Use AI & RPA to Solve Data Science Challenges | UiPath
Blog: UIPath.com
Jeremy Tederry is a machine learning product manager at UiPath.
I love working with data. But does it cause me some frustration? You bet.
Having worked as a data scientist for over five years, I’ve felt the pain of trying to balance my ambitions for data with the limitations that come when operationalizing data. For instance, I left a position at a company I liked because we didn’t have the resources to get a machine learning (ML) model into production. We worked very hard to solve tasks using data and ended up not having the opportunity to impact the product. When your job becomes bogged down with organizational and operational challenges, it can be easy to grow disheartened and lose sight of why you liked working with data in the first place.
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