• Game-Changing Predictive Machine Learning, Presented by SAP

  • 著者： Bonnie D. Graham
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Game-Changing Predictive Machine Learning, Presented by SAP

著者： Bonnie D. Graham
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  • As business rapidly evolves and constantly changes, those in the driver’s seat have tried to divine the future. Predictive Machine Learning is helping them do just that in a meaningful, impactful way by addressing key business and operational questions, driving ROI, and improving margins. Predictive Machine Learning is truly useful when predictive output is embedded within applications as native features. Line of Business demands for prescriptive insights, coupled with a scarcity of skilled data scientists, compel business people to become ‘citizen data scientists’ to drive predictive capabilities. It is time to think differently about Predictive Machine Learning and how it can transform the work experience.brbr Join host Bonnie D. Graham as she invites you to take an additional coffee break with game-changers in our series on how SAP is redefining the role predictive capabilities plays in business, on Game-Changing Predictive Machine Learning.
    Bonnie D. Graham
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  • Encore: Cant Live Without You: Predictive Machine Learning Needs Data Management

    Encore: Cant Live Without You: Predictive Machine Learning Needs Data Management
    2019/05/01
    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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    55 分
  • Encore: Cant Live Without You: Predictive Machine Learning Needs Data Management

    Encore: Cant Live Without You: Predictive Machine Learning Needs Data Management
    2019/04/10
    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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    55 分
  • Encore: Business Analyst by Day, Data Science Hero by Night

    Encore: Business Analyst by Day, Data Science Hero by Night
    2019/03/20
    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 navigate and take advantage of this new business domain, which includes AI and Machine Learning? Good news. Packaged application software has lowered the skills barrier to mining the data. Our panelists are proof that anyone can successfully use data analytics tools. Hear what they wish they’d known when they began. The experts speak. Jason Olsen, Kimberly-Clark: “Whether you think you can or you think you can’t, you’re right” (Henry Ford). Chris Carter, Approyo: “I never worry about the problem. I worry about the solution” (Shaq O’Neal). Samantha Wong, SAP: “True knowledge exists in knowing that you know nothing” (Socrates). Join us for Business Analyst by Day, Data Science Hero by Night.
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    56 分

あらすじ・解説

As business rapidly evolves and constantly changes, those in the driver’s seat have tried to divine the future. Predictive Machine Learning is helping them do just that in a meaningful, impactful way by addressing key business and operational questions, driving ROI, and improving margins. Predictive Machine Learning is truly useful when predictive output is embedded within applications as native features. Line of Business demands for prescriptive insights, coupled with a scarcity of skilled data scientists, compel business people to become ‘citizen data scientists’ to drive predictive capabilities. It is time to think differently about Predictive Machine Learning and how it can transform the work experience.brbr Join host Bonnie D. Graham as she invites you to take an additional coffee break with game-changers in our series on how SAP is redefining the role predictive capabilities plays in business, on Game-Changing Predictive Machine Learning.
Bonnie D. Graham
政治・政府 ビジネス・キャリア
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