IBM launches 26 new cloud services for data scientists

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Written by Business Cloud News

IBM2IBM is launching 26 services new services on its IBM Cloud which it describes as a ‘sweeping portfolio for data scientists and app developers’. Its new offering includes 150 publicly available datasets.

The new initiative aims to help developers build and manage applications and help data scientists to read events in the cloud more intuitively. The hybrid cloud service scans multiple cloud providers and uses open systems which, IBM says, will create a ready flow of data across different services.

The new cloud offerings will create a self-service for data preparation, migration and integration, IBM claims, with users being provided with tools for advanced data exploration and modelling. The four main pillars of the new service offering come under the headings of Compose Enterprise, Graph, Predictive Analytics and Analytics Exchange.

The IBM Compose Enterprise is a managed platform that aims to help developers build web-scale apps faster by giving them access to resources such as open source databases and their own their own dedicated cloud servers. Graph is a managed graph database service built on Apache TinkerPop with a stack of business-ready apps with real-time recommendations, fraud detection, IoT and network analysis uses. Predictive Analytics promises developers easy self-build machine learning models from a library of predictive apps generally used by data scientists. Analytics Exchange contains the catalogue of 150 publicly available datasets.

The Apache TinkerPop and the Gremlin graph traversal language will be the primary interface to IBM’s Graph service. IBM has previously pushed TinkerPop to join the Apache Software Foundation. In September BCN reported that IBM is to open a San Francisco facility with resources dedicated to IBM’s new Spark processing technology as the vendor seeks to get Spark users interested in IBM’s Watson developer cloud.

Data handlers are currently handicapped by having to use disparate systems for data needs, IBM claims. “Our goal is to move data into a one-stop shop,” said Derek Schoettle, General Manager, Analytics Platform and Cloud Data Services.