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Accelerate data science and AI project delivery with IBM Watson Studio Premium for Cloud Pak for Data.
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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.
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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.
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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.
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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.
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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.
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Accelerate data science and AI project delivery with IBM Watson Studio Premium for Cloud Pak for Data.
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IBM Watson OpenScale is an open platform that helps remove barriers to enterprise-scale AI.
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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.
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Data science and AI simplified for you. The maturity of AI and machine learning (ML) use has reached a point where businesses of all sizes are using the technology as key strategic technology enablers. As an analytic and data science professional, you’re in control. You can empower people in centers of excellence (COE) and line of business (LOB) to C-level executives with scalable insights with trust and transparency. Data Science competency is critical for your business to increase predictability, optimize operations and govern use of AI. To succeed, leaders of your organization must harness the power of machine and human intelligence—data, talent and tools—while extracting actionable insights faster than ever. However, you have to bring your AI and ML experimentation into production to drive results while tackling your data and talent challenges. The question is, how will you innovate and move your business forward while preparing your data and analytics practice to harness the power of AI?
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Quantify the potential value of your AI investments: Know the value drivers including revenue growths, cost savings and improved risk posture. Transform customer experience, streamline operations and detect fraud by augmenting human expertise. Generate metrics that quantify exactly what AI provides, including expected ROI, payback period and net present value (NPV). Use the Business Value Assessment to uncover the relative magnitude of value you can extract from investing in data science and AI.
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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.