The Efficiency Paradox: What Big Data Can't Do

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A bold challenge to our obsession with efficiency--and a new understanding of how to benefit from the powerful potential of serendipity Algorithms, multitasking, sharing economy, life hacks: our culture cant get enough of efficiency. One of the great promises of the Internet and big data revolutions is the idea that we can improve the processes and routines of our work and personal lives to get more done in less time than ever before. There is no doubt that were performing at higher scales and going faster than ever, but what if were headed in the wrong direction? The Efficiency Paradox questions our ingrained assumptions about efficiency, persuasively showing how relying on the algorithms of platforms can in fact lead to wasted efforts, missedopportunities, and above all an inability to break out of established patterns. Edward Tenner offers a smarter way to think about efficiency, showing how we can combine artificial intelligence and our own intuition, leaving ourselves and our institutionsopen to learning from the random and unexpected-- Presents a scholarly challenge to todays focus on efficiency, citing the inherent waste of current practices while explaining how artificial intelligence can be combined with intuition to enable random, unexpected outcomes for overall better results. The author of Why Things Bite Back presents a scholarly challenge to todays focus on efficiency, citing the inherent waste of current practices while explaining how artificial intelligence can be combined with intuition to enable random, unexpected outcomes for overall better results. bold challenge to our obsession with efficiency--and a new understanding of how to benefit from the powerful potential of serendipity-- A bold challenge to our obsession with efficiency--and a new understanding of how to benefit from the powerful potential of serendipityAlgorithms, multitasking, the sharing economy, life hacks: our culture cant get enough of efficiency. One of the great promises of the
Delivery 3-6 weeks
21,37 €
Regular price: 22,49 €
Availability in stores