EZINE:
In this handbook, focused on enterprise 5G in the Asia-Pacific region, Computer Weekly looks at what the technology means for enterprises across the region.
EGUIDE:
In this case study, learn how Bharti Airtel built a new telco network cloud, providing the foundation for its next-generation core network, analytical tools, and new consumer and enterprise services.
EGUIDE:
This e-guide discusses the convergence of voice, video and data on IP Multimedia Subsystem (IMS) networks and how it is driving the need for testing tools that are up to speed. Find out what key players are doing to keep pace and how integrated platforms may eliminate the need for multiple telecom testing tools and simplify the process.
WHITE PAPER:
This paper addresses the way incumbent fixed, mobile or cable operators may leverage both IMS and existing assets, in order to respond to customer requirements for diversity and simplicity. Download this white paper to learn more.
DATA SHEET:
This paper discusses how Intel and Neusoft took advantage of the performance and scalability of Intel® Xeon® processor 7500 series-based servers to address some of the critical challenges in the telecom industry.
WHITE PAPER:
Check out this brief case study to learn how Genesis Wireless implemented Motorola wireless broadband solutions to produce significant cost savings and provide enhanced reliability.
WHITE PAPER:
The Plantronics UC Toolkit, Planning FAQ addresses the most common questions IT organizations raise when planning UC audio device deployments.
WHITE PAPER:
The telecom market will transform into an IP-based world, where the strategy for growth has to take into account media and Internet convergence. This paper presents a strategy to succeed in today's environment and anticipate tomorrow...
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.
