Claim OwnershipGame-Changing Predictive Machine Learning, Presented by SAP
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© Bonnie D. Graham
Description
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.
12 Episodes
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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.
1The 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: “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: “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: “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).
The buzz: “Gartner estimates that augmented analytics will grow at twice the rate of those that are not, and will deliver twice the business value. Analytics and BI leaders should begin planning…pilot projects and adoption.
The buzz: “AI and machine learning can be an objective observer to screen for bias patterns” (Kevin Mulcahy, Future Workplace). Human bias exists in HR hiring, promotions, employee opportunities and other business decisions.
The buzz: “Whether you like it or not, artificial intelligence (AI) and robots are going to be a big part of the future workforce” (Arjun Kharpal).
The buzz: “A baby learns to crawl, walk and then run. We are in the crawling stage when it comes to applying machine learning” (Dave Waters).
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: “Predictive analytics is…one of the few investments a CMO will make that is guaranteed to produce a return on investment.” (Richard Mooney)
Predictive analytics continues to evolve in cool ways.
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).
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