A case study — an effort at a healthcare insurer — provides five lessons not just applicable in projects aimed at reducing paper but also for other AI initiatives as well: 1) The goal should not be automation; it should be to get the work done in a cost-effective manner. 2) A successful application of AI may not mean lower employment. 3) AI can allow employees to focus on higher-value work. 4) The savings come from increases in scale made possible by higher productivity and quality.
So they launched a drive to create transistors as a faster, far cheaper alternative.is the George W. Taylor Professor of Management at the Wharton School and the director of its Center for Human Resources. He is the author of several books, includingis the executive director of the Mack Institute for Innovation Management and an adjunct professor of Management at the University of Pennsylvania’s Wharton School.
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