Now in its second year, the AI in Data Management Summit NYC explores what changes when AI becomes part of the data management operating model.  Join data leaders from across capital markets to learn how firms are using AI to improve data quality, governance and lineage and how to make sure AI uses trusted and governed data for reusable data products.  Every session is built around live deployments: what was deployed, what data it depended on, what controls were kept and what changed for the business.

Topics:

• Where AI is delivering real ROI, and the data that makes it work
• Can vs. should: putting AI where it grows the business
• AI in data quality and governance: smarter rules, proactive controls and explainable decisions
• Delivering business value with automated data lineage
• Building context for AI: data catalogs, semantic layers and trusted data
• Case study: AI in production today
• Putting AI and agents to work safely: access, controls and accountability
• From AI-ready data to data products: turning governed data into business value

Roundtable discussions on:

• AI-driven data quality and observability
• Building the AI-native data team: skills, productivity tools and adoption
• Build vs buy: choosing AI platforms and models
• FinOps for AI: tracking, charging and forecasting AI spend
• Governing unstructured data with AI

Please note this event is being run under Chatham House Rules.