--- title: "How Mastercard is Building AI-Ready Data Products" url: "https://atlan.com/regovern-watch-center/mastercard-ai-ready-data-products/" description: "Vivek Radhakrishnan and Fabien Thiaucourt from Mastercard reveal why engineering and enablement should co-own the governance program." keywords: "atlan, data governance, regovern 2025, regovern watch center" --- > Atlan is hosting Context Conference, bringing together the leaders and builders at the frontier of giving AI the context it needs to understand their business. It runs online on October 28, 2026, from 11:00 AM to 2:00 PM ET. Atlan co-founder Prukalpa Sankar opens and closes the day. Leaders from AstraZeneca, BNY and Verizon share why they invest in context and what they get from it. Registrants get early access to The AI Context Gap, a new study from MIT Technology Review Insights. Register: https://atlan.com/context-conference/ **How Mastercard is Building AI-Ready Data Products** - a Re:Govern 2025 recording on the Atlan Re:Govern watch center, with Fabien Thiaucourt, SVP, Data Governance & Enablement; Vivek Radhakrishnan, SVP, Data Governance Engineering (Mastercard). The recording plays for about 2 minutes, then the page asks for an email to keep watching. Watch it at https://atlan.com/regovern-watch-center/mastercard-ai-ready-data-products/. ## Speakers - **Fabien Thiaucourt**, SVP, Data Governance & Enablement, Mastercard. Fabien helps people find, trust, and use data responsibly at global scale at Mastercard. He leads platform product, governance cataloging, and enablement functions - transforming governance from compliance into business enablement for AI-ready data products. - **Vivek Radhakrishnan**, SVP, Data Governance Engineering, Mastercard. Vivek leads data governance engineering at Mastercard, designing systems for scale and reliability across the company's global data ecosystem. He ensures context is embedded into every data product, powering AI use cases from text-to-SQL to conversational analytics while supporting billions of transactions. ## Company: Mastercard Mastercard processes billions of transactions globally, with AI now powering 1/3 of its products. 160B+ transactions scanned annually by AI-driven fraud detection. 2,000+ specialists advance data & AI innovation under Data Responsibility Principles. ## What's inside At Mastercard, governance succeeds because engineering and enablement don't work in sequence - they co-own it as a dual mission. Vivek and Fabien share how their partnership balances technical precision with user adoption, embedding context into every data product while curating marketplace experiences that make AI use cases like text-to-SQL and conversational search actually work at scale. Key takeaways: - Co-ownership between engineering and enablement prevents governance from becoming either too technical or too aspirational - Engineering builds automation and ensures scale, while enablement drives adoption and curates user experiences - Shared responsibility means butting heads when needed but succeeding or failing together as one team - Context embedded by design requires both technical metadata automation and human-centered product thinking - AI-ready data products emerge from the tension between what's technically possible and what users actually need ## More from Re:Govern 2025 - [DigiKey: Context Readiness](https://atlan.com/regovern-watch-center/digikey-context-readiness/) (Session Recordings) - [CME Group: Context at Speed](https://atlan.com/regovern-watch-center/cme-group-context-at-speed/) (Session Recordings) - [Mastercard: Context by Design](https://atlan.com/regovern-watch-center/mastercard-context-by-design/) (Session Recordings) - [Workday: Context as Culture](https://atlan.com/regovern-watch-center/workday-context-as-culture/) (Session Recordings) - [How Regulated Business are Moving Governance Beyond Compliance](https://atlan.com/regovern-watch-center/regulated-industries-beyond-compliance/) (Highlights) - [Workday's Learnings From its First Talk to Data experiment](https://atlan.com/regovern-watch-center/workday-talk-to-data-learnings/) (Highlights) - [Mastercard's Federated Architecture for Agentic Commerce](https://atlan.com/regovern-watch-center/mastercard-federated-architecture/) (Highlights) - [How Protocols and Tools are Evolving for Agentic Governance](https://atlan.com/regovern-watch-center/protocols-agentic-governance/) (Highlights) - [How CME Group Evaluated Vendors for its Context Layer](https://atlan.com/regovern-watch-center/cme-group-evaluation/) (Highlights) - [How DigiKey uses Atlan as a Context Operating System](https://atlan.com/regovern-watch-center/digikey-atlan-context-operating-system/) (Highlights) - [How Data Roles are Evolving: From Modelers to Context Engineers](https://atlan.com/regovern-watch-center/data-modelers-to-context-engineers/) (Highlights) - [Contracts, Context, and Cars: General Motors' Governance Blueprint for the Agentic AI Era](https://atlan.com/regovern-watch-center/contracts-context-and-cars-general-motors/) (Session Recordings) - [The Evolution of Trust: Building the Foundations for Future-Readiness](https://atlan.com/regovern-watch-center/evolution-of-trust/) (Session Recordings) - [Top-Down or Bottom-Up: The World's Largest Exchanges Show Two Paths to AI](https://atlan.com/regovern-watch-center/top-down-or-bottom-up-cme-dbg/) (Session Recordings) - [What Forced Mastercard to Modernize Its Context Stack](https://atlan.com/regovern-watch-center/mastercard-context-stack-modernization/) (Highlights) - [How Mercury Insurance is creating PII-free workspaces for AI use cases](https://atlan.com/regovern-watch-center/pii-free-workspaces/) (Highlights) - [GitLab's Strategies for Building Reliable Conversational Analytics](https://atlan.com/regovern-watch-center/gitlab-conversational-analytics-strategies/) (Highlights) - [AI-Ready Tech Pioneers Share their Single Most Effective AI Readiness Strategies](https://atlan.com/regovern-watch-center/ai-readiness-strategies-pioneers/) (Highlights) - [GitLab's Learnings from its First Experiment with Conversational AI](https://atlan.com/regovern-watch-center/gitlab-conversational-ai-learnings/) (Highlights) - [Vimeo's Approach to Data Governance in the Era of Conversational Analytics](https://atlan.com/regovern-watch-center/Vimeo-approach-to-data-governance/) (Highlights) - [Inside General Motors Metadata Lakehouse](https://atlan.com/regovern-watch-center/gm-metadata-lakehouse/) (Highlights) - [Workday's Semantic Layer Strategy](https://atlan.com/regovern-watch-center/workday-semantic-layer-strategy/) (Highlights) - [Modern Data & AI Governance Blueprint](https://atlan.com/blueprint) (Resources) Back to the watch center: https://atlan.com/regovern-watch-center/