James Moughon
Roadblock Title:
Double RAG: How out-of-the-box AI can help reduce decision times
Time:
Tuesday - 2:00 PM (Tower A)
Abstract:
AI offers numerous powerful use cases for business data and processes. However, many organizations face challenges, including the need for expensive software, lengthy development efforts, and teams of experts to implement effective AI solutions. In this discussion, we will demonstrate how organizations can lower the barriers to AI adoption. We will explore the concept of Retrieval-Augmented Generation using common AI providers, coupled with a simple RAG status system. This approach can effectively assist decision makers and significantly reduce the manual review time required. We will outline the process for implementing this solution, share lessons learned, and discuss the safeguards necessary to help decision makers understand the recommendations made and the underlying data.
Bio:
James is the VP of Digital Products at Praxent, where he helps financial services organizations achieve growth through innovative digital experiences. With over 17 years in IT and software engineering, he leads digital transformation projects, specializing in UI/UX redesigns, fintech integrations, DevOps, data visualization, and full-stack engineering. James is passionate about aligning business and tech teams to create modern, user-friendly products.
