How to Cook Good AI Products with Data from Your Enterprise Warehouse

Discover how to leverage your existing enterprise data to create effective AI products in this 21-minute conference talk by Julia Neagu, CEO of Quotient AI. Learn why realistic, domain-specific evaluation is crucial for developing practical AI solutions and reducing deployment risks. Explore techniques for creating reference datasets tailored to your specific use cases, domains, and organizational knowledge using data already in your warehouse. Gain insights into testing foundational LLMs on key tasks like customer support and product catalog Q&A. Understand the significant performance differences between real-world settings and benchmark predictions, and apply this knowledge to build more robust AI products. Access additional resources on LLM and MLOps to further enhance your AI development skills.

How to Cook Good AI Products with What You Already Have in your Data Warehouse