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How Private Equity and Venture Capital Investors Are Eating Their Own Dogfood

David Teten

The extreme example of this are algorithmic investors in the public markets, who design algorithms which trade on the designer’s behalf, as opposed to making trading decisions directly. High-frequency trading, algorithmic by its nature, is estimated to account for at least 50% of US equity markets trading volume. .

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Let's Fire Our Customers

Steve Blank

Pattern Recognition One of the great things about being an entrepreneur is that you are constantly running a pattern recognition algorithm against a continual collection of customer and market data. While this sounds inexplicable to an outside observer, sometimes it makes sense. Other times it’s just plain dumb.

Customer 201
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Good to Great to Excellent: A Roadmap

www.launch.co

I was fried by having my fate in the hands of an anonymous, and sometimes evil, little algorithm. Competition is fiercer, winners win more and every vertical has many more losers. Then folks started tracking their time in an App called Harvest. We live in cutthroat times. as their recruiting tactics.

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Artificial Intelligence and Machine Learning– Explained

Steve Blank

Humans combine data with algorithms (see here for a list) to train a model using that data. Machine learning algorithms – computer programs that adjust themselves to perform better as they are exposed to more data. Department of Defense has created a dedicated organization to ensure its deployment. But What Is It?