Master data management is evolving beyond golden records toward delivering semantically rich Data Products that serve business teams, applications, and AI agents equally. In this session, we’ll show how the Semarchy Data Platform evolves MDM into a modern data product platform that is faster to deliver, easier to scale, and ready for consumption across the enterprise. 

You’ll see how Semarchy uses a DataOps approach to manage the complete lifecycle of Data Products, from design through deployment, operations, and evolution — incorporating governance, AI data engineering, and consumption patterns that serve humans and AI equally. 

You’ll see demos showcasing how to: 

• Design and deliver trusted data faster — move from requirements to usable data quickly using modern, collaborative data engineering practices 
• Accelerate development with AI — generate data models, business rules, and workflows directly from intent, reducing manual effort 
• Serve both business users and AI systems — deliver governed data through intuitive applications for users and structured, context-rich access for AI 
• Enable self-service without losing control — make data easy to discover and use while maintaining quality, governance, and transparency 

Whether you’re modernizing MDM, scaling delivery to meet AI demand, or ensuring AI agents consume governed data with understanding, this session shows how to deliver trusted, usable data faster so both your business and your AI can move at speed. 

Speaker: Craig Gravina 

Craig leads technology innovation at Semarchy.  He brings over twenty years of experience leading software development and is an innovator in SaaS and AI driven solutions. Previously, he was CTO at Abbeo Health and SPRIM Ventures. 

Website: https://semarchy.com/