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  • Logo: IBM

    Open Source and IBM SPSS Modeler

    Read this IBM Analytics paper to find out how to handle these drawbacks by getting the right data tools to the right people and leveraging popular open source tools with IBM® SPSS® Modeler software. Learn more.

  • Logo: IBM

    Machine Learning for Dummies

    Read Machine Learning for Dummies so you can understand machine learning fundamentals, make sense out of machine learning algorithms, and build your data science team to take advantage of this new technology. Learn more.

  • Logo: IBM

    Forrester Study: The Total Economic Impact of IBM SPSS Modeler

    Find out how enterprise data science with a visual and programmatic approach can improve your business results; complete the form to access the Study.

  • Logo: IBM

    Open Source and IBM SPSS Modeler

    Read this IBM Analytics paper to find out how to handle these drawbacks by getting the right data tools to the right people and leveraging popular open source tools with IBM® SPSS® Modeler software. Learn more.

  • Logo: IBM

    Machine Learning for Dummies

    Read Machine Learning for Dummies so you can understand machine learning fundamentals, make sense out of machine learning algorithms, and build your data science team to take advantage of this new technology. Learn more.

  • Logo: IBM

    The Forrester Wave™: Enterprise Insight Platforms, Q1 2019

    In our 21-criterion evaluation of enterprise insight platforms (EIPs), which combine data management, analytics, and insight application development tooling, we identified the nine most significant ones — EdgeVerve, GoodData, Google, IBM, Microsoft, Reltio, SAP, SAS, and TIBCO Software — and researched, analyzed, and scored them. This report shows how each provider measures up and helps CIO professionals make the right choice when selecting an enterprise insight platform.

  • Logo: IBM

    Forrester Study: Unlock The Power Of Data To Transform Your Business

    Realize The Full Value Of Your Data With Initiatives And Integrated Tools That Span Data, Analytics, And Machine Learning To Outpace The Competition.

  • Logo: IBM

    The Forrester Wave™: Enterprise Insight Platforms, Q1 2019

    In our 21-criterion evaluation of enterprise insight platforms (EIPs), which combine data management, analytics, and insight application development tooling, we identified the nine most significant ones — EdgeVerve, GoodData, Google, IBM, Microsoft, Reltio, SAP, SAS, and TIBCO Software — and researched, analyzed, and scored them. This report shows how each provider measures up and helps CIO professionals make the right choice when selecting an enterprise insight platform.

  • Logo: IBM

    Forrester Study: Unlock The Power Of Data To Transform Your Business

    Realize The Full Value Of Your Data With Initiatives And Integrated Tools That Span Data, Analytics, And Machine Learning To Outpace The Competition.

  • RedHat

    Modernize Application Delivery with Container Platforms (datasheet)

    Containers affect tools, groups, and processes across infrastructure, DevOps, and application development—and each must be addressed in parallel to ensure secure, successful adoption. Red Hat® Consulting helps customers successfully implement container platforms and establish the necessary process and strategy changes for an agile foundation for application development.

  • RedHat

    Building modern applications with Linux and containers eBook

    In a world where users demand new applications, features, and updates across all their devices in real time, container technology is critical. Containers let developers work smarter by creating consistent environments to rapidly develop and deliver cloud-native applications that can run anywhere. Read this e-book to learn more.

  • RedHat

    Executive Cloud-native Platform Checklist

    Access to data anytime and anywhere is a requirement in both our personal and professional lives. This checklist will help organizations choose a cloud-native platform by helping to assess business needs and impacts. Find out more.