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.

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.

ARMONK, N.Y. and LONDON, Dec. 11, 2025 /PRNewswire/ -- IBM (NYSE: IBM) and Pearson (FTSE: PSON.L), the world's lifelong learning company, today announced a global partnership to build new personalized ...

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IBM Machine Learning leverages parts of Watson to help train and deploy analytics models in the private cloud, to first be used with the IBM z System Mainframe. IBM will soon bring some of the core ...

IBM Research has achieved a new milestone in distributed deep learning (DDL), building software that scales up DDL across hundreds of GPUs at near-ideal efficiency. The research tackles one of the ...

In a world that requires increasing amounts of compute power to handle the resource-intensive demands of workloads like artificial intelligence and machine learning, IBM enters the fray with its ...

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