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The Connection Between Failure and Resilience: How Small Losses Can Build Big Wins

The Startup Magazine

Running the data through a computer algorithm of his making, he decided not to train the players to dribble faster, shoot better, or run harder for longer. The case for corporate resilience has been well made , especially through the trials of the COVID-19 pandemic when change, stress, and uncertainty was at an all time high.

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GPT-3:  An AI That Makes Cars, Not Wrenches And What It Means For The Legal Profession

YoungUpstarts

AI is getting tremendous attention and significant venture capital, but AI tools frequently underwhelm in the trenches. The networks and algorithms that power AI are quite good at drawing correlations across enormous datasets that would not be obvious to humans. Because Not Every Problem Is A Nail.

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Entrepreneurs are Everywhere Show No. 32: Evangelos Simoudis and Ashok Srivastava

Steve Blank

How to make corporate innovation work and drive success in startups were the topics of discussion with the guests on today’s Entrepreneurs are Everywhere radio show. Steve : Is that what makes machine intelligence possible, not only having the hardware and the algorithms but the a stream of data that was never available before?

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5 Signs that You are Ready to Scale Business and Deploy Innovation

ReadWriteStart

You might have a well-established algorithm of what to do to engage new customers, deliver exceptional quality, and efficiently run internal corporate processes. It is the first sign that your venture should be scaled soon. A business needs new professionals in a team, new approaches, and new opportunities for growth.

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Love And Giving Aren’t Green: Startups & Corporate Social Impact

YoungUpstarts

with color-blocked swarms of people donning shiny new running sneakers; people whose eyes are still glued to their BlackBerrys monitoring the market close; an assembly of ethnically-balanced, clean-cut 22- to 45-year-olds wearing a version of the shirt, “JPMorgan Corporate Challenge: TEAM MORTGAGE-BACKED SECURITIES!”

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Where are the opportunities for machine learning startups? [guest post]

VC Cafe

Here I choose a few areas where it’s possible that big corporations haven’t already eaten everybody’s lunch. It’s striking that algorithm developments for machine intelligence have been overwhelmingly open source. Machine learning in cyber security has already attracted a substantial amount of venture capital (e.g.

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Looking Back On Tech, Startups, And VC In 2018

Haystack

6/ Venture Capital In Expansion Phase. Public investors, cross-over investors, and even traditional private equity firms have taken notice, further blurring the lines of what constitutes true venture capital. And will society demand to have more of the algorithmic black box that feeds it information exposed in public?