🚀 Join industry leaders from @AutoMQ_Lab and @Decodableco for an #ApacheIceberg #Meetup about the future of streaming and data lakehouses. ✅ Building #Kafka on #S3 - by @xinyubest.✅ CDC with #Flink & #Iceberg - by @sharon_rxie. 🔗 Register 👉 👈

RT @hpgrahsl: Always nice and a real pleasure to bump into fellow #Decoders . Met with @Decodableco's @sharon_rxie shortly before the #s….

AI models need more than raw data, they need real-time context. Decodable provides stateful stream processing to power LLMs and other AI systems so they can detect patterns across streams, maintain state across events, and respond to real-time business signals with precision.

Discover how @DrataHQ went from prototype to a production AI application in just two months with the help of @vellum_ai and Decodable. Watch the on-demand tech talk for the full story 👉

Get a deep dive into how integrating real-time data can elevate agentic AI systems to new levels of autonomy, intelligence, and efficiency. Learn how to harness real-time data, drive autonomous decision-making, and overcome common AI challenges. 👉

Join Kevin , Anita, and Sharon to learn how @DrataHQ is delivering real-time context with streaming data to enhance AI accuracy with the help of @vellum_ai and Decodable. Watch the on-demand tech talk for the full story 👉

It's time to transform how you handle real-time data. Join us for a virtual hands-on lab and we'll teach you how to:.💡 Stream Postgres changes to OpenSearch. 💡 Denormalize data for faster insights. 💡 Perform real-time joins with streaming SQL. Sign up here:

Discover how @DrataHQ went from prototype to a production AI application in just two months with the help of @vellum_ai and Decodable. Watch the on-demand tech talk for the full story 👉

True success with agentic AI depends on much more than just plugging in a language model. It requires a comprehensive approach that ensures AI decisions are informed, relevant, and actually helpful for your customers. @esammer explains the risks of agentic AI making things worse

Medidata moved thousands of siloed batch pipelines to a centralized, scalable platform powered by Flink. Watch the on-demand tech talk for the full story 👉

2025's biggest disruptor? Streaming > AI. @eric_kavanagh says streaming is more mature, with clearer use cases—and it could outpace AI in impact. Watch the tech talk to find out why 🎥

Discover how Medidata reduced latency, enabling their data consumers to access critical insights in minutes. Watch the on-demand tech talk for the full story 👉

Decodable simplifies the process of providing agentic AI with real-time data to keep vector databases updated, augment user prompts to LLMs with real-time context, and ensure AI outputs remain current and accurate. 👉

Together Decodable and @Vellum_AI enable you to build high-performance AI systems powered by real-time data streaming. 🎯 Vellum enables rapid development and deployment of AI solutions. 🎯 Decodable ingests and processes real-time data to provide vector databases with the

How does @DrataHQ process millions of events per day across thousands of isolated vector databases? By leveraging Decodable for real-time data ingestion and @Vellum_AI to rapidly experiment and validate AI features. Join our tech talk to learn more 👉

Not every workload demands constant processing. Our new Scale to Zero feature introduces intelligent job lifecycle management with automatic pausing and resuming to optimize costs while maintaining the responsiveness of your data pipelines. Learn more 👉

Explore your options for running a successful data infrastructure technology stack at scale in production, powered by the core open-source software projects Apache Flink and Debezium. 👉

Medidata leverages Decodable to continuously cleanse, transform, and format the data in Iceberg to provide gold-level data sets in real-time at scale. Watch the on-demand tech talk for the full story 👉

Join us at the Gartner Data & Analytics Summit for insights from Fidelity Investments' journey in building an event streaming platform, highlighting strategies and lessons learned to empower organizations to stay ahead in the evolving data landscape. Booth 830 #GartnerDA

How does @DrataHQ process millions of events per day across thousands of isolated vector databases? By leveraging Decodable for real-time data ingestion and @Vellum_AI to rapidly experiment and validate AI features. Join our tech talk to learn more 👉