Data Management Summit New York City
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Registration and Networking with Sponsors
Opening & Welcome
Andrew Delaney, President & Chief Content Officer, A-Team Group
Practitioner Keynote Fireside Chat: Beyond the hype – what does it mean to be AI-First?
Interview with: Stephanie Zhang, MD, Head of Enterprise AI & Data Governance Products, JP Morgan
Interviewed by: Julia Bardmesser, Adjunct Professor; NYU Stern School of Business; Founder and CEO, Data4Real
C-Level User Panel: Demonstrating business value from data and AI
As enterprises scale AI initiatives, CDOs are under pressure to prove value, avoid costly pitfalls, and align efforts with business outcomes. This panel will explore what it takes to deliver impact from strategy to execution.
Moderator: Peggy Tsai, Executive Director, JP Morgan
JC Lionti, MD, Chief Data Officer, Mizuho Americas
Vanessa Jones-Nyoni, Chief Data Officer North America, Commerzbank
CJ Jaskoll, Chief Technology Officer, Russell Investments
Keynote: Informatica
Morning Break and Networking with Sponsors
Keynote: IBM
Panel: How to ensure high quality and trusted data for AI
Moderator: John Bottega, President, EDM Council
Ellen Gentile, Enterprise Data Quality Team Leader, Edward Jones
Manal Alimari, Executive Director – Head of Enterprise Data Governance and Transformation, SMBC
Eugene Coakley, Data Engineer, Datactics
Representative from Context Analytics
Panel: Agentic AI and autonomy in the future of data management
Moderator: Marla Dans, Senior Data Executive
Brian Greenberg, Senior Director & Data Operating Model Lead, Bank of New York
Tyler Frieling, Director of Enabling & Emerging Technology, Blackrock
Lunch & Networking with Sponsors
Keynote:
Panel: Building and scaling data products and marketplaces to deliver ROI at scale
Andrew Foster, Chief Data Officer, M&T Bank
Kristi Baishya, AVP, Data & AI Product Management, Nomura Holding America, Inc.
Panel: Building the next generation data architecture and intelligent data ecosystem
Moderator: Brian Buzzelli, Head of Data Practice, Meradia
Jehangir Abdulla, Head of Back Office Development, Schonfeld
Steven O’Bott, Chief Data Architect, Vanguard
Patrick Mahoney, Enterprise Sales Engineer, Rimes
Afternoon break and sponsor networking
Keynote
Panel: Managing the regulatory reporting new normal – the data management response
Moderator: Dessa Glasser, Independent Board Member, Oppenheimer & Co
Tamara Roust, Senior Policy Advisor for AI Cyber Security & Privacy, Deputy Chief Data Officer, US Treasury Dept, Office of Financial Research (OFR)
Akhil Khunger, VP Quantitative Analytics, Barclays
Networking drinks and Data Management Insight Awards Ceremony
The Data Licensing Forum will explore industry trends, themes and specific developments relating to licensing of financial market data from Exchanges and Data Vendors.
Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.
The AI in Capital Markets Summit will explore current and emerging trends in AI, the potential of Generative AI and LLMs and how AI can be applied for efficiencies and business value across a number of use cases, in the front and back office of financial institutions. The agenda will explore the risks and challenges of adopting AI and the foundational technologies and data management capabilities that underpin successful deployment.
The ESG Data & Tech Briefing will explore challenges around assembling and evaluating ESG data for reporting and the impact of regulatory measures and industry collaboration on transparency and standardisation efforts. Expert speakers will address how the evolving market infrastructure is developing and the role of new technologies and alternative data in improving insight and filling data gaps.
The AI in Capital Markets Summit will explore current and emerging trends in AI, the potential of Generative AI and LLMs and how AI can be applied for efficiencies and business value across a number of use cases, in the front and back office of financial institutions. The agenda will explore the risks and challenges of adopting AI and the foundational technologies and data management capabilities that underpin successful deployment.