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关于这个播客 🔗
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.
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.
更新频率:
every 9 days
平均音频长度:
55 minutes
英语
美国
28 集
自从 2018年6月20日
episodic
最新一集 🔗
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 tim...
以前的节目 🔗
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 tim...
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 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 tim...
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.
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...
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.
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, l...
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 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 tim...
免责声明: 本页面嵌入的播客和封面图片来自 Bonnie D. Graham，归其所有者所有，与 Listen Notes, Inc. 无关联，也未获得 Listen Notes, Inc. 背书。
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