Why AI Fails Without Better Data | T. Rowe Price Chief Data Officer, Kevin Bates
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Why AI Fails Without Better Data | T. Rowe Price Chief Data Officer, Kevin Bates
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著者：
AI isn’t magic.
Kevin Bates, Chief Data Officer at T. Rowe Price, made the clearest case I’ve heard for why so many companies are stuck with AI.
Everyone wants the AI breakthrough.
But Kevin says the real blocker is often much less exciting:
fragmented data
legacy systems
unclear ownership
poor data quality
decades of complexity
When ChatGPT first exploded, a lot of leaders thought AI might magically work around messy data.
Kevin says the opposite happened.
AI made data quality more important, not less.
Because if your data is broken, fragmented, or trapped in brittle legacy systems, AI won’t transform the business.
It will expose the weakness.
And Kevin’s warning is important to consider:
If your data keeps you from adopting the next generation of tools, you’re not going to compete.
Your AI strategy is only as strong as your data, and Kevin gives us a powerful playbook for where to start!
Follow Kevin on LinkedIn: https://www.linkedin.com/in/kevin-bates-69b3002?utm_source=share_via&utm_content=profile&utm_medium=member_ios
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