Föhrenbergkreis Finanzwirtschaft

Unkonventionelle Lösungen für eine zukunftsfähige Gesellschaft

Archive for 15. April 2017

Trump Stumbles into Putin’s Syrian Backyard

Posted by hkarner - 15. April 2017

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The EFTA countries show how hard Brexit will be for Britain

Posted by hkarner - 15. April 2017

Date: 14-04-2017
Source: The Economist

Striking trade deals quickly is a bonus but what really matters is the quality of the deal

NORWAY offers much to envy. The food is tasty, public services are great and the people are impossibly good-looking. Its trade policy looks equally desirable. Though it trades heavily with the EU, Norway can also strike trade deals all over the world, either operating in concert with the three other members of the European Free Trade Association (Iceland, Liechtenstein and Switzerland) or on its own. Members of EFTA have dozens of deals, including two with China, with which the EU cannot even start negotiations.

After it leaves the EU, Britain will look much like an EFTA country: a rich economy with close links to Europe, but also seeking trade deals elsewhere. It is superficially an attractive prospect. Yet EFTA’s half-in-half-out relationship with the EU hinders its trade as much as it helps. Den Rest des Beitrags lesen »

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The Financial World Wants to Open AI’s Black Boxes

Posted by hkarner - 15. April 2017

Date: 14-04-2017
Source: Technology Review

Some of the most powerful machine-learning techniques work in mysterious ways, which is a problem if you need to explain a decision to customers.

Powerful machine-learning methods have taken the tech world by storm in recent years, vastly improving voice and image recognition, machine translation, and many other things.

Now these techniques are poised to upend countless other industries, including the world of finance. But progress may be stymied by a significant problem: it’s often impossible to explain how these “deep learning” algorithms reach a decision.

Adam Wenchel, vice president of machine learning and data innovation at Capital One, says the company would like to use deep learning for all sorts of functions, including deciding who is granted a credit card. But it cannot do that because the law requires companies to explain the reason for any such decision to a prospective customer. Late last year Capital One created a research team, led by Wenchel, dedicated to finding ways of making these computer techniques more explainable. Den Rest des Beitrags lesen »

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