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Leveraging Data - How Advanced Analytics is Changing the World of Risk Management

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For instance, Deep Knowledge Ventures, a Hong-Kong based venture capital (VC) focused age-related disease drugs and regenerative medicine projects, appointed a software algorithm to its board of directors. This program, called VITAL, sifts through huge amounts of data to make investment recommendations on life sciences companies. It makes these decisions by scanning prospective companies' financing, clinical trials, intellectual property, and previous funding rounds. One could argue that Billy Beane was right -- well, mostly right. The traditional baseball scouting system still exists today. And so does the Moneyball concept. The two approaches are now designed to complement each other. What has changed is the art -- and science -- of analytics both on and off the sports field. Statistical analytics has helped to fuel data analytics which has helped to fuel artificial intelligence and machine learning in organizations and businesses around the globe. And that evolution continues. Deloitte may have summed it up best: "While many successful companies avoid risk, great companies embrace risk -- but only after assessment, deliberation, understanding and planning. This methodical, Risk Intelligent approach, elevates the entire profile of success and failure, raising the peaks and filling in the valleys. As a result, the linkage between taking calculated risks and earning significant awards becomes clearer, with plans in place to minimize the one while maximizing the other." LEVERAGING DATA | 12

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