March 2015RT @marcellovena: Innovation? No thanks, we are too busy... @posth @arhomberg http://t.co/Pfs05Y83v1
http://ift.tt/1IjtKNj Faut pas se laisser faire...
Sortie route blancs gilets très sympa ce matin avec série de sprints pour finir pour Thomas Declercq et Guillaume.
Caroline Declercq on voit ta maison
“I initially thought that AI and machine learning would be great for augmenting the productivity of human quants. One of the things human quants do, that machine learning doesn’t do, is to understand what goes into a model and to make sense of it. That’s important for convincing managers to act on analytical insights. For example, an early analytics insight at Osco Pharmacy uncovered that people who bought beer also bought diapers. But because this insight was counter-intuitive and discovered by a machine, they didn’t do anything with it. But now companies have needs for greater productivity than human quants can address or fathom. They have models with 50,000 variables. These systems are moving from augmenting humans to automating decisions.” https://hbr.org/2015/03/artificial-intelligence-is-almost-ready-for-business?utm_content=buffer07b27&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer RT @KimAuclair: Changer oui .. Mais être cohérent . Pas changer idée / application chaque mois #WAQ15
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