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Mastercard uses Databricks Unity Catalog as a core governance safeguard for its generative AI and RAG initiatives, applying a human-in-the-loop review process and an established AI governance program to extract value from enterprise data for personalization and fraud prevention across more than 173 billion annual transactions in over 210 countries.
Overview
Mastercard uses Databricks Unity Catalog as a core governance safeguard for its generative AI and RAG initiatives, applying a human-in-the-loop review process and an established AI governance program to extract value from enterprise data for personalization and fraud prevention across more than 173 billion annual transactions in over 210 countries.
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Inspect the highlighted sourceThe challenge
Mastercard needed to extract more value from enterprise data for personalization, tool efficiency and fraud prevention across its global network while ensuring data responsibility and ethical AI use.
The solution
Mastercard manages risk through an established AI governance program, data responsibility controls and a human-in-the-loop process in which outputs are reviewed before implementation, using Databricks Unity Catalog as a key safeguard and control tool, and takes a hands-on, learn-by-doing approach to retrieval augmented generation (RAG) by building capabilities internally and deploying technology mindfully.
Reported business value
Mastercard leverages technology and AI to process more than 173 billion transactions annually across more than 210 countries, with Unity Catalog maintaining executive-level data governance across its core transaction-processing activity.
Sources
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This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)
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