Machine Learning

Infuse continuous intelligence into your enterprise using machine learning. Dramatically improve the productivity of your data science team.

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Read the latest analyst report.

Read this report to learn how predictive analytics and machine learning solutions help data scientists be more productive and find out why IBM earned a place in the Leaders category.

The Forrester Wave™: Predictive Analytics and Machine Learning Solutions, Q1 2017

Productivity

Make your experienced and novice data scientists more productive.

Trust

Confidently deploy insights knowing they were generated from the most current data and trends.

Freedom

Choose the right language and machine learning framework for your business. Don’t get locked into only one.

Featured solutions

IBM Machine Learning for z/OS

An on-premise machine learning solution that extracts hidden value from enterprise data. You can quickly ingest and transform data to create, deploy and manage high quality self-learning behavioral models using IBM z Systems data.

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IBM Watson Machine Learning Service

IBM Watson Machine Learning is built on IBM's proven analytics platform, making it easy for developers and data scientists to make smarter decisions, solve tough problems, and improve user outcomes.

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IBM Data Science Experience

Now you can create value faster using the best of open source and IBM together. Built for data scientists by data scientists, the IBM Data Science Experience is a cloud-based, social workspace that helps data professionals consolidate create and collaborate across multiple open source tools such as R and Python.

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Customer Success
Stories

U.S.A. Cycling Women’s team

The U.S.A. Cycling Women’s team employed cloud, mobile, and analytic technologies to increase performance in Team Pursuit, a four-kilometer cycling event.

SolutionInc

High-demand public Wi-Fi provider, SolutionInc, analyzed its massive Wi-Fi data log covering a 2-year period using Spark to generate deeper and more precise business insights.

SETI Institute

Researchers at the SETI (Search for Extraterrestrial Intelligence) Institute analyzed signal data from the Allen Telescope Array using limited algorithms to detect real-time signal patterns.

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