Accelerating AI Time to Value: Choosing the Right Data Platform for RAG and Agentic AI
August 14, 2025
11:00 am ET
Enterprises looking to build generative and agentic AI apps face a key challenge: how to realize business value quickly.
This session lays out a strategic framework for evaluating AI-ready data platforms with a focus on rapid time to value. William McKnight, president of McKnight Consulting Group, and Lizzy Nguyen, director of Product Marketing at EDB, team up to compare two real-world approaches to retrieval-augmented generation (RAG) and agentic AI: leveraging sovereign, hybrid EDB Postgres® AI vs. building an in-house DIY stack with cloud services.
You’ll walk away with practical insights into:
- Total cost of ownership
- Development complexity and operational effort
- The six infrastructure pillars every enterprise RAG system needs:
- Database and AI
- Data lake
- Security and compliance
- Observability and monitoring
- Distributed high-availability microservices
- Message queues
William McKnight
McKnight Consulting Group
President
William McKnight is a leader in data management, recognized globally as a top consultant and analyst in data, analytics, and cloud technologies. With a career that spans roles such as vice president at Anthem Insurance Companies and partner at two consulting firms, he has helped numerous large and mid-market companies transform data into a valuable strategic asset. His expertise has earned him accolades such as being ranked #1 globally in big data by Thinkers 360, and a top voice of 2024 and on placement on the dataIQ100. An accomplished author and speaker, he has penned hundreds of research reports.
Lizzy Nguyen
EDB
Director, Product Marketing
Lizzy Nguyen is a director of Product Marketing for EDB Postgres® AI. She focuses on educating and advocating on the ways that a unified platform solution enables customers to securely and efficiently automate, manage, and observe AI-ready data across their hybrid data infrastructure.
