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#79 Delivering Smarter Cities & Better Public Policy w/ Data
DataFramed
Are You Building Foundations Instead of Use Cases?
There's oftentimes a misconception when organizations start doing data science for a i, where they want to work immediately on highly imaginative use cases. But these use cases are not necessarily the most valued driven. I'd love to know how you manage these conversations with government stake holders about building foundations rather than use cases. How do you explain the need to bridge the gap between what's valued riven and what is an imaginative ai u case sire?
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