Data Summit 2026
Presentations for Download
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Stop Leaving It to Chance: How Adobe Ensures AI Gets the Facts Straight
As enterprises push AI deeper into mission-critical workflows, accuracy and compliance become nonnegotiable. A Model Context Protocol (MCP) connects AI models to verifiable external data sources in a way that AI understands. In this session, Adobe shares how its Taxonomy MCP and Content MCP now provide agents with governed, authoritative data, reducing risk while accelerating development. Our speakers cover the tools, patterns, and lessons learned, plus take a practical look at mapping taxonomy intents to LLM prompts to ensure consistent, verifiable outputs.
May 7th, 10:45am
Migrating from Hierarchies to a Graph: an Enterprise Case Study
A migration effort from a traditional RDBMS-based taxonomy management system to a graph-based environment opened the door for opportunities to consolidate existing vocabularies, eliminate duplicate concepts and attributes, and update the model into a richer semantic structure. Learn from experience of the work involved in such migrations, including the critical importance of preparation and testing, as well as considerations around modeling and potential disruptions to downstream consuming systems as a result of changes.
May 7th, 3pm