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Surprising Mechanical Lessons About Predicting Innovation Success

Thomas Thurston from WR Hambrecht Ventures

In this video from the Stanford HPC Conference, Thomas Thurston from WR Hambrecht Ventures presents: Surprising Mechanical Lessons About Predicting Innovation Success.

For a century, corporate innovators, entrepreneurs and venture capitalists have had to rely on their instincts when deciding which strategies to pursue, and where to invest for growth. Now data science is turning human instinct on its head with powerful decision technologies that are giving rise to counter-intuitive discoveries about market behavior and predicting innovation success. Learn how venture capital firm WR Hambrecht is using big data and machine learning to better identify growth opportunities, predict new business success and rewrite the rules of innovation.”

Thomas Thurston is a Partner and Chief Technology Officer at WR Hambrecht Ventures. For more than 50 years WR Hambrecht and predecessor Hambrecht & Quist have provided billions of dollars in early growth capital to more than 500 companies worldwide. Examples include Adobe, Amazon, Apple, Genentech, Google, Intel, Pixar and Salesforce. Today the firm guides its investments with an advanced computing system that provides unique insights into private markets; including an ability to pinpoint disruptive companies around the globe. This computing system is called MESE® (sounds like “peace”). Formerly, Thomas used data science to guide growth investments at Intel and led joint R&D between Intel and Harvard, with Professor Clayton Christensen, on the use of algorithms to guide innovation and growth efforts. He also helped found a business in the high performance computing industry that was acquired. He holds a BA, MBA, Juris Doctor and was a Fellow at the Harvard Business School.

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