Watson Analytics, a cloud-based natural language service that aims to simplify and streamline predictive data analytics for businesses, creating handy visualisations in the process. The supercomputer ...

Natural language processing (NLP) and natural language generation (NLG) have been the big artificial intelligence (AI) message of 2018. Nearing the end of it, there’s an interesting press release from ...

LONDON--(BUSINESS WIRE)--Quantzig, a global data analytics and advisory firm that delivers actionable analytics solutions to resolve complex business problems has announced the completion of its ...

Retrieving the Google Analytics metrics you care about is now as easy as asking for them using natural language. Google has rolled out the ability to navigate Google Analytics’ interface by typing ...

eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Seattle-based Marchex is looking to vastly improve how ...

People have been trying to use computational methods to analyze human language for over 50 years, but it's only recently that NLP has come into its own. Natural language processing is a type of ...

Natural language processing technology is being integrated with electronic health records and finding its way into the big data and analytics realms, often focusing on enhancing provider workflow and ...

There is a lot of excitement in the market about artificial intelligence (AI), machine learning (ML), and natural language processing (NLP). Although many of these technologies have been available for ...

It wasn’t too long ago that talking to a computer and having it not only understand, but speak back, was confined to the realm of science fiction, like that of the shipboard computers of Star Trek.

If you’ve ever had to call a customer help line or other call center, you probably experience a shiver of dread at the mere thought. Some customer help lines are so reviled that people would rather ...

Hype is always with us. In part, this is because however much technology companies know that meticulously researched market requirements should trump technology for its own sake, they can’t help ...