IBM is pushing it as a pipeline for building, managing, and running machine learning models through visual tools for each step of the process and RESTful APIs for deployment and management. There ...

Head-to-head comparison: Azure Machine Learning vs. IBM Watson Model training and development. Azure ML offers more features for data preparation, transformation, normalization and model training ...

There, individuals can work through courses like Big Data 101 or Machine Learning 101 and go on to earn an IBM badge. These badges are valuable digital transcripts and create what Leaser called a ...

Researchers at IBM are developing ways to reduce bias in machine learning models and to identify bias in data sets that train AI, with the goal of avoiding discrimination in the behavior and ...

IBM Machine Learning allows data scientists to automate the creation, training and deployment of operational analytic models that will support the following: Any language (e.g., Scala, Java, Python) ...

New machine learning platform enables data scientists to automate the creation, training and deployment of operational analytic models.

IBM wants to bring some core Watson machine learning smarts to its mainframe clients — and eventually to any computing done inside the data center — to allow them to take advantage of all that ...

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 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 ...