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IBM Announces Expansion of Cloud Data and Marketplace Services for Developers

Wednesday, February 10, 2016

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FREMONT, CA: IBM announces a broad expansion of its cloud services portfolio by adding 25 new services. IBM cloud will help developers build, deploy and manage web and mobile applications.

The new cloud services enable data scientists to discover hidden trends using data and analytics in the cloud itself. The hybrid cloud services can be deployed across multiple cloud providers and are based on open source technologies and open ecosystems that include company and third-party data. It is also based on open architecture which allows easy flow between different sources.

 The new cloud features a range of services from data preparation, migration, and integration, to tools for advanced data exploration and modeling. It also incorporates the following features:

IBM Compose Enterprise

IBM Compose Enterprise a platform that helps developer teams build web-scale apps faster by allowing them to deploy business ready open-sources database quickly on their own dedicated cloud services.

IBM Graph

 The IBM Graph features a graph database, built on Apache TinkerPop, which provides developers a complete stack to extend business-ready applications incorporating real-time recommendations, fraud detection, Internet of Things and network analysis uses. IBM Graph helps remove the complexities traditionally associated with moving data from existing databases to graph architectures.

IBM Predictive Analytics

 IBM Predictive Analytics is a service that allows developers to self-build machine learning models from a broad library into applications to help predict specific product use cases, without the help of a data scientist.

IBM Analytics Exchange

 IBM Analytics Exchange is an open data exchange that includes a catalog of more than 150 publicly available datasets which can be used for analysis or it can be integrated into applications.

“Data is the common thread within the enterprise, regardless of where its source might be. In the past, data handlers have relied on disparate systems for data needs, but our goal is to move data into the future by providing a one-stop shop to access, build, develop and explore data,” says Derek Schoettle, General Manager, Analytics Platform and Cloud Data Services. “IBM’s integrated Cloud Data Services give developers greater scalability and flexibility to build, deploy and manage web and mobile cloud applications, and enable data scientists to apply information across businesses efficiently.”

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