Enterprises need faster decisions and better customer experiences, yet shifting priorities, data silos, legacy systems, and unclear ROI keep slowing progress. The critical enabler is real-time data—delivered with low latency, high reliability, and scalability—to fuel both AI, and applications.

Join guest speaker Noel Yuhanna (VP & Principal Analyst, Forrester), and Ashish Sahu (Head of Product Marketing, Hazelcast) for a presentation and demo on making real-time data practical. We’ll cut through buzzwords, share field-tested patterns, and outline modernization approaches that shrink time-to-action from minutes to milliseconds—without risky big-bang rewrites.

We’ll address:

• How the market and vendors define “real-time” today
• The most common bottlenecks to extracting real-time value from data
• Where real-time data fits in modern AI, and applications—and how this differs from past approaches
• How to deliver a real-time experience across continents while managing sovereignty, consistency, and control

Who should attend: Data, platform, and application leaders, and architects seeking actionable guidance to modernize data architectures and reliably power AI and high-impact apps with real-time data.