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  • Logo: IBM

    Quantify the potential value of your AI investments

    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 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.

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    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.

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    The Forrester Wave™: Cognitive Search, Q2 2019

    Learn why Forrester named IBM Watson Discovery as a Leader in AI search in the 2019 Forrester Wave™: Cognitive Search report. You'll understand how AI search is unlike traditional search tools, including how it can empower your experts to do more meaningful work in less time. 

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    Gartner Magic Quadrant for Insight Engines

    Watson Discovery, IBM's AI powered search capability, doesn't just extract information; it crawls complex business documents and serves up answers with context, both on-demand and proactively via a simple natural language search, giving businesses insights impossible to derive otherwise. Clients across a variety of industries have seen positive results leveraging Watson Discovery; Australian energy company, Woodside, has experienced a 75% decrease in time employees spend searching for expert knowledge.

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    O'Reilly Report: The Evolution of Conversational AI

    Written by IBM's conversational AI experts, this report demonstrates the market opportunity for conversational AI and outlines the use cases that will enhance your customer service and drive value across your organization. 

  • Monitoring Containerized Application Environments with eBPF

    Gaining full visibility into network traffic in complex environments requires integrating network packet analysis and system events. Learn more!

  • Why Personal Growth is Your #1 Retention Strategy for 2020

    Read this Digital Dialogue to learn about new evaluation tools that promote employee retention by utilizing Self Development Objectives, and focusing on the employee as a person rather than their role in the firm.

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    Six Reasons to Upgrade Your Data Science

    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.

  • Logo: IBM

    ESG Technical Validation on IBM Watson Studio and Watson Machine Learning

    ESG recently completed testing of IBM Watson Studio and Watson Machine Learning, which are designed to enable organizations to accelerate the value they can extract from AI more easily. Testing examined how IBM Watson Studio and Watson Machine Learning collect data, organize an analytics foundation, and analyze insights at scale—with a focus on the ease of operationalizing AI and data science to improve trust, simplify compliance, and speed monetization.

  • Active Data Quality is the Blueprint for Digital Transformation: Analytics, Compliance & Customer Experience

    Onboarding quality customer data across all sources is essential to improve the customer experience and meet compliance while cutting costs. Melissa’s AI-enabled active data quality solutions ensure your rising data volumes comply with business rules and are analytics ready.

  • RedHat

    Digital Innovation Through Agile Integration

    The ability to integrate APIs from multiple sources is critical to success. New approaches to enterprise integration, backed by flexible, cloud-ready technologies, are necessary. Agile integration, an architectural approach, combines agile methods and practices with technologies for the purpose of rapidly integrating applications and data.