Modernizing Real-Time Data to Power AI and Apps
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 dataโdelivered with low latency, high reliability, and scalabilityโto 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. Weโll cut through buzzwords, share field-tested patterns, and outline modernization approaches that shrink time-to-action from minutes to millisecondsโwithout risky big-bang rewrites.
Weโll address:
- How the market and vendors define โreal-timeโ today
- The most common bottlenecks to extracting real-time value from data
- Where real-time data fits in modern AI, and applicationsโand 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.
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