The AI Context Layer by Arch Data Network

“Context grounds AI in operational reality, allowing more accuracy, reliability and trust. Data shows what happened, but context explains why. Without context, AI remains capable in isolation and unreliable in practice.” — Kerry Brown, Transformation Evangelist at Celonis and Forbes Technology Council member

So, let’s talk about the AI context layer! Register Now for the next Arch Data Network Event for an expert discussion on one of the biggest blockers to getting real value from AI: context. We’ll dig into what an “AI context layer” actually is, how a business starts building one, how you govern it, and how you deal with garbage and missing data along the way — and why getting this right is what finally lets AI deliver better insights and outcomes.

Hear how Slalom, Charter, and Databricks are each working on various projects to build out effective AI context layers and the lessons they’re learning across different industries and types of business environments. Then share your own journey and/or questions.

Jonas Malave Campos (Slalom – AI / Data Consultant) and Mike Champlin (Charter – Principal Data Strategist) will share lessons from Charter’s recent AI journey.

We’ll also have Chris Gabriel (Databricks – Global Adoption Lead for Unity Catalog) share best practices for thinking about what an Enterprise Context Layer contains and the concepts required to build one, regardless of the technologies you use.

We’ll also share updates from the January Civic Hackathon. Which solutions are making their way forward in collaboration with Civic City, TechSTL, and the City of St. Louis? What are those teams up to? What have they accomplished and what challenges are they facing? Maybe there’s a way for you to contribute!