About this episode

Darrel Cherry discusses Clearwater Analytics' journey in building AI for investment management, focusing on accuracy and enterprise adoption.

Clearwater Analytics has gone from concept to over 800 AI agents in production, and Darrel Cherry, VP and Distinguished Engineer, shares the story behind that journey. In conversation with Arvind Mathur, Executive in Residence at AWS, Cherry traces how Clearwater built its own AI studio, multi-agent orchestration system, and no-code agent development environment before most of today's tools and frameworks even existed. Cherry also details how Clearwater ensures accuracy in a zero-error-tolerance industry, from building a custom LLM evaluation framework to maintaining full audit trails across every agent action. This episode offers leaders a practical blueprint for scaling AI from internal experimentation to enterprise-wide adoption, while maintaining the accuracy and trust that high-stakes industries demand.

People in this episode

Host: Arvind Mathur

Guest: Darrel Cherry

Topics covered

• AI
• investment management
• accuracy
• enterprise adoption
• technology
• no-code development

Keywords

• AI agents
• investment management
• accuracy
• no-code
• multi-agent orchestration
• LLM evaluation
• audit trails

Mentioned in this episode

Organizations: Clearwater Analytics, Amazon Web Services

Explore listener stats, chart rankings, contacts and more on the AWS Executive Insights podcast page.