Prejudice in A.I.

Posted by Rennan Tilbury on Aug 29, 2019 8:30:00 AM

Over the past 25 years, computers have slowly encroached into the domain of human intellect, the machines first victory was in 1997 when Kasparov lost to Deep Blue at Chess1. Since then A.I. have continued to expand the games they can beat us at, from Go to Poker, and Shogi to Starcraft2. These achievements of machine learning, whilst shockingly impressive, are in stark contrast to the failures of A.I. in the real world.

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Topics: AI, Artificial Intelligence, Technology, AI Platforms, Data, Machine Learning

In Conversation with: Werner Vogels, VP & CTO, Amazon

Posted by World Summit AI on Aug 29, 2019 8:03:55 AM

Werner Vogels, VP & CTO at Amazon will take to the stage for the opening headline session on day two at World Summit AI 2019 (Thursday 10th October) and ahead of their appearance we asked Werner a few questions about Amazon’s approach to machine learning, AI use for enterprise and which industry is being revolutionised by AI adoption. Read on for the full Q&A.

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Topics: AI, Artificial Intelligence, Technology, Machine Learning, Enterprise AI

Five practical steps to make Artificial Intelligence interpretable

Posted by PwC on Aug 28, 2019 2:54:02 PM

If AI is to gain people’s trust, organisations should ensure they are able to account for the decisions that AI makes, and explain them to the people affected. Making AI interpretable can foster trust, enable control and make the results produced by machine learning more actionable. How can AI-based decisions therefore be explained?

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Topics: AI, Artificial Intelligence, Technology, Data, Machine Learning, Responsible AI

Can you beat the market, consistently? Machine Learning can

Posted by K1 Digital on Aug 22, 2019 3:20:00 PM

Having information is key. Understanding the right information is a success.

And these are the two features where artificial intelligence seems to be winning over human capabilities in stock picking.

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Topics: AI, Artificial Intelligence, Machine Learning, Stock Picking, Financial Industry, Investment Funds

The curse of the data lake monster

Posted by ThoughtWorks on Aug 7, 2019 10:46:42 AM

Artificial intelligence and machine learning are currently all the rage. Every organization is trying to jump on this bandwagon and cash in on their data reserves. At ThoughtWorks, we’d agree that this tech has huge potential — but as with all things, realizing value depends on understanding how best to use it. 

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Topics: Artificial Intelligence, Technology, Data, Data Science, Machine Learning