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- >> February 2015 >> - Show 10, 25, 50, All News - Expand All, Compact All, 1024 chars

March 2015

RT @bernardpivot1: "Il y a quatre types idéals: le crétin, l'imbécile, le stupide et le fou. Le normal, c'est le mélange équilibré des quatre." Umberto Eco

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RT @bernardpivot1: "Il y a quatre types idéals: le crétin, l'imbécile, le stupide et le fou. Le normal, c'est le mélange équilibré des quatre." Umberto Eco

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Have you visited the www . apen . land ? #apenland #belgium

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RT @Cybersal: My storify of the recent @IntegratedEA #entarch event t.co

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@greefhorst Thanks ! will use it when people say architecture work is not necessary because "we do agile". #entarch #agile #togaf

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I choose a lazy person to do a hard job. Because a lazy person will find an easy way to do it | #quote #lazy #work t.co

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“I choose a lazy person to do a hard job. Because a lazy person will find an easy way to do it”.

It would be a quote by Bill Gates but apparently it isn’t:

http://quoteinvestigator.com/2014/02/26/lazy-job/

I found it in this presentation :

 

Just got a message for interest for a job job in... Bangalore, India. Today is not the moment. In 2025 maybe...

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RT @JournalDuGeek: Eric Schmidt : "Les Google Glass ne sont pas mortes" t.co t.co

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Eden Hazard chambre Courtois après sa boulette - RTBF Football t.co

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RT @marcellovena: Innovation? No thanks, we are too busy... @posth @arhomberg http://t.co/Pfs05Y83v1

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Faut pas se laisser faire...
Sortie route blancs gilets très sympa ce matin avec série de sprints pour finir pour Thomas Declercq et Guillaume.
RT @cycling_rr: The Future of Cycling? Highlights from the Wearable Technology Show t.co

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Caroline Declercq on voit ta maison
One of my dreams is to ride a quarter horse in America

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RT @amanda_m_macias: this is a lion getting a CATscan. t.co

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RT @MetroUK: Aliens could be dictating Wikipedia articles online t.co t.co

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RT @fabiantilmant: Artificial Intelligence Is Almost Ready for Business t.co

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“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
How much time do I loose searching for the "normal" style in #msword ? #timeloss #software

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RT @KimAuclair: Changer oui .. Mais être cohérent . Pas changer idée / application chaque mois #WAQ15

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Ok you want to correctly express your business rules ? Try OMG's SBVR... t.co

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|| >> February 2015 >>