From Facebook to your local bakery, enterprises that want to implement AI must collect massive amounts of data. Now, experts are learning that collecting the right types of data and having clean data for machine learning algorithms could be the biggest key to AI success.

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A thorough effort to understand your own unique ML and decision needs, combined with a review of current solutions, will get you on a path to successful ML adoption.

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The technology could have a surprising use.

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Digital agency AKQA recently commissioned a recurrent neural network to craft an entirely new sport. The Design Week Portland project processed data from over 400 sports around the globe, outputting more than 1,000 concepts. Humans then combed through the candidates…

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In recent years, we’ve seen an increasing number of so-called “intelligent” digital assistants being introduced on various devices. Although the technology behind these applications keeps getting better, there’s still a tendency for people to be disappointed by their capabilities -- the expectation…

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Big data and AI solutions can help businesses analyze the large datasets to extract meaningful patterns that can aid in better decision-making

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While there are several different methods available for market forecasting, it is still a tedious, costly, ineffective and outdated process. So, how will machine learning change market forecasting?

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This technology, often called a gateway to AI, is sweeping across Corporate America.

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