Your AI Looks Smart. Your Data Disagrees.

AI can generate answers instantly. But that doesn’t mean they’re right.Most enterprise AI doesn’t fail because of the model. It fails because the data underneath it doesn’t agree. Different teams, different definitions, different outcomes. It’s subtle, and it breaks trust fast.In this episode, Paul Bruffett, VP of Data and Analytics at Jack in the Box, joins WWT’s Dan Moristro to talk about what it actually took to fix that. A multi-year modernization across core systems set the stage, but the real shift came from treating data as a product and building consistency into how the business defines and uses it.They get into what Dan calls semantic debt, why generative AI makes it harder to ignore, and how modular data products, a modern data stack, and a real MLOps foundation helped turn AI from something interesting into something reliable.If your AI works in demos but not in the business, this is probably why.Learn more about this week's guests:Paul Bruffett is a data and analytics leader with deep experience across cloud platforms, data engineering, and data science. He has designed and implemented enterprise data lakes, big data platforms, and scalable architectures on AWS, Azure, and GCP. Known for a hands-on approach, he focuses on building systems that support continuous deployment of data and AI workloads at scale.Paul's top pick: Jack in the Box CTO Reveals AI PlaybookDan Morrisroe is Managing Director of AI, Data, Analytics, and Management Consulting at World Wide Technology. He works with organizations to turn data and AI strategy into real operating capability, helping align technology, teams, and processes to drive measurable business outcomes at scale.Dan's top pick: From Static Scorecards to Real-Time Retail IntelligenceThe AI Proving Ground Podcast leverages the deep AI technical and business expertise from within World Wide Technology's one-of-a-kind AI Proving Ground, which provides unrivaled access to the world's leading AI technologies. This unique lab environment accelerates your ability to learn about, test, train and implement AI solutions. Learn more about WWT's AI Proving Ground.The AI Proving Ground is a composable lab environment that features the latest high-performance infrastructure and reference architectures from the world's leading AI companies, such as NVIDIA, Cisco, Dell, F5, AMD, Intel and others.Developed within our Advanced Technology Center (ATC), this one-of-a-kind lab environment empowers IT teams to evaluate and test AI infrastructure, software and solutions for efficacy, scalability and flexibility — all under one roof. The AI Proving Ground provides visibility into data flows across the entire development pipeline, enabling more informed decision-making while safeguarding production environments.