What to Expect at Solutions Review’s Spotlight with Promethium & BARC on January 29

Solutions Review’s Spotlight with Promethium and BARC is entitled: Break the Metadata Bottleneck to Drive Agentic AI and Contextual Insights.
What is a Solutions Spotlight?
Solutions Review‘s Solution Spotlights are exclusive webinar events for industry professionals across enterprise technology. Since its first virtual event in June 2020, Solutions Review has expanded its multimedia capabilities in response to the overwhelming demand for these kinds of events. Solutions Review‘s current menu of online offerings includes the Demo Day, Solution Spotlight, best practices or case study webinars, and panel discussions. And the best part about the “Spotlight” series? They are free to attend!
Why You Should Attend
Solutions Review is one of the largest communities of IT executives, directors, and decision-makers across enterprise technology marketplaces. Every year over 10 million people come to Solutions Review‘s collection of sites for the latest news, best practices, and insights into solving some of their most complex problems.
With the next Spotlight event, the team at Solutions Review has partnered with leading AI-powered data fabric provider Promethium.
Most organizations have experimented with conversational agents that promise insights on demand. But they struggle to achieve production-grade results. The reason: an inability to integrate metadata at scale for real-time, contextual answers to business questions.
This webinar examines three structural challenges behind that bottleneck: distributed datasets, heterogeneous environments, and rising expectations for true self-service analytics. We then outline architectural principles that dynamically integrate data, metadata, and analytics to guide wide-ranging business decisions.
Speakers
- Kevin Petrie, VP of Research at BARC
- Prat Moghe, CEO at Promethium
About
Promethium’s metadata management capabilities are built into its AI-driven Instant Data Fabric, which automates discovery, cataloging, and contextualization of data across distributed sources. It captures and unifies technical and business metadata (schemas, lineage, business definitions, usage patterns) to ensure consistent, explainable insights for both humans and AI systems. Metadata is enriched through automated classification, tagging, and learning from usage, and users can add annotations and business context.
FAQ
- What: The Metadata Bottleneck to Drive Agentic AI and Contextual Insights
- When: Thursday, January 29, 2026, at 12:00 PM Eastern Time
- Where: LinkedIn Live (see registration page for more detail)
