At the opening of the Intel Developer Forum in San Francisco, Paul S. Otellini unveiled Intel's next-generation, power-optimized micro-architecture for future digital home, enterprise, mobile and emerging market platforms -- and low-power products that will enable a new category of converged consumer devices. Intel will introduce a micro-architecture in the second half of 2006, that combines the company's current Intel NetBurst and Pentium M micro-architectures and adds new features. "We will deliver factor of 10 breakthroughs to a variety of platforms that can reduce energy consumption tenfold or bring 10 times the performance of today's products. At the same time, Intel innovation will continue to deliver unique digital enterprise, home, office and mobile features, such as greater manageability, security and virtualization, along with an increasing capability to manage and view digital content," Otellini said. Intel currently has more than 10 processor projects that contain four (quad-core) or more processor cores per chip. Otellini also announced that forthcoming lower-power products will lead to a new category of ultra energy-efficient Handtop PC devices that provide a converged communication and PC-like experience but require less than a watt of processing power and weigh under a pound.
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