IBM on Feb. 15 launched a new product that should fit in nicely with its Watson artificial intelligence service inside a mainframe-based private cloud environment: IBM Machine Learning. The company ...

IBM wants to bring machine learning to its traditional mainframe customers, and eventually to any technology with large data stores hidden behind a company firewall in what IBM calls a “private cloud.

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 ...

z System users with data behind their firewalls can now access IBM's training and deployment system for machine learning, packaged for convenience If you’re intrigued by IBM’s Watson AI as a service, ...

Today IBM announced IBM Machine Learning, the first cognitive platform for continuously creating, training and deploying a high volume of analytic models in the private cloud at the source of vast ...

IBM has fulfilled its promise to open-source SystemML, a machine learning system that’s now been accepted as an Apache Incubator project. It’s a significant milestone for SystemML, which is already ...

IBM followed Google's lead in donating machine learning technology to the open source community, providing developers with more resources for their Big Data predictive analytics projects. IBM last ...

What we call machine learning can take many forms. The purest form offers the analyst a set of data exploration tools, a choice of ML models, robust solution algorithms, and a way to use the solutions ...

IBM on Monday said its machine learning system, dubbed SystemML, has been accepted as an open source project by the Apache Incubator. Machine learning, task automation and robotics are already widely ...

As machine learning becomes more pervasive in the data center and the cloud there will be a need to share and aggregate information and knowledge but without exposing or moving the underlying data.

IBM Corp. said today it’s hoping to provide a standardized solution for developers to create and deploy machine learning models in production and make them portable to any cloud platform. To do so, it ...