Skip to main content

Broadband 2.0 and Next Generation Networks

BROADBAND 2.0 is the first magazine dedicated to supporting broadband service providers through the successful delivery and management of next-generation services such as IPTV and home networking. BROADBAND 2.0 showcases best practices and insights from industry leaders�global service providers and their ecosystem partners�who are defining the Broadband 2.0 landscape.

BROADBAND 2.0 is a quarterly magazine targeted to industry influencers including key executives and decision-makers responsible for developing, marketing and implementing innovative services that deliver value and convenience to customers.

�As broadband access reaches market maturity, we are just beginning to see the emergence of new services that take full advantage of the medium,� said Colin Dixon, senior analyst at The Diffusion Group. �Broadband 2.0�s focus on the implementation of these new revenue generating services is an important tool for the operator in their battle for subscribers and revenue.�

The premiere issue, Delivering the Digital Home, features case studies, market trends, updates on industry standards, opinion pieces and expert analysis defining one of the most exciting business opportunities the broadband industry has seen in 20 years.

Popular posts from this blog

The AI Application Integration Challenge

Artificial intelligence (AI) has rapidly become the defining force in business technology development, but integrating AI into applications remains a formidable challenge. According to a recent Gartner survey, 77 percent of engineering leaders identify AI integration in apps as a major hurdle for their organizations. As demand for AI-powered solutions accelerates across every industry, understanding the tools, the barriers, and the opportunities is essential for business and technology leaders seeking to evolve. The Gartner survey highlights a key trend: while AI’s potential is widely recognized, the path to useful integration is anything but straightforward. IT leaders cite complexities in embedding AI models into existing software, managing data pipelines, ensuring security, and maintaining compliance as persistent obstacles. These challenges are compounded by a shortage of skilled AI engineers and the rapid evolution of AI technologies, which can outpace organizational readiness and...