Artificial Intelligence
Snowflake Summit 26: How AI Agents Are Transforming Financial Services
Agentic artificial intelligence solutions can help financial services institutions to automate tasks and increase efficiencies by reducing the amount of time it takes to complete a task, such as fraud detection or loan processing.
However, as financial services institutions consider implementing and developing AI agents, it’s important that security and compliance are addressed from the beginning. For example, the organization needs to know where and to whom their data is being exposed at all times. And because AI agents are completing tasks automatically, it’s especially important that a human be kept in the loop to verify that tasks are being handled accurately.
At Snowflake Summit 26 in San Francisco, BizTech spoke with experts in the space about the benefits of agentic AI for financial services and best practices for the implementation and management of agentic AI tools to ensure success and compliance.
Check out this page for our complete coverage of Snowflake Summit 26.
Participants
Kali Chithambaram, Industry Strategist, Financial Services, CDW
James McGeehan, Head of Banking, Capital Markets and Payments, Snowflake
Brian Hilgenfeld, Vice President, Financial Services Vertical, CDW
Video Highlights
- Agentic artificial intelligence can reduce the time it takes to identity fraudulent transactions from days or even weeks to seconds.
- Role-based access, encryption and well-defined data residency are all important to securing AI agents and ensuring compliance.
- While financial institutions can’t outsource risk, they can share that risk when partnering with a managed service provider.
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