Event overview
Join senior investment, operations, technology, and data leaders at the Rimes Innovation Forum NYC to explore how firms are building AI-ready data foundations that accelerate insight and decision-making. Through executive perspectives, industry discussion, and a live demonstration, the forum will examine the practical challenges of modernizing investment operations.
Topics will include:
- Overcoming fragmented data and technology environments
- Improving data quality, transparency, and control across siloed environments
- Meeting evolving client and regulatory requirements
- Building scalable operating models that connect trusted data with portfolio intelligence to support AI adoption
The program will close with cocktails, networking, and demonstrations, giving attendees a chance to continue the conversation with peers and Rimes experts.
Chief Revenue Officer, Rimes
President and Chief Executive Officer, Rimes
A strategic perspective on the evolution of the Rimes Intelligence Fabric and how investment organizations can create connected data foundations that improve decision-making, strengthen governance, and support AI adoption.
Panelists to be announced.
Industry leaders will discuss the realities of managing fragmented data environments, responding to rising client and regulatory expectations, breaking down organizational silos, and creating scalable operating models that improve efficiency, transparency, and investment performance.
Participants to be announced.
A candid discussion on the organizational, operational, and technology priorities shaping AI adoption across the investment industry.
Enterprise Sales Engineer, Rimes
A brief showcase of how firms can connect trusted data, portfolio intelligence, and operational workflows to create more efficient and scalable investment processes.
President and Chief Executive Officer, Rimes
How a total portfolio view drives better investment decisions
*All registrations are subject to approval and acceptance is not guaranteed.
Join us in New York
Connect with investment industry peers and explore practical approaches to building the trusted, connected data foundations needed to support innovation, operational transformation, and AI adoption.