According to a new study from ABI Research, annual global sales of dual-mode mobile phones -- which can connect to either a conventional cellular service or a Wi-Fi network -- are likely to exceed 100 million during the final year of this decade. Such dual-mode handsets have been virtually unknown to consumers until now, and have not penetrated the enterprise space to any degree either. But according to ABI, some of the leaders of global telecom -- notably British Telecom and Korea Telecom -- plan to offer dual-mode services by the end of 2005. That could start a very large ball rolling. Though the full spectrum of capabilities won't appear in the first generation of products, when these services are mature you will be able to start a phone call at home (where your phone connects to your residential Wi-Fi network and then to your broadband Voice over IP phone service), continue it in your car (where the phone switches to your cellular provider's network), and wind it up at work, where the phone once more switches to your organization's 802.11 LAN, and VoIP.
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