TDWI White Paper Library
TDWI maintains this library of white papers as a resource for in-depth research and commentary about the big data, business intelligence, data warehousing, and analytics industry. The content in this repository is crafted by TDWI's software and consulting partners. To find out how your company can promote its content in this library, click here.
In the past few years, artificial intelligence and machine learning technologies have both become more prevalent and feasible than ever before. Discover how developers are approaching these new tools and ideas and why they are interested.
All kinds of valuable patterns and insights are contained in textual content, such as emails, memos, customer service chats, social media streams, and news articles. The problem is extracting the value.
In this paper, we outline some basic concepts of cognitive computing and explain how we are using it in OpenText Magellan, an artificial intelligence-powered analytics and business intelligence platform.
Today, data is the lifeblood of every enterprise. In order to succeed in this customer-centric era, data insights must inform every function of the business, including customer experience, operations, marketing, sales, service, and finance. This white paper describes how organizations that understand how data is used can prioritize their analytics efforts to find the most valuable and actionable insights on a regular basis.
Learn how this global developer of telecommunications electronics equipment is using big data analytics to deliver advanced predictive network analytics for Telecom Service Providers, enabling them to improve customer experience and optimize service performance for subscribers.
Download this case study and learn how Suunto, an extreme-sport watch manufacturer, is analyzing massive data volumes generated by millions of weekly customer training sessions rapidly and reliably.
Download this case study and learn how Supercell, a mobile gaming developer, is using big data analytics to improve customer service by augmenting player support. See how they were able to reduce query times from hours to minutes or seconds, enabling them to react faster, fix problems and improve customer experience.