Creating AI-Ready Data at Scale: The Trusted Foundation for All AI Use Cases
Fragmented, evolving data keeps organizations from confidently scaling AI, but in truth, most enterprise data will never be perfectly clean. That leaves the real question: which data to refine first, and how far? This session shares a framework for prioritizing by use case, scoring datasets for fitness, and setting thresholds a use case must clear before production. Get this right, and data warehouse costs come down, too.
Your speaker
Ted Orme
Field CTO – Data Integration, Qlik
