Earlier in this decade, when the hyperscalers and the academics that run with them were building machine learning frameworks to transpose all kinds of data from one format to another – speech to text, ...

With the ability to revolutionize everything from self-driving cars to robotic surgeons, artificial intelligence is on the cutting edge of tech innovation. Two of the most widely recognized AI ...

APIs for Watson are available through IBM's Bluemix cloud service, covering the likes of machine translation to rendering visualizations of data Those who have been chomping at the bit to use IBM’s ...

Built on Watson and SPSS predictive analytics, IBM's cloud machine learning services address the needs of developers, data scientists, and businesses The IBM Watson AI system drew the world’s ...

Correction: A previous version of this article misstated Watson's contributions to the Teladoc platform. Watson does not offer diagnoses. With the acquisition of Best Doctors last summer, telemedicine ...

IBM (NYSE:IBM) announced IBM Watson Data Platform to help companies gain more valuable insights from data. The platform delivers the world’s fastest data ingestion engine and cognitive-powered ...

Apple and IBM may seem like an odd couple, but the two companies have been working closely together for several years now. That has involved IBM sharing its enterprise expertise with Apple and Apple ...

Machine learning is the fastest growing area of computer science, but it's typically the domain of specialists. IBM aims to open it up to domain experts at its Enterprise customers to model their own ...

ESG recently completed testing of IBM Watson Studio and Watson Machine Learning, which are designed to enable organizations to accelerate the value they can extract from AI more easily. Testing ...

Apple and IBM are rolling out new set of integrations that expand on their existing pact to bring enterprise apps to iOS devices. First, the companies are linking up their respective AI and machine ...

“Machine learning is incredibly powerful, but many of today's data professionals lack the skills to fully exploit it for business and the ability to effectively collaborate on datasets,” said Bob ...