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#71 Scaling Machine Learning Adoption: A Pragmatic Approach
DataFramed
The Pitfalls of Data Scientists When Working in Industry
The data team is producing a mudel that is solving business problems. And these solutions will be owned by a functional leader in the business units. What do you think are some of the pitfalls data scientists fall into when working with business unitsthat they are not aware of before joining an organization? The quicker you can get to the problem statement and how you solve it, that will at least, you know, let you work on the right thing.
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