What Modern Data Infrastructure Looks Like in the AI Era

As AI moves from pilot to production, infrastructure gaps become harder to ignore. Performance bottlenecks slow data delivery. Fragmented environments complicate governance. Poor workload placement increases cost, risk, and operational complexity. The question is no longer whether to modernize. It is where to start without creating another disruptive transformation project. Join Simon Robinson, Chief Analyst - Omdia, and Andy Gremett, Senior Product Marketing Manager - Hitachi Vantara, for a practical discussion based on recent data-modernization research. You will learn how to identify your most urgent infrastructure constraint, make more intentional workload-placement decisions, and build a modernization plan that delivers measurable value in manageable steps. In this webinar, you'll learn how to: • Prepare data infrastructure for production AI • Place workloads where they perform best • Balance cost, control, and resilience • Identify the right place to start modernization • Apply a practical five-step modernization framework