As digital entertainment streams into consumers' lives, they are amassing valuable troves of stored data. A recent survey conducted by KRC Research and Hitachi Global Storage Technologies found that U.S. adults have an average of $1,135 worth of entertainment stored on devices such as laptops/PCs, MP3 players, DVRs, mobile phones, PDAs, digital cameras or portable movie players, and that their appetite for more storage is growing as our lives become more mobile. In particular, "Generation Y" (18-24 years) consumers, a group known for their technology savvy, have an even higher average of $2,199 worth of entertainment stored on devices. The survey results also point to a larger belief within the hard drive industry: As the cost of digital storage becomes less than 10 percent of the content value, it is affordable enough for that content to be permanently retained -- increasing the pervasiveness of hard disk drives. Hitachi believes high-capacity hard drives -- unlike any other form of portable storage today -- have now achieved that level of affordability for consumers.
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