Search Isn't Answers Anymore, It's Decisions

A common bottleneck for AI projects is data: its availability, quality, security, and accuracy among the top concerns. And today, just finding the data through search isn’t enough. The emergence of agentic AI has upped the ante for data systems: returning a list of products doesn’t cut it anymore. AI agents demand context, intent, and scale. Data retrieval “has evolved into a foundational platform for search, observability, analytics, and AI retrieval.” In this webinar from the Linux Foundation, a pair of experts will explore the new search paradigm that requires search to drive decisions, not just return results. Increasingly that means a hybrid approach to search that combines semantic and vector search capabilities. Tune in as our panel discusses:

● Why better search means understanding intent, not just adding more AI

● Search as a business product: measuring search against business outcomes, not traditional search metrics

● Owning the definition of hybrid: How to define a clear, honest definition organizations can hold any vendor to

● What's next: where enterprise search needs to get faster over the next 18 months