VoiceAmerica
Game-Changing Predictive Machine Learning, Presented by SAP
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VoiceAmerica
Game-Changing Predictive Machine Learning, Presented by SAPEpisodes
VoiceAmerica
Game-Changing Predictive Machine Learning, Presented by SAP
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Episodes of Game-Changing Predictive Machine Learning, Presented by SAP
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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 succ
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 succ
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 succ
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 succ
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
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
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.
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 succ
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 succ
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
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
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.” (Jen Underwood, inf
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.” (Jen Underwood, inf
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. Can technology remo
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. Can technology remo
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). In a recent SAP survey, nine out of 10 business leaders believe AI is critical for their compani
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). In a recent SAP survey, nine out of 10 business leaders believe AI is critical for their compani
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). True or false: Everything we need to function and thrive already exists, so innovation has slowed? Fal
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). True or false: Everything we need to function and thrive already exists, so innovation has slowed? Fal
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
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
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. Now machine learning and artificial in
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. Now machine learning and artificial in
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). Ventana reported that only 40% of organizations surveyed have sta
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