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Everyday Chaos

Technology, Complexity, and How We're Thriving in a New World of Possibility

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Everyday Chaos

By: David Weinberger
Narrated by: Danny Campbell
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About this listen

Artificial intelligence, big data, modern science, and the internet are all revealing a fundamental truth: The world is vastly more complex and unpredictable than we've allowed ourselves to see.

Now that technology is enabling us to take advantage of all the chaos it's revealing, our understanding of how things happen is changing - and with it our deepest strategies for predicting, preparing for, and managing our world. This affects everything, from how we approach our everyday lives to how we make moral decisions and how we run our businesses.

Take machine learning, which makes better predictions about weather, medical diagnoses, and product performance than we do - but often does so at the expense of our understanding of how it arrived at those predictions. While this can be dangerous, accepting it is also liberating, for it enables us to harness the complexity of an immense amount of data around us. We are also turning to strategies that avoid anticipating the future altogether, such as A/B testing, Minimum Viable Products, open platforms, and user-modifiable video games. We even take for granted that a simple hashtag can organize unplanned, leaderless movements such as #MeToo.

Through stories from history, business, and technology, philosopher and technologist David Weinberger finds the unifying truths lying below the surface of the tools we take for granted - and a future in which our best strategy often requires holding back from anticipating and instead creating as many possibilities as we can. The book’s imperative for business and beyond is simple: Make. More. Future.

The result is a world no longer focused on limitations but optimized for possibilities.

©2019 by David Weinberger. (P)2019 Brilliance Publishing, Inc., all rights reserved.
Forecasting & Strategic Planning Management Workplace Culture Business Artificial Intelligence Data Science Machine Learning Programming
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