Put Data First: Why AI Fails Without Quality Data
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Put Data First: Why AI Fails Without Quality Data
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Why are 70–95% of AI initiatives failing? It’s not the algorithms—it’s the data. In this episode of Facing Disruption, AJ Bubb (https://www.linkedin.com/in/ajbubb/) sits down with Chris LaCour (https://www.linkedin.com/in/chris-lacour/), founder of the Put Data First Conference, to uncover why messy, unstructured “data sewage” is holding enterprises back from realizing real AI value.
We explore:
- Why data quality and governance are the Achilles’ heel of AI
- The hidden risks of unstructured data (80% of the enterprise)
- The short shelf life of Chief Data Officers- Whether we’re in an AI bubble and what that means for leaders
- Practical steps executives can take today to unlock impact
📍 Event Spotlight: The Put Data First Conference (Oct 27–29, 2025 – Las Vegas) is a practitioner-led roundtable experience for executives tackling AI and data challenges.
Learn more at https://www.putdatafirst.com
If you’re leading digital transformation, AI strategy, or data governance in your organization, this conversation is your roadmap to avoiding failure and building a sustainable AI foundation.