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  • How Industrial IoT is Transforming Manufacturing

    Sponsored by: Bayshore Networks

    Data, data, data – with the advent of IoT, it's both one of the most promising and one of the most missed out on opportunities in the manufacturing industry today. In this e-guide, we explore the world of industrial IoT (IIoT) and how to leverage its massive data with analytics and machine learning.

  • 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.

  • Data Science and Big Data: Enterprise Paths to Success

    Sponsored by: OpenText

    This TDWI report reveals best practices for big data and data science. Discover organizational strategies for deploying data science, big data technology options, tips for gaining value in big data and analytics, 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.

  • Analytics in Action: Tackling the Big Data Headache

    Sponsored by: SAS

    Find out how to take the big data challenge and turn it into a golden opportunity for your company with new approaches to data management and analytics. Learn about 5 steps to maximize the value of Hadoop and your data warehouse, 3 use cases for predictive analytics, and more.

  • Forbes Insights: Using Big Data to Elevate the Customer Experience

    Sponsored by: SAS

    This resource explains how you can implement big data analytics to improve your customer's experience. You'll learn how best to tackle data integration challenges and how to share information with customers in an effective manner.

  • Customer Analytics: Taking the First Step

    Sponsored by: SAS

    In this white paper, learn about a program that can help you gain better customer insights through data visualization. Discover how intuitive dashboards, predictive analytics, and more can help you gain a better view of what your customers want; both now and in the future.

  • 3 Use Cases for Interactive Data Discovery and Predictive Analytics

    Sponsored by: SAS

    Explore how interactive data discovery and predictive analytics mitigate everyday data problems by allowing you to identify important trends and relationships in data sets. This also allows users to collaborate with specialists to create and select the best predictive models. Here are 3 use cases that show you how.

  • Streaming Analytics FAQ: What You Need to Know

    Sponsored by: SAS

    What are you doing to gain greater data insights and thus, improve your competitive advantage? Learn which technologies your peers are using to remain competitive, cut costs, and increase efficiency. (Hint: Streaming analytics is a huge game changer; we'll show you why.)

  • Cognitive Research for Cars of the Future

    Sponsored by: IBM

    In this webcast, learn how BMW is putting IBM's Watson to work while personalizing the driving experience through IoT data analytics.

  • Introducing IBM Watson Data Platform

    Sponsored by: IBM

    Watch this brief video to learn about IBM Watson, the intelligent data platform that's making data simple and accessible across organizations, empowering collaborative users with fast, actionable insights.

  • The Importance of Open Ecosystem Analytics

    Sponsored by: SAS

    In this white paper, learn more about why organizations are adopting these open source analytics programs, as well as what the SAS analytics ecosystem can provide.

  • Complex and Always-On Big Data: Why You Need a New Approach

    Sponsored by: SAS

    Explore the 3 crucial trends currently shaping the fast-paced world of data management. Find out how to manage your data effectively throughout its entire lifecycle – not just when it's stored or analyzed – and uncover 3 steps to transform your strategies for the evolving data landscape.

  • Honda Automotive Improves Its R&D and Operations With New Insights From Engineering Data

    Sponsored by: IBM

    Watch this brief video case study to find out how Honda used IBM Analytics to create actionable insights to improve their Research & Development department's decision-making.

  • Better Together? Hadoop and Your Enterprise Data Warehouse

    Sponsored by: SAS

    Explore ways to overcome the challenges of moving your entire data warehouse to Hadoop. Plus, hear from big data expert Tom Davenport on augmenting small data projects with Hadoop big data initiatives.

  • Managing IoT Data: What to Consider

    Sponsored by: Bayshore Networks

    In this interview with Carrie MacGillivray, the vice president for IDC's IoT and mobility teams, learn about two key issues: How to protect IoT data, and how to transform it into meaningful insights that enhance decision-making.

  • Embedding Analytics in the Organization

    Sponsored by: SAS

    How can organizations embed analytics more thoroughly? Find out how in this research brief from the International Institute for Analytics. Access now and discover how to execute 5 common success factors.

  • HBR Insights The Next Analytics Age: Artificial Intelligence

    Sponsored by: SAS

    Machine intelligence tools can aid with monitoring and predicting, and with coaching and training. Learn more about what artificial intelligence can do, how it will change companies and the way we manage them, and more.

  • The Essential Guide to Machine Data

    Sponsored by: Splunk

    Leveraging machine data, while incredibly valuable, can be a challenge. This book provides a high-level overview of the value you can get from the machine data on your network and most importantly how to get it.

  • The Essential Guide to User and Application Machine Data

    Sponsored by: Splunk

    This book provides a high-level overview of the value you can get from the machine data created by your applications and users and how to get it.

  • Managing Machine Data from POS, IoT, Sensors, and Other Data Sources

    Sponsored by: Splunk

    This white paper explores how to enhance your big data strategies so that you can derive actionable intelligence from your organization's machine data. Discover how to optimize the value of your machine data from point-of-sales (POS) systems, IoT sensors, smart devices, and more to support analytics and data security.

  • Middleware and Operating System Machine Data

    Sponsored by: Splunk

    This white paper explores how to enhance your big data strategies so that you can derive actionable intelligence from your organization's machine data. Find out how to optimize the value you get from the machine data created by middleware and OS and support data security, analytics, and more.

  • The Essential Guide to Machine Data

    Sponsored by: Splunk

    This brief webcast explores the concept of machine data and how it works. Find out how to unify access to and correlate data between IT, app development, and security to monitor and prevent critical data breaches.

  • 3 Ways to Modernize Your Data Strategy in Minutes

    Sponsored by: Google Cloud

    Today's organizations are rushing to create actionable insights out of their big data, and this starts with modernizing data warehouses. This white paper provides 3 tips to making your warehouse stronger, smarter, and more profitable.

  • Digital Business Means Managing Complexity

    Sponsored by: Splunk

    Many digital businesses are generating hundreds of terabytes of data per day. Learn how to turn big data noise into valuable IT and business information.

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