With IBM Cloud, you can:

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Connect

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

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Discover

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

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Accelerate

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.

Watson Studio

Build and train AI models, and prepare and analyze data, all in one integrated environment.

Watson Knowledge Catalog

Intelligent data and analytic asset discovery, cataloging and governance to fuel AI apps.

Watson Machine Learning

Create, train and deploy self-learning models using an automated, collaborative workflow.

Deep Learning

Design and deploy deep learning models using neural networks; easily scale to hundreds of training runs.

Data Refinery

A self-service data preparation tool for data scientists, engineers and business analysts.

Streams Designer

A web-based development tool for building streaming 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.

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

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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Videos

Analyzing Twitter Sentiment Using Apache SparkTM on IBM Cloud

Data integration on Hadoop with IBM BigInsights

Streaming analytics at the Roskilde Music Festival

Webinar

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