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" ... By then, quants and others in various industries had embraced Simons’ machine learning techniques. Indeed, he and his colleagues at Renaissance had anticipated the transformation in decision-making that’s sweeping almost every business and walk of life. More companies and individuals are accepting and embracing models that continuously learn from their successes and failures. As investor Matthew Granade has noted, Amazon, Tencent, Netflix, and others that rely on dynamic, ever-changing models are emerging dominant. The more data that’s fed into machines, the smarter they’re supposed to become. Just as Jim Simons predicted. ... "
" ... Firms like Tiger Global, Coatue and D1 recorded returns more significant than 35%. Meanwhile, even the most sophisticated quants like Renaissance Technologies and Two Sigma struggled as their computer models tried to deal with wild swings driven by geopolitical uncertainty. ... "
" ... Models, dashboards and data resources only started to surface after it was too late—when we were in a position of reacting instead of predicting. The data was there. Companies are still relying on outside sources and support far removed to get them data insights. There are too many data challenges for the world’s quants to solve and some data analytic challenges are really, really hard. But those of the pandemic weren’t—these challenges were obvious. How does a hospital network not know how many masks they need and when and where they’re going to need them? How did we not identify nursing homes and other elder care facilities in the first wave of shutdown, considering the evidence that Covid impacts the elderly? ... "
" ... Neither I nor any other reputable quants are on a treasure hunt for factors that looked good in the past. To do it right, one needs a plan grounded in financial theory. ... "