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The implications are significant. An experienced mechanical engineer is no longer required to predict engine failures. An experienced physician is no longer required to predict the onset of diabetes in a patient. A geological engineer is no longer required to predict oil well placement for optimal production. These can all be learned from data by t
... See moreThomas M. Siebel • Digital Transformation: Survive and Thrive in an Era of Mass Extinction
As Brynjolfsson and McAfee point out in The Second Machine Age, over the past thirty years, the United States has seen steady growth in worker productivity but stagnant growth in median income and employment. Brynjolfsson and McAfee call this “the great decoupling.” After decades when productivity, wages, and jobs rose in almost lockstep fashion, t
... See moreKai-Fu Lee • AI Superpowers: China, Silicon Valley, and the New World Order
Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality
SSRNpapers.ssrn.comThe One-person Billion-dollar Company
How to build a lasting business | Jason Fried (37signals, Basecamp, HEY)
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Adam Gazzaley and Larry Rosen bluntly summarize in their 2016 book, The Distracted Mind: