The buzz: “There are not enough trained data scientists to meet today’s businesses’ goals of improving efficiency and automating tasks using machine learning” (Ventana Research).

The Making of A Citizen Data Scientist: Challenges and Hacks

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.

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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.

Encore: Cant Live Without You: Predictive Machine Learning Needs Data Management

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.

Encore: Business Analyst by Day, Data Science Hero by Night

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 Making of A Citizen Data Scientist: Challenges and Hacks

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