise of edge computing adoption, more teams are tackling some of distributed computing's hardest challenges. What makes the edge so challenging? How is it changing the way we think about data? TheDataGiant answers these questions + more in @BigDATAWire:

"If you've got data in a streaming system, but now you have to do a larger amount of historical analysis or train your AI models [...], you need to have data in an analytical estate. [...] It's great that we can now merge these worlds together." Great talking to Kyle Weller, VP

That's a wrap on our #DataAISummit coverage! Thanks for having us, @Databricks. 💙 🎤 TheDataGiant

Learn how Confluent empowers Notion's engineers to create scalable, real-time AI applications. Ready to do the same? Get started on Confluent Cloud for free -> cnfl.io/44h832G

Better data = better AI. Join Confluent + AWS Partner Network to see how real-time event streams support RAG workflows and agent-based architectures with Amazon Bedrock. Register now for June 19 → cnfl.io/4n4MpX2

🚨Happening next week! On June 24th, our hands-on workshop will guide you through the fundamentals of stream processing and Apache Flink. Learn how to filter, join, and enrich streaming data within Confluent Cloud! → cnfl.io/3ZyEXJt

📣 NEW STREAMING FRONTIERS EPISODE #4: "Catching up with VS Code Join Viktor Gamov 🌟 as he navigates the final frontier of streaming development: Apache Flink® integration, GitHub Copilot for streaming, and revolutionary VS Code capabilities. Set phasers to streaming! 🖖 Stream it on

Apache Kafka® 101 is back! In this course, @TlBerglund dives into how Kafka treats data as events (not just things) and why that shift changes everything. Then we’ll explore how Kafka works under the hood to power real-time data at scale. Ready to get to know Kafka from the

Real-time data is quickly becoming the standard and data streaming platforms are leading the way. ➡️ 89% of IT leaders say DSPs are key to achieving their data goals ➡️ 44% are seeing 5x ROI ➡️ 64% are increasing investment this year In his latest blog, Andrew Sellers breaks

Unlike traditional AI models that respond to single prompts, AI agents can plan, reason, and execute multi-step tasks by interacting with tools, data sources, and even other agents. Sounds pretty abstract, doesn’t it? How does it all actually work? Find out in Adi Polak's

🔴 T-20m. I will see you at Confluent Developer YouTube channel

With Confluent Cloud and Amazon Bedrock, we’re making it easy to build scalable, generative AI-powered applications. Our data streaming platform lets you connect, process, and govern data in real time, so you can create reliable AI solutions that you can trust. Ready to get

Still running isolated Kafka projects? It’s time to scale smarter. Join our webinar to learn 5 tips for maturing your data streaming strategy, so you can move faster, innovate with AI, and create impact across the business. Register now for June 26 ➡️ cnfl.io/4e8zpvt

What if you could just ask your Kafka topic a question and get the answer in plain language? Many orgs rely on Apache Kafka® for real-time data, but not everyone is fluent in Flink SQL. That’s where AI assistants come in. In this demo, see how tools like Cursor and the Model