Rohit Vyas, Director, Solutions Engineering, Confluent India.
“India stands at a pivotal moment in its AI journey. The scale of our digital ecosystem offers a once-in-a-lifetime opportunity to shape the global data economy. But unlocking this potential depends on how quickly enterprises move beyond legacy systems and embrace real-time, event-driven data infrastructure.
India’s next phase of transformation is being shaped by more than just AI. It hinges on how quickly companies can process and act on data. From quick commerce to banking, enterprises are investing in systems that enable instant decisions, whether it’s fraud detection, dynamic pricing that responds to demand surges in real time, or delivery tracking that updates customers before they refresh the app.
At the same time, legacy modernisation remains one of the biggest roadblocks in the runway for AI, both in India and globally. A large part of enterprise data still sits in older systems, limiting how effectively it can be used.
AI, by design, needs continuous context. It does not work well on yesterday’s data. Organisations are now realising that modernisation is not just about moving systems, but about re-thinking how data flows across the enterprise in the moment, as events happen. That is where the real unlock lies: in building systems that can stream, connect and act on data. In real time.”
