With IBM Cloud, you can:

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Collaborate in teams across functions to access all trusted data and best-in-class technologies.

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Use multiple analytics technologies to learn from the data and quickly get new answers for the business.

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Deliver new insights to the business quickly, and continuously improve them through rapid iteration.

Make smarter decisions

IBM Cloud provides data and AI services and tools. It features embedded intelligence capabilities through machine learning.

Combine these cloud services to reveal insights.

Decode social conversations using Spark and Watson

Learn how to build a Spark Streaming app with Watson Tone Analyzer to track how a conversation is trending on Twitter or predict future events based on a trove of existing data.

Pick the right analytics service for your cognitive app

Each IBM analytics service can be deployed in the cloud, on premises or in a hybrid environment. IBM Cloud solutions allow you to easily analyze the data and build machine learning models that can be deployed in cognitive applications.

Analytics Engine

A combined Apache Spark and Apache Hadoop service for creating analytics applications.

Apache Spark

Versatile, open-source cluster computing framework with fast, in-memory analytics.

Decision Optimization

A self-service decision environment designed to harness optimization-based support.

Information Server on Cloud

Understand, govern, create, maintain, transform and deliver quality data

Master Data Management on Cloud

Gain a trusted view of data in a hybrid computing environment.

Streaming Analytics

Analyze a broad range of streaming text, video, audio, geospatial and sensor data.

Success stories

Emory University Hospital

Learn how Emory University Hospital is using IBM Streams to collect and analyze intensive care unit patient data, speeding the delivery of lifesaving insight by 95 percent. The outcome is better care while cutting costs.

SETI Institute

The SETI Institute has traditionally focused on real-time detection of narrow band radio signals using custom systems installed at the Allen Telescope Array. Now, with IBM’s help, the Institute is expanding its search to include large-scale analysis of its 10-year archives, wide-band signal processing and new long-duration observations.


BlocPower is a startup based in New York City. Its technology and finance platform develops clean energy projects in American inner cities. Powered by IBM Data Science Experience, BlocPower performed a comprehensive energy audit of each property to determine the correct mix of high-efficiency technology to reduce each customer's energy consumption.

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Analyzing Twitter Sentiment Using Apache SparkTM on IBM Cloud

Data integration on Hadoop with IBM BigInsights


Apache Spark and IBM Streams Working Together in Streaming Analytics

Watch this webcast to learn how to process the data to arrive at a model and how the resulting model can be used to score streaming data using IBM Streams.

Access essential analytics services