Global Field CTO | Author | International Speaker | Follow me with Data in Motion
The Future of #DataStreaming with Apache Flink for #AgenticAI => My latest blog post: Agentic AI is moving from hype to production. These aren’t just reactive assistants. They are autonomous, goal-driven systems that need to operate on live data, interact with tools, and collaborate across protocols like #MCP and #A2A. In my latest blog post, I explore why Data Streaming with #ApacheKafka and #ApacheFlink provides the backbone for scaling Agentic AI. With Flink Agents (FLIP-531), Flink is evolving into a native runtime for always-on, system-triggered AI agents that can maintain memory, make real-time decisions, and integrate seamlessly with enterprise environments. This shift marks a turning point: moving beyond demos and prototypes toward enterprise-ready, event-driven #AgenticAI. It’s the same playbook that turned #microservices from theory into scalable production systems—powered by a robust, decoupled backbone. The future of AI is not batch-driven or manually orchestrated. It’s event-driven, contextual, and continuous. And Flink is positioning itself at the center of this transformation. https://lnkd.in/e4D7rb7h
This is the kind of transformation that makes every “AI agent” PowerPoint from last year look suddenly outdated. Forget batch jobs—real agentic AI means streaming, reacting, and coordinating in real time, all thanks to frameworks like Flink taking center stage. If you're looking to bridge that gap between smart agents and seamless action, https://www.chat-data.com/ brings plug-and-play automation for event-driven use cases. From API-triggered workflows to dynamic conversation memory and live, multi-modal engagement, it’s built for businesses ready to move past demos and get real results from autonomous agents—no manual orchestration required.
GSI Partner Leader - India
2moVijay Krishnan Gopalakrishnan - Interesting read