EGUIDE:
To paraphrase the eternally wonderful Sesame Street: this year's telecoms industry has been brought to you by the number "5", and the letter's "G" and "H". Here is Computer Weekly's top 10 list of what was driving the telecoms industry during 2019.
EGUIDE:
In this case study, learn how India's largest telecom operator built its own machine learning platform to meet the growing data and signalling requirements of new networks.
WHITE PAPER:
The Plantronics UC Toolkit, Planning FAQ addresses the most common questions IT organizations raise when planning UC audio device deployments.
WHITE PAPER:
This white paper is intended to provide service providers with IBM's point of view on the power of collaboration in a Web 2.0 environment and to introduce a new IBM solution that can help telecoms to use collaboration as a tool for enabling innovation.
WHITE PAPER:
Today, firms in the communications industry must relook at how they deliver customer service in order to streamline operations, retain customers and drive business revenue. Read this paper to learn about five, practical, cost-effective opportunities that allow firms to meet market demand and achieve an impressive Return on Investment.
EBOOK:
The Semantic Dialogues tells the story of how National Networks, a fictional telecommunications service provider, pursued and achieved data interoperability within their SOA.
EGUIDE:
This expert E-Guide takes a look at the big changes in telecom network management and what you can do to prepare for and adjust to changes in the traditional telecom data center architecture.
WHITE PAPER:
Until very recently, customer volume for data services was so low that service providers couldn't justify investment in robust, end-to-end service assurance solutions for mobile data services. Now, with the volume of data services on mobile networks growing, the business case for such an investment is clear. Read on to learn more.
WHITE PAPER:
This resource examines how big data analytics is helping communications service providers (CSPs) to better understand customer behaviors, drive customer loyalty, and improve experiences. Inside, discover an enterprise-grade infrastructure designed for big data workloads.
