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The Best Leadership Books of 2016

Leading Blog

As technology becomes more disruptive and we see more importance placed on big data and artificial intelligence, what will matter most are those things that make us human – the soft skills. The story of Greenspan is also the story of the making of modern finance, for good and for ill. Related Interest: Best Leadership Books of 2015.

Books 150
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Featured Instigator: Susan Mazza

Lead Change Blog

Susan graduated from Penn State with a BS in Finance and International Business. She started out working in a very large accounting department facilitating the communication between the accountants and the IT professionals to develop and deploy new and innovative technologies. 6/2016: Mary Schaefer . 5/2016: Kevin Eikenberry.

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8 Tech Trends to Watch in 2016

Harvard Business Review

More than once you’ve probably looked at some new digital or technological development and asked yourself, “How did we miss that?” My 2016 trends offer early warnings and opportunities for managers in all industries. Here are eight to note for 2016. Expect to hear more about “glitches” in 2016.

Trends 8
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Why Some of the Most Groundbreaking Technologies Are a Bad Fit for the Silicon Valley Funding Model

Harvard Business Review

Over the past few decades, Silicon Valley has been such a powerful engine for entrepreneurship in technology that, all too often, it is considered to be some kind of panacea. The Silicon Valley model, for all of its charms, was developed at a specific time, for a specific industry, which was developing a specific set of technologies.

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The Most (and Least) Empathetic Companies

Harvard Business Review

Technology. Technology. Technology. Technology. Cisco Systems. Technology. Technology. Technology. Technology. Technology. Technology. BAE Systems. Technology. Tesla Motor. Automotive. Alphabet (Google). Procter & Gamble. Consumer Goods. Walt Disney.

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A Survey of 3,000 Executives Reveals How Businesses Succeed with AI

Harvard Business Review

While it’s clear that CEOs need to consider AI’s business implications, the technology’s nascence in business settings makes it less clear how to profitably employ it. While investment in AI is heating up, corporate adoption of AI technologies is still lagging.

Survey 10
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How Companies Are Already Using AI

Harvard Business Review

Even the near-term outlook has been quite negative: A 2016 report by the Organization for Economic Cooperation and Development (OECD) said 9% of jobs in the 21 countries that make up its membership could be automated. Four years ago, an Oxford University study predicted 47% of jobs could be automated by 2033.

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