Digital Lifescapes

The concept of "AI at the edge" redefines how artificial intelligence is delivered. Rather than relying exclusively on centralized servers in the cloud, edge AI moves inference directly onto local devices where data and information are processed. Worldwide end-user spending on Generative AI (GenAI) smartphones is set to reach $298.2 billion by the close of 2025, according to the latest market study by Gartner. This milestone signals robust growth in digital hardware sales with a shift in how mobile technology is evolving to meet the demands of a more AI-dependent, experience-driven marketplace. Smartphone AI Market Development Smartphones have long stood at the center of the modern connected life. Now, the integration of GenAI marks a new era where devices transition from reactive tools to proactive intelligent companions. Gartner’s study draws a clear line between traditional smartphones and GenAI smartphones — those equipped with dedicated neural engines (NPUs) able to run...

More CIOs and CTOs are exploring the commercial value of intelligent systems that can enhance their organization's performance. Global business value from artificial intelligence (AI) is forecast to total $1.2 trillion in 2018 -- that's an increase of 70 percent from 2017, according to the latest market study by Gartner. Moreover, AI-derived business value is forecast to reach $3.9 trillion in 2022. According to the Gartner assessment, there are three different sources of AI business value: Customer experience: The positive or negative effects on indirect cost. Customer experience is a necessary precondition for widespread adoption of AI technology to both unlock its full potential and enable value. New revenue: Increasing sales of existing products and services, and/or creating new product or service opportunity beyond the existing situation. Cost reduction: Reduced costs incurred in producing and delivering those new or existing products and services. AI Technology ...

Artificial intelligence (AI) projects are slowly gaining momentum, according to the latest worldwide market study by Gartner. That said, just four percent of CIO respondents have already implemented AI technologies, while 46 percent have started to work on deployment plans. "Despite huge levels of interest in AI technologies, current implementations remain at quite low levels," said Whit Andrews, vice president at Gartner . "However, there is potential for strong growth as CIOs begin piloting AI programs through a combination of buy, build and outsource efforts." Artificial Intelligence Market Development As with most emerging technologies, the early adopters are facing many obstacles to the progress of AI within their organizations. Gartner analysts have identified the following four lessons-learned that have emerged from these early AI projects. "Don’t fall into the trap of primarily seeking hard outcomes, such as direct financial gains, with AI proje...