--- title: "Top-Down or Bottom-Up: The World's Largest Exchanges Show Two Paths to AI" url: "https://atlan.com/regovern-watch-center/top-down-or-bottom-up-cme-dbg/" description: "Leaders from CME Group and Deutsche Boerse reveal how two radically different governance approaches converge on delivering context for AI readiness." 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/ Re:Govern 2025 session recording from Atlan's [Re:Govern watch center](https://atlan.com/regovern-watch-center/): **Top-Down or Bottom-Up: The World's Largest Exchanges Show Two Paths to AI**. Leaders from CME Group and Deutsche Boerse reveal how two radically different governance approaches converge on delivering context for AI readiness. Speakers: Mira Boteva (VP, Lead Product Manager, Metadata Management, Deutsche Boerse); Shraddha Sharma (VP of Project Management, Data Governance, Deutsche Boerse); Zenul Pomal (Executive Director, Core Data Platform & Enterprise Architecture, CME Group). Watch: the recording plays on the page, and continuing past the preview requires an email - [watch at https://atlan.com/regovern-watch-center/top-down-or-bottom-up-cme-dbg/](https://atlan.com/regovern-watch-center/top-down-or-bottom-up-cme-dbg/). ## Speakers - **Mira Boteva**, VP, Lead Product Manager, Metadata Management, Deutsche Boerse. Mira leads the strategic implementation of enterprise metadata across the exchange group. She's building API platforms and marketplaces that democratize data discovery. - **Shraddha Sharma**, VP of Project Management, Data Governance, Deutsche Boerse. Shraddah architects bottom-up governance across a complex financial group. She's embedding ownership, stewardship, and culture across distinct business entities - demonstrating that federated models can deliver trust at exchange speed. - **Zenul Pomal**, Executive Director, Core Data Platform & Enterprise Architecture, CME Group. Zenul architects top-down governance automation at the world's largest derivatives exchange. He's standardizing metadata, automating lineage, and building BigQuery-based infrastructure where trust and compliance operate at nanosecond speed through centralized automation. ## Companies - **CME Group**: CME Group operates the world's largest derivatives marketplace, processing 30.2M contracts on average every day. A decade-long Google Cloud journey powers AI-ready, governed infrastructure at the speed and scale global markets demand. - **Deutsche Boerse**: Europe's 3rd-largest exchange, Deutsche Boerse operates 30+ trading venues processing EUR 1.3T annually. Their multi-cloud architecture on Google Cloud, Azure, and Databricks enables AI-driven fraud surveillance, unlocks digital trading ecosystems, and delivers real-time analytics where milliseconds determine billions. ## What's inside CME Group automates lineage and standardizes metadata at incredible speed with a top-down approach, while Deutsche Boerse federates teams and builds trust domain by domain from the bottom up. Despite opposite paths, both exchanges prove that governance must adapt to organizational DNA while delivering the same outcome: AI-ready data ecosystems that balance speed with compliance in heavily regulated, time-sensitive environments. Key takeaways: - Top-down governance sprints through automation, standardization, and centralized integration at enterprise speed - Bottom-up governance federates ownership, balances compliance with analytics, and builds trust progressively by domain - Both approaches converge on the same goal: context at market speed that enables AI while meeting regulatory requirements - Governance programs must adapt to organizational DNA - there's no universal playbook, only adaptable patterns - Flexibility in governance design determines whether AI-ready ecosystems succeed in highly regulated environments ## 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) - [How Regulated Business are Moving Governance Beyond Compliance](https://atlan.com/regovern-watch-center/regulated-industries-beyond-compliance/) (highlight) - [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) - [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) Talk to Atlan: [book a demo](https://atlan.com/forms/talk-to-sales-contact/) or [see the product tour](https://atlan.com/demo/).