While it’s clear that CEOs need to consider AI’s business implications, the technology’s nascence in business settings makes it less clear how to profitably employ it. Through a study of AI that included a survey of 3,073 executives and 160 case studies across 14 sectors and 10 countries, and through a separate digital research program, we have identified 10 key insights CEOs need to know to embark on a successful AI journey.
Hedge funds are increasingly turning to artificial intelligence in order to spot trends to try to make money for their customers
The retail giant is taking a characteristically algorithmic approach to fashion.
Advancement in technology promises a big future, and the combination of artificial intelligence and blockchain will completely revolutionize the industry.
A bot might someday take your job, but perhaps it can help you negotiate a nice severance package, too.
The beauty and skincare world is oversaturated, especially if you include all the affordable convenience store brands. If you’re a shopper with a budget, you are likely mixing different products and blindly guessing which combinations will work – like a chemist without a periodic table.
Ashok Goel needed help. In his regular courses at Georgia Tech, the computer science professor had at most a few dozen students. But his online class had 400 students — students based all over the world; students who viewed his class videos at different times; students with questions.
Researchers say artificial intelligence will soon be able to detect a person’s political allegiance – just by looking at photos of their face. We’ve put together a quiz to see if you can beat the algorithms and work out, from someone’s face, their political allegiance. We’ve chosen 15 pictures of city councillors from Bristol, Connecticut and San Diego – eight Democrats, seven Republicans. Can you figure out which is which?
Explore the Amazon AI stack of capabilities that provide cloud-native machine learning and deep learning technologies for all developers and data scientists.
The first TPU, shown off last year as a special-purpose chip designed specifically for machine learning, is used by the AlphaGo artificial intelligence system as the foundation of its predictive and decision-making skills. Google also uses the computation power of TPUs every time someone enters a query into its search engine. More recently, the technology has been applied to machine learning models used to improve Google Translate, Google Photos, and other software that can make novel use of new AI training