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  • The Next Step for Advanced Analytics: Data Science Platforms

    Sponsored by: SAS

    To help you survey the field of available options and pick the best data science platform for your business, this Gartner Magic Quadrant evaluates 16 of the top vendors and their offerings. From IBM and SAP to SAS and Quest, find out which platforms came out on top for advanced analytics, machine-learning, data integration, and more.

  • Best Practices for a Seamless Omnichannel Customer Experience

    Sponsored by: Genesys

    Find out how to create memorable customer experiences, map out the customer lifecycle, and align customer experiences with your brand values with 6 best practices.

  • IoT Data: MindSphere Use Case and App Evaluation

    Sponsored by: Atos

    Discover how to keep the wealth of industrial IoT (IIoT) data from going to waste by using an open IoT operating system to transform data into actionable insights. Learn about MindSphere – a scalable, cost-effective cloud platform that enables manufacturers to access and analyze production data from their mobile devices.

  • Vitria VIA IoT Analytics Platform Overview

    Sponsored by: Vitria Technology, Inc.

    This brief webcast examines Vitria and their real-time IoT analytics platform. Learn how to generate faster insights to drive smarter decision-making and bolster IoT business strategies, predictive analytics, data visualizations, and more.

  • How Telco Providers can Enable Real-Time Analytics and Decision-Making

    Sponsored by: Aerospike

    Discover how Telco Service Providers (TSPs) can provide seamless, connected experiences with insights from big data architectures and advanced analytics. Find out how to enable real-time decision-making with analytics capabilities that support network management, CEM, and digital innovation.

  • Consolidate Your Office Systems and Eliminate "App Overload"

    Sponsored by: Sage (UK) Limited

    As businesses grow, they incorporate an increasing number of traditional and cloud-based apps – leading many organizations to run into an issue with app overload. Find out how to avoid app overload and consolidate your apps and disparate software systems in a single cloud environment.

  • Machine learning technology, techniques add new analytics smarts

    Sponsored by: IBM

    Companies are tapping machine learning technology and techniques to boost analytics capabilities. But these often require new analytics systems and can create data management challenges. In this expert handbook, learn how to make sure your organization's use of machine learning technology and techniques has a sharp focus on the business benefits.

  • Supply Chain Management & IoT: Just Another Evolution?

    Sponsored by: Vitria Technology, Inc.

    How are big data and IoT impacting supply chain management and ERP? Find out how to harness the power of these two trends to optimize supply chains with data lakes, real-time streaming analytics, predictive insights, and more.

  • Discovering the Business Value of Streaming Analytics

    Sponsored by: SAS

    If you're looking to take advantage of the massive value buried in IoT data, access this article to learn about streaming analytics, how it differs from traditional analytics, and how it translates into rich, real-time insights.

  • How to Plan Your SAP SuccessFactors HCM Suite Implementation

    Sponsored by: AltaFlux

    In this e-guide, SAP expert Luke Marson offers advice on how to plan your SuccessFactors implementation by taking a proactive view of your key pain points and integration needs for Employee Central, HRIS, ERP, and Workforce Analytics.

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