As telecom operators push hard to roll out Internet Protocol (IP) television services worldwide, they face major roadblocks in the shape of licensing and franchising issues, according to new studies from ABI Research. On one side, content providers worry about the security of IP networks, which are certainly not immune to hacking. These concerns affect the license arrangements they must reach with telcos wishing to distribute their intellectual property. From another quarter, cable operators -- justifiably fearing Telco IPTV encroachment on their traditional turf -- are lobbying governments fiercely to ensure that the telcos pay the same sort of franchise fees and go through the same degree of legal bureaucracy that they do. According to ABI principal analyst, Michael Arden, "In the US, this means thousands and thousands of individual contracts. Overseas, with lower cable penetration and less stringent government regulations, it is often a smaller problem." A partial solution -- at least for those telcos that can access fiber-to-the-home networks -- is "RF overlay", in which the TV signals are sent down the fiber network in a format equivalent to that used by cable services themselves. RF overlay is "a next-best solution to get content to the market quickly."
Technology is a compelling catalyst for economic growth across the globe. Artificial intelligence (AI) rides a seismic wave of transformation in the Asia-Pacific (APAC) region — a market bolstered by bold government initiatives, swelling pools of capital, and vibrant tech ambition. The latest IDC analysis sheds light on this dynamic market. Despite a contraction in deal volumes through 2024, total AI venture funding surged to an impressive $15.4 billion — a signal of the region’s resilience and the maturation of its digital-native businesses (DNBs). Asia-Pacific AI Market Development The APAC AI sector’s funding story is not just about headline numbers but also about how and where investments are shifting. Even as the number of deals slowed, the aggregate value of investments climbed, reflecting a preference among investors for fewer but larger, high-potential bets on mature or highly scalable AI enterprises. The information technology sector led the AI investment charge. Top area...