Your AI Looks Smart. Your Data Disagrees.

About this episode

The episode discusses the importance of data quality in enterprise AI and features a conversation with Paul Bruffett about modernization efforts at Jack in the Box.

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 ...

People in this episode

Host: Dan Moristro

Guest: Paul Bruffett

Topics covered

• AI accuracy
• data quality
• enterprise AI
• trust in AI
• data modernization

Keywords

• AI
• data
• enterprise
• trust
• modernization
• analytics
• accuracy

Mentioned in this episode

Organizations: Jack in the Box, World Wide Technology

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