When it comes to video services, the children of Ma Bell have taken their hard knocks. A flood of ventures by telephone companies designed to compete against entrenched cable TV operators received much fanfare in the early 1990s, only to fizzle out as failures before the new millennium passed. But don't count them out just yet. As cable operators increasingly target their data and voice customers, the telephone companies are crawling back from defeat, reinvigorated by a perfect storm of network convergence, broadband technology and the good ol' IP infrastructure. Coming soon to a screen near you: IPTV. "It's one of the hot topics in telecommunications," said Steve West, director of product marketing for fixed solutions at Alcatel, a network infrastructure provider. "We've been actively pushing the space since 1999 or 2000. It is absolutely ready for market. "While traditional cable systems devote a slice of bandwidth for each channel and then cablecast them all out at once, IPTV uses a "switched video" architecture in which only the channel being watched at that moment is sent over the network, freeing up capacity for other features and more interactivity.
Artificial intelligence (AI) has emerged as a transformational force, reshaping business processes and unlocking new possibilities for efficiency and innovation in corporate finance. The latest Gartner survey on AI usage in finance provides evidence of this emerging trend, offering valuable insights into the future growth trajectory of AI in finance. The Gartner survey reveals a significant milestone. As of 2024, 58 percent of finance functions actively use AI technology -- that's a substantial increase from previous years. Artificial Intelligence Market Development Perhaps even more telling is the projection that by 2026 more than 80 percent of finance functions are expected to be leveraging AI solutions. The survey sheds light on the use cases of AI in finance: AI is being deployed to enhance forecasting accuracy and provide deeper insights into financial trends. Automation of routine tasks and improved accuracy in financial reporting are key benefits observed. AI algorithms are