Spiralling consumer demand for network services will lead to wireless home bandwidth requirements jumping by a whopping 1,800 per cent to 57Mbps by 2009. According to a newly released study from JupiterResearch, wireless bandwidth requirements for the typical broadband home with a wireless network will grow from less than 3Mbps in 2004 to a likely 57Mbps in 2009. JupiterResearch estimates that tech-savvy households of three individuals will require wireless bandwidth of up to 84Mbps, driven primarily by changes in the home use of consumer electronics and changing consumption patterns for digital media at home. Overall, in 2004 some 7.5 million US households indicated that they have a home network that is at least partly wireless. JupiterResearch forecasts that the number of wireless home network households in the US will rise to 34.3 million by 2009. "Consumers are beginning to shift their paradigms for internet access, home networking and digital content management." "The number of consumer electronics devices using a wireless network in the home could explode over the next five years, driving bandwidth requirements beyond today's offerings." "To exploit this trend, consumer electronics manufacturers will increasingly need to conceive of their products as always-on nodes in a wireless network."
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