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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: “Learning how to do data science is like learning to ski. You have to do it” (Claudia Perlich). Big data has officially crashed into the business world, taking competition to new levels. Can your company benefit without qualified data-science resources like a lab or pedigreed experts to n…
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: “One consultant described RPA tools for structured digital processes as a “gateway drug” for other cognitive technologies” forbes.com). Businesses are using Intelligent Robotic Process Automation (IRPA) technology to boost efficiency. How? IRPA lets computer programs simulate tedious, lab…
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: “The Beatles saved the world from boredom. Can a cutting-edge technology – RPA –do the same for the workplace and take the robot out of the human?” (Xuan Liao www.forbes.com). Reality check: No matter how hard-working or efficient we are, there will be tasks we wish could be done automat…
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