What does it really take to turn a fragmented semantic landscape into governed, AI-ready context—and what can that unlock for a business?
Adobe’s own 2026 AI and Digital Trends research found 75% of organizations cite data integration and quality as the top obstacle to AI.
Join Factor and TopQuadrant on for a candid conversation on Aug. 20 exploring how Adobe closed that gap within its own walls, moving from manual systems to validated, semantic models that are automatically available to both humans and AI.
Adobe paired Factor’s taxonomy and ontology expertise and TopQuadrant’s context management platform to deliver product and feature taxonomies that serve as the authority for internal and external product support.
Using this real-world migration as a case study, Factor’s Connor Cantrell, Adobe’s Rachael Maddison, and TopQuadrant’s Jesse Lambert will walk through the business journey behind the shift.
You’ll learn:
– How a “better together” approach pairing deep taxonomy expertise with a purpose-built platform helps teams move faster, reduce costs, and set themselves up for what’s next.
– How to advocate for your team by linking AI automation to business outcomes such as accelerated product delivery and reduced costs.
– How Adobe was able to organize disparate product knowledge into a governed, contextual knowledge graph.
Register today – we hope to see you there.