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The buzz: “Data! Data! Data! I can’t make bricks without clay!” (Sherlock Holmes). There is no question that Machine Learning is impacting core business processes – and that many companies struggle with how to operationalize it. The key to success – and what data scientists spend 80% of their time on – is having the right data. What are the requirements for good data? How do you know you have the right data? Can this be optimized? The experts speak. Ginger Gatling, SAP: “The pace of change has never been this fast, yet it will never be this slow again” (Graeme Wood). Blake Howitt, SAP: “The measure of who we are is what we do with what we have” (Vince Lombardi). David Quirk, SAP: “None of us is as smart as all of us” (Ken Blanchard). John Schitka, SAP: ““You can't build a great building on a weak foundation. You must have a solid foundation...to have a strong superstructure” (Gordon B. Hinckley). Join us for Can’t Live Without You: Predictive Machine Learning Needs Data Management.
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The buzz: “Data! Data! Data! I can’t make bricks without clay!” (Sherlock Holmes). There is no question that Machine Learning is impacting core business processes – and that many companies struggle with how to operationalize it. The key to success – and what data scientists spend 80% of their time …
The buzz: “Data! Data! Data! I can’t make bricks without clay!” (Sherlock Holmes). There is no question that Machine Learning is impacting core business processes – and that many companies struggle with how to operationalize it. The key to success – and what data scientists spend 80% of their time …
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