In today's challenging environment, financial institutions face relentless pressure to cut costs while maintaining peak performance and strict compliance. Discover how Agentic AI, a revolutionary class of autonomous, goal-oriented AI systems, can be your ultimate force multiplier.
This webinar goes beyond theory to explore how Agentic AI drives tangible cost containment by automating critical back-office decisions, optimizing infrastructure usage and minimizing manual oversight. Agentic systems offer a new paradigm in streamlining banking services. We’ll examine real-world use cases, discuss essential architectural considerations, and governance strategies to ensure safe, secure and scalable deployment, without adding complexity. If you are exploring ways to unlock measurable cost savings while staying ahead of the AI curve, this is the session you don’t want to miss.
Why Attend?
- Stay Ahead of the Competition: Agentic AI is set to reshape how customers and employees interact with financial services and how work gets done on their behalf. Understand the trajectory before it becomes a competitive threat.
- Business Value: Hear about tangible, real-world use cases of Agentic AI across banking and financial markets. Learn how advancements in AI are reducing deployments costs and risks while expanding business opportunities.
- Architecture: The session will provide insights into the architectural and integration considerations required for deploying AI agents safely and efficiently across your cloud estate. Gain practical guidance on how Agentic AI fits into your broader technology stack and how to align it with your existing technology investments.
- Risk and Compliance Implications: Learn how to manage, monitor, and govern autonomous systems to ensure compliance, auditability, and trust
If you're seeking to unlock substantial efficiencies and stay ahead of the AI curve, this session is critical for your strategic planning. Explore how agentic AI can help your institution stay competitive, secure, and agile.
Event Details:
Date: June 5, 2025
Time: 1:00 PM - 2:00 PM
Location: Virtual ON24
Colin Kerr
Research and Advisory, Celent
Colin’s research in the Corporate Banking practice draws on a career at the intersection of global banking business and technology. Based in Chicago, his focus includes corporate digital channels, treasury and cash management products, technology modernization, and managing data as a foundation for analytics and AI.
Colin’s experience has been forged at global banks and technology firms in Europe and the United States. Before joining Celent in 2022, Colin was a technology executive for digital channels at Bank of America, where he led the development of digital cash management and analytics solutions for global transaction banking.
As an industry solutions director for worldwide financial services at Microsoft, Colin successfully developed banking industry growth strategies at a time when technology vendors and banks began transitioning to cloud computing.
Colin’s career started in the UK with a progression of operations, product management, and technology development roles at HSBC, a vendor of wholesale banking solutions, and ABN AMRO Bank’s Global Transaction Services group in North America.
Colin holds a Certified Treasury Professional (CTP) accreditation from the Association for Financial Professionals and often contributes to industry publications and conferences worldwide.
Aric Rosenbaum
Chief Technologist, Global Financial Services , Red Hat
Aric serves as the Chief Technologist on Red Hat's Global Financial Services team, where he helps clients meet their strategic priorities through the use of open source technology. Prior to joining Red Hat, he led large, digital transformation projects at Goldman Sachs’ Investment Management Division and was co-founder/CTO of several FinTechs in equity and FX trading.
Jeff Winn
Global AI Platform Leader, Red Hat
Jeff returned to Red Hat to run the Global AI Platform Team. He is a former Red Hatter who spent over 8 years dawning a red fedora before working at Databricks as an AI sales leader. In his first stint at Red Hat, Jeff served as a Chief Architect within NA, working with countless customers on their technical vision.
