The availability of all this data means that virtually every business or organizational activity can be viewed as a big data problem or initiative. M… - Thomas H. Davenport

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The availability of all this data means that virtually every business or organizational activity can be viewed as a big data problem or initiative. Manufacturing, in which most machines already have one or more microprocessors, is increasingly a big-data environment. Consumer marketing, with myriad customer touchpoints and clickstreams, is already a big data problem. Google has even described its self-driving car as a big-data project.

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About Thomas H. Davenport

Thomas Hayes "Tom" Davenport, Jr. (born October 17, 1954) is an American organizational theorist, Professor in Information Technology and Management at Babson College, and consultant, who specialized in analytics, business process innovation and knowledge management.

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One large US bank, for example — an aggressive adopter of AI — has announced a $350 million investment in reskilling related to AI-related job changes, and the bank is being both predictive and granular about the initiative.10 It’s working with researchers from MIT and elsewhere to understand — based on a “suitability for machine learning” (SML) assessment — which skills and jobs are most likely to be replaced by AI.11 The SML analysis will help the bank plan for changes in those jobs and help workers gain the skills they need to succeed in their modified jobs or transition to new ones.

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