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  • ESG Technical Validation: Predict and Optimize Business Outcomes with IBM Decision Optimization for Watson Studio and IBM Cloud Pak for Data

    ESG recently completed testing of IBM Decision Optimization for Watson Studio, which is designed to enable organizations to accelerate the value they can extract from AI more easily. Testing examined how IBM Watson Studio with Decision Optimization collects data, organizes an analytics foundation, and analyzes insights at scale—with a focus on the ease of operationalizing AI and data science to improve trust, simplify compliance, and speed monetization.

  • Modern Data Science: Best Practices for Predictive Analytics

    Data science and machine learning provides the basis for business growth, cost and risk reduction and even new business model creation. Implementing predictive analytics does present some challenges, however. The process can be complex, and it can be difcult to find data scientists and analysts with a mix of the right skillsets. A drag and drop, visual data science tool, exemplified by IBM SPSS Modeler, enables rapid creation of machine learning models while making it easy to collaborate with data science and analytics teams as a whole. In this paper, members of IT Central Station who use IBM SPSS Modeler share their experiences and ofer insights and recommended best practices for data science and machine learning.

  • A business guide to modern predictive analytics

    This guide will help your business perform the following actions: 1) Navigate the modern predictive analytics landscape; 2) Identify opportunities to grow and enhance your use of AI; 3) Empower both data science teams and business stakeholders to deliver value fast.

  • Speed time to better AI outcomes

    Accelerate data science and AI project delivery with IBM Watson Studio Premium for Cloud Pak for Data.

  • The Forrester Wave™: Multimodal Predictive Analytics And Machine Learning Solutions

    In our 24-criteria evaluation of multimodal predictive analytics and machine learning (PAML) providers, we identified the 13 most significant ones — Dataiku, Datawatch, FICO, IBM, KNIME, MathWorks, Microsoft, RapidMiner, Salford Systems (Minitab), SAP, SAS, TIBCO Software, and World Programming — and researched, analyzed, and scored them. This report shows how each provider measures up and helps enterprise application development and delivery (AD&D) leaders make the best choice.

  • OpenSource and IBM SPSS Modeler

    A successful data-driven organization has to provide the right tools for its data analysts, developers, and business endusers. Increasingly, this means leveraging open-source software. But for all their benefits, popular open-source data programs also come with potentially time-consuming drawbacks. This paper will discuss how to handle these drawbacks, and get the right data tools to the right people, by leveraging popular open source tools with IBM® SPSS® Modeler software.

  • The Future of AI is flexible: IBM chief scientist Ruchir Puri on IBM Cloud Pak for Data

    Register now to watch IBM Research Chief Scientist Ruchir Puri and Watson's Betsy Schaefer talk about the new flexibility to deploy Watson anywhere -- on the IBM Cloud, or on third-party clouds or hybrid clouds. Learn how to get started, hear about the deployment experience, and see the most common patterns with which clients are succeeding. In addition, Ruchir will give you a sneak peak into the future of AI.

  • The Forrester New Wave™: Conversational Computing Platforms

    IBM Watson Assistant is named as a leader in conversational computing. It has become increasingly important for businesses to build engaging interactions that deliver value to their customers, and IBM is proud to offer technologies that help developers and enterprises enhance those experiences. The report evaluated the most significant conversational computing platforms, diving into each vendor’s current offering and strategy and including customer feedback. IBM was cited for its developer-friendly tools and enterprise expertise requirements, which give developers access to the tools and technologies they need, while providing industry and enterprise support for their businesses.

  • The Forrester Wave™: Multimodal Predictive Analytics And Machine Learning Solutions

    In our 24-criteria evaluation of multimodal predictive analytics and machine learning (PAML) providers, we identified the 13 most significant ones — Dataiku, Datawatch, FICO, IBM, KNIME, MathWorks, Microsoft, RapidMiner, Salford Systems (Minitab), SAP, SAS, TIBCO Software, and World Programming — and researched, analyzed, and scored them. This report shows how each provider measures up and helps enterprise application development and delivery (AD&D) leaders make the best choice.

  • Speed time to better AI outcomes

    Accelerate data science and AI project delivery with IBM Watson Studio Premium for Cloud Pak for Data.

  • Manage AI, with trust and confidence in business outcomes

    IBM Watson OpenScale is an open platform that helps remove barriers to enterprise-scale AI.

  • A business guide to modern predictive analytics

    This guide will help your business perform the following actions: 1) Navigate the modern predictive analytics landscape; 2) Identify opportunities to grow and enhance your use of AI; 3) Empower both data science teams and business stakeholders to deliver value fast.