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 Innovation Keynote: Unlocking the power of AI for data driven innovation, business growth and efficiencies at BNY
Eric Hirschhorn, Chief Data Officer, BNY
CDO Panel: How to build a data strategy for AI, to mitigate risk and gain business value
Moderator: Julia Bardmesser, Adjunct Professor; NYU Stern School of Business; Founder and CEO, Data4Real
Yinghua Michelle Zhou, Chief Data Officer, Nuveen
Jennifer Courant, Chief Data Officer, DWS Group
Eric Chacon, VP of Data, Hometap
Keynote: Leveraging modern financial data platforms for digital transformation
Modern financial data platforms can help accelerate and future proof the digital transformation of many core investment management operations. Join this session to hear more about:
Mahesh Narayan, Institutional Asset Management Segment Head, Arcesium
Morning Break and Networking with Sponsors
Keynote: Transforming data management and data governance with GenAI and LLMs
Peter Ku, VP, Chief Industry Strategist, Banking, Capital Markets, Financial Services, Informatica
Panel: Designing for the future – How to simplify and modernize data architecture to unleash data value and innovation
Moderator: Brian Buzzelli, Head of Data Practice, Meradia
Victor Dituro, Global Investment and Risk Data Lead, J.P. Morgan Asset Management
CJ Jaskoll, Chief Technology Officer, Russell Investments
Mahesh Narayan, Institutional Asset Management Segment Head, Arcesium
Peter Ku, VP, Chief Industry Strategist, Banking, Capital Markets, Financial Services, Informatica
Christopher Farrell, Head of US and Head of Global Strategy, FINBOURNE Technology
Panel: How to set up a data products strategy to deliver business value
Moderator: Elena Alikhachkina, Chief Data Officer & Industry Advisor
Andrew Foster, Chief Data Officer, M&T Bank
JC Lionti, MD and Chief Data Officer, Mizuho Americas
Brian Greenberg, Senior Director – Business Engagement Lead for Enterprise Data Management, BNY
Dr. Leslie Kanthan, CEO and Co-Founder, TurinTech AI
Peter Baljet, Chief Technology Officer, Stonebranch
Lunch & Networking with Sponsors
Keynote: Accelerating financial software runtime using GenAI-powered code optimization tools
Dr. Leslie Kanthan, CEO and Co-Founder, TurinTech AI
Panel: Best practice approaches to self service analytics to empower users and unlock data democratization
Moderator: Adrian Sharp, Editor, A-Team Group
Ellen Gentile, Enterprise Data Quality Team Leader, Edward Jones
Arvind Joshi, Head of Data Governance & Analytics, Rockefeller Capital Management
Adam Houhoulis, VP/Director, Data Management Office, Federal Home Loan Bank of New York
Keynote: Peter Baljet, Chief Technology Officer, Stonebranch
Afternoon break and sponsor networking
Panel: Best practice approaches to data management for regulatory reporting
Moderator: Dessa Glasser, Independent Board Member, Oppenheimer & Co.
Jehangir Abdulla, Head of Back Office Development, Schonfeld Strategic Advisors LLC
Brett Utnick, Head of Regulatory Operations, BMO Financial Group
John Carroll, Chief Operating Officer, Datactics
Catherine Sutcliffe, Regulatory Affairs Director, DSB
Panel: Towards data intelligence – how to organize, integrate and structure data for successful AI
Moderator: Julia Bardmesser, Adjunct Professor; NYU Stern School of Business; Founder and CEO, Data4Real
Sumanda Basu, Head of Data Quality, Risk, Controls & Data Domain Lead, Societe Generale
Linda Zhang, Executive Director, Commercial & Investment Bank – Data and Analytics Technology, JP Morgan Chase
Theo Bell, Head of AI Product, Rimes
Networking drinks and Data Management Insight Awards Ceremony
Now in its 14th 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.