AI Provenance: Pass Model Audits with Confidence

In this episode of The AI Forecast, Anu Jain, founder and CEO of Nexus Cognitive, joins host Paul Muller to introduce a transformative idea: AI doesn’t have a last-mile problem. It has a first-mile problem. While AI models and algorithms can scale instantly through the cloud, their success still depends on the quality, provenance, and readiness of the data that feeds them. Drawing from his career spanning MicroStrategy, Deloitte, IBM Watson, Think Big Analytics, and now Nexus Cognitive, Anu explains why so many enterprise AI initiatives stall before production — not because of model complexity, but because data remains chaotic, siloed, and treated as an afterthought.  Anu explores the shift from data as “exhaust” to data as a strategic asset, the rise of composable architectures, and why he believes every piece of data needs a “digital birth certificate” to anchor trust, context, and lineage. Stay in touch with Anu: LinkedIn: https://www.linkedin.com/in/anujain/  Nexus Cognitive: https://www.nexuscognitive.com/  +++   Follow and subscribe to The AI Forecast for more conversations with the innovators shaping the future of enterprise AI.