--- title: "How regulated business are moving governance beyond compliance" url: "https://atlan.com/regovern-watch-center/regulated-industries-beyond-compliance/" description: "Leaders from Group 1001, Mercury Insurance, and New York Life explain how governance evolves beyond compliance." 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 Regulated Business are Moving Governance Beyond Compliance** is a Re:Govern 2025 session video in the Atlan Re:Govern watch center. Leaders from Group 1001, Mercury Insurance, and New York Life explain how governance evolves beyond compliance. Watch it at https://atlan.com/regovern-watch-center/regulated-industries-beyond-compliance/ (email required to keep watching). All sessions: https://atlan.com/regovern-watch-center/ ## Speakers - **Ashish Bisht**, Sr. Manager, Data Governance, Mercury Insurance. Leading data governance initiatives at Mercury Insurance, Ashish is creating PII-free, high-quality workspaces that make AI governance automatic rather than manual. Through AI-enabled classification and quality tools, he's proving that the fastest path to responsible AI is intelligent automation. - **Rahul Bakhshi**, VP, Data & Technology, New York Life. Rahul governs data for New York Life, a 180-year-old institution built on trust. He's modernizing that foundation with AI-powered classification, automated quality checks, and governance designed to enable 12,000+ agents. His mandate: protect what matters while accelerating business value through responsible AI. - **Gu Xie**, Head of Data, Group1001. Gu leads data strategy at Group1001 with a dual mandate: protect customer data while enabling AI-driven productivity. In a company founded in 2013, he's building governance frameworks from the ground up that prove compliance and innovation aren't opposing forces in modern insurance operations. ## Companies - **Group1001**: Founded 2013, Group1001 scaled to $72.9B through a data & AI stack built on Snowflake, Fivetran, and Atlan, enabling them to launch innovative annuity products and deploying enterprise-scale gen AI across life, annuity, and property-casualty lines. - **Mercury Insurance**: With 4,300 employees and 63 years serving California, Mercury Insurance ($5.5B revenue) is rebuilding data foundations for AI. Their approach: use AI to classify sensitive data and build high-quality AI workspaces. - **New York Life**: With $1.2T in life insurance and $808B in assets under management, New York Life isn't just America's largest mutual insurer - they're building cloud-first AI infrastructure that transforms 180 years of data into customer experiences that drive revenue. ## What's inside Data scientists constantly ask "where's the data?" - and that question reveals governance's new role. Instead of just protecting through compliance, governance enables outcomes by cataloging assets, identifying owners, automating access with anonymization, and moving teams from discovery to experimentation in minutes. AI helps accelerate this shift by writing definitions, building quality checks, and making self-service data quality possible. ### Key takeaways - The limiting factor for phenomenal AI ideas is serving and delivering data quickly and safely - governance solves both simultaneously - Governance as enabler means cataloging assets, identifying owners, automating access requests, and classifying risk automatically - AI-aided governance accelerates traditional work: writing definitions, building quality checks, and creating self-service validation monitors - Time to market shrinks when data science, analytics, product, and research teams get datasets faster through automated governance - Good governance impact shows everywhere: analysts stop searching for hours, leaders trust insights for decisions, tech teams stop debugging hallucinations ## More from Re:Govern 2025 - [DigiKey: Context Readiness](https://atlan.com/regovern-watch-center/digikey-context-readiness/) (session recording) - [CME Group: Context at Speed](https://atlan.com/regovern-watch-center/cme-group-context-at-speed/) (session recording) - [Mastercard: Context by Design](https://atlan.com/regovern-watch-center/mastercard-context-by-design/) (session recording) - [Workday: Context as Culture](https://atlan.com/regovern-watch-center/workday-context-as-culture/) (session recording) - [Workday's Learnings From its First Talk to Data experiment](https://atlan.com/regovern-watch-center/workday-talk-to-data-learnings/) (highlight) - [Mastercard's Federated Architecture for Agentic Commerce](https://atlan.com/regovern-watch-center/mastercard-federated-architecture/) (highlight) - [How Protocols and Tools are Evolving for Agentic Governance](https://atlan.com/regovern-watch-center/protocols-agentic-governance/) (highlight) - [How CME Group Evaluated Vendors for its Context Layer](https://atlan.com/regovern-watch-center/cme-group-evaluation/) (highlight) - [How DigiKey uses Atlan as a Context Operating System](https://atlan.com/regovern-watch-center/digikey-atlan-context-operating-system/) (highlight) - [How Data Roles are Evolving: From Modelers to Context Engineers](https://atlan.com/regovern-watch-center/data-modelers-to-context-engineers/) (highlight) - [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 recording) - [How Mastercard is Building AI-Ready Data Products](https://atlan.com/regovern-watch-center/mastercard-ai-ready-data-products/) (session recording) - [The Evolution of Trust: Building the Foundations for Future-Readiness](https://atlan.com/regovern-watch-center/evolution-of-trust/) (session recording) - [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 recording) - [What Forced Mastercard to Modernize Its Context Stack](https://atlan.com/regovern-watch-center/mastercard-context-stack-modernization/) (highlight) - [How Mercury Insurance is creating PII-free workspaces for AI use cases](https://atlan.com/regovern-watch-center/pii-free-workspaces/) (highlight) - [GitLab's Strategies for Building Reliable Conversational Analytics](https://atlan.com/regovern-watch-center/gitlab-conversational-analytics-strategies/) (highlight) - [AI-Ready Tech Pioneers Share their Single Most Effective AI Readiness Strategies](https://atlan.com/regovern-watch-center/ai-readiness-strategies-pioneers/) (highlight) - [GitLab's Learnings from its First Experiment with Conversational AI](https://atlan.com/regovern-watch-center/gitlab-conversational-ai-learnings/) (highlight) - [Vimeo's Approach to Data Governance in the Era of Conversational Analytics](https://atlan.com/regovern-watch-center/Vimeo-approach-to-data-governance/) (highlight) - [Inside General Motors Metadata Lakehouse](https://atlan.com/regovern-watch-center/gm-metadata-lakehouse/) (highlight) - [Workday's Semantic Layer Strategy](https://atlan.com/regovern-watch-center/workday-semantic-layer-strategy/) (highlight) - [Modern Data & AI Governance Blueprint](https://atlan.com/blueprint) (resource)