Sponsored by: Atlan | Mastercard's "Context by Design": Engineering AI-Ready Data Products at Scale
Overview
| Experience | In Person |
|---|---|
| Track | Governance & Security |
| Industry | Healthcare & Life Sciences, Manufacturing, Financial Services |
| Technologies | Data Marketplace, AI/BI |
| Skill Level | Intermediate |
At Mastercard, trust has always been the product. For six years, that trust has been engineered in layers: privacy by design, then data by design, and now context by design. Each evolution built on the last. Now, as AI agents begin transacting at the speed of commerce, the latest layer matters most — an Enterprise Context Layer, built on Databricks, that machines can read, reason over, and act on without human intervention at every step. Join Fabien Thiaucourt and Vivek Radhakrishnan of Mastercard, and Austin Kronz of Atlan, to learn how engineering and enablement co-own context as a dual mission (and why the productive tension between them is the reason governance actually sticks), how automated metadata and human-centered product thinking combine to build AI-ready data products on Databricks, and how this foundation sets the stage for text-to-SQL and conversational search — and every AI use case that follows.
Session Speakers
Austin Kronz
/Director of Data and AI Strategy
Atlan