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The New Economic Revolution

Strategy Driven

From internet commerce technology has sprung forth the Bottom-Up Economic Revolution. Between 2000 and 2012, the US labor force lost over a million private wage and salary workers yet in that same time frame, over 10 million working proprietors entered the marketplace. million employees—nearly half of those 1.5 All rights reserved.

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As Cryptocurrencies Rise, Who Needs Banks?

Harvard Business Review

But that doesn’t mean that new technologies aren’t going to usher in a lot of disruption to the financial system. Traditional economists (and, yes, that label could well describe both of us) often ignore a crucial separation between money (the “what”) and the payment technology (the “how).

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The Coming of the Clairvoyant Computer

Leading Blog

For example, in the mid-1990s, Chase Bank witnessed a nine digit windfall predicting mortgage outcome. Obama was re-elected in 2012 with the help of voter prediction. Machine learning develops predictive capabilities with a form of number-crunching, a trial-and-error learning process that builds upon statistics and computer science.

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Six Predictions for Digital Business in 2012

Harvard Business Review

My crystal ball devoted to the intersection of business and digital technology brought forth six predictions for 2012. When Amazon's Kindle Fire came out I wrote that the tablet wars were starting in earnest, and when I hear Eric Schmidt promise a "highest quality" Android tablet in 2012 I get excited to see what's coming.

Simon 15
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50 Ways to Leave your Lover: Keep Failing Til the Last Thing You Try Is Successful

Mills Scofield

Special guest blog post by Don Esch, President of Bettcher Industries of his story at BW-Center For Innovation & Growth 's Innovation Summit. The Change: Was It Innovation, Serendipity or Providence? Now a small team of Bettcher employees is venturing into clean rooms and observing the “work” that is performed.

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Stock Buybacks Aren’t Hurting Innovation

Harvard Business Review

These stock buybacks have come under criticism as a bad investment – the argument being that companies sitting on record amounts of cash ought to invest in innovation, salaries, or at least dividends, rather than pumping up their own stock price through buybacks. The case of Apple is an instructive, if extreme, example.

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The Risks and Benefits of Using AI to Detect Crime

Harvard Business Review

Many banks and large corporations employ artificial intelligence to detect and prevent fraud and money laundering. While today’s basic technology is not necessarily revolutionary, the algorithms it uses and the results they can produce are. Patrick George/Getty Images. Assessing and mitigating internal risks.