The Making of A Citizen Data Scientist: Challenges and Hacks

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June 20, 2018 • 55 mins

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 staff capable of performing data analysis without IT assistance. As a result, Citizen Data Scientists are emerging. Are they filling the void? The experts speak. Richard Mooney, SAP: ”One of history’s few iron laws is that luxuries tend to become necessities and to spawn new obligations” (Yuval N. Harkari). Parimala Narasimha, Cox Communications: “Wit beyond measure is man's greatest treasure” (Rowena Ravenclaw). Marc Teerlink, SAP: “We believe that if men have the talent to invent new machines that put men out of work, they have the talent to put those men back to work” (JFKennedy). Erik Marcade, SAP: “Prophesy is a good line of business, but it is full of risk” (M.Twain). Join us for The Making of A Citizen Data Scientist: Challenges and Hacks.

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.css-14f5ked{margin:0;word-break:break-word;display:-webkit-box;-webkit-box-orient:vertical;box-orient:vertical;-webkit-line-clamp:2;overflow:hidden;}The Making of A Citizen Data Scientist: Challenges and Hacks