Softbank Deploys mVision IPTV System

Softbank BB has deployed UTStarcom's mVision end-to-end IPTV system to support its new BBTV IPTV service, which launched on July 1. The service initially offers subscribers 28 channels of live broadcast television and 5,200 movies on demand. Softbank BB's triple play service will be available in several service tiers, with pricing starting at 4540 Yen, approximately US$40.00 per month.
UTStarcom's mVision system is a unicast/multicast distributed system that scales to support millions of users and hundreds of thousands of content hours. It supports services such as broadcast TV, Network PVR (n-PVR), Video on Demand (VoD), and Near Video on Demand (NVoD). In addition to UTStarcom's mVision system, Softbank is using the company's IP DSLAM and Gigabit Ethernet Passive Optical Network (GEPON) solutions serve as the access and transport platforms for its DSL, VoIP and IPTV services. As of May 2005, Softbank's Yahoo! BB was serving 4,847,000 broadband lines and had 4,588,000 VoIP customers.

Industrial and Manufacturing Technology Growth

In an evolving era of rapid advancement, market demand for innovative technology in the industrial and manufacturing sectors is skyrocketing. Leaders are recognizing the immense potential of digital transformation and are driving initiatives to integrate technologies into their business operations. These initiatives aim to enhance efficiency, reduce costs, and ultimately drive growth and competitiveness in an increasingly digital business upward trajectory. The industrial and manufacturing sectors have been the backbone of the Global Networked Economy, contributing $16 trillion in value in 2021. Industrial and Manufacturing Tech Market Development This growth represents a 20 percent increase from 2020, highlighting the resilience and adaptability of these sectors in the face of unprecedented challenges, according to the latest worldwide market study by ABI Research . The five largest manufacturing verticals -- automotive, computer and electronic, primary metal, food, and machinery -

Rise of AI-Enabled Smart Traffic Management

The demand for smart traffic management systems has grown due to rising urban populations and increasing vehicle ownership. With more people and cars concentrated in cities, problems like traffic congestion, air pollution, and greenhouse gas emissions are pressing issues. Since the early 2000s, government leaders have been exploring ways to leverage advances in IoT connectivity, sensors, artificial intelligence (AI), and data analytics to address these transportation challenges. The concept of a Smart City emerged in the 2010s, with smart mobility and intelligent traffic management as key components. Smart Traffic Management Market Development Concerns about continued climate change, as well as cost savings from improved traffic flow, have further motivated local government investment in these advanced systems. According to the latest worldwide market study by Juniper Research, they found that by 2028, smart traffic management investment will be up by 75 percent from a 2023 figure of

How GenAI is Transforming the Role of CIO

The introduction of Artificial intelligence (AI), and the emergence of Generative AI (GenAI), are now resulting in two key focus areas for Chief Information Officers (CIOs) and their IT leadership team. "GenAI is not just a technology or just a business trend. It is a profound shift in how humans and machines interact," said Mary Mesaglio, VP Analyst at Gartner . "We are moving from what machines can do for us to what machines can be for us." AI platforms are evolving rapidly from being our tools to becoming our teammates. Gartner predicts that by 2025, GenAI will be a workforce partner for 90 percent of companies worldwide. CIO Leadership Market Development CIOs have a major role in how they shape AI and how AI shapes us. According to recent Gartner surveys of CEOs, enterprise CIOs are their number one choice to unlock the value of GenAI tools. In fact, CIOs and IT executives will prioritize two areas to unleash the possibility of AI over the next 12-24 months – t

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