Enterprises Already Looking To Advanced AI For An Edge

It has been clear for some time that artificial intelligence has already evolved and is entering a new phase of development. While it is not entirely clear as yet how, or even if, enterprises will use this new advanced AI, before looking at new strategies for this cutting edge technology -- and edge is a key word here -- it is important to understand what is and what it can possibly do. In its recent Hype Cycle for emerging technologies (subscription required) and subsequent analysis of where the evolution of digital innovation is going, Stamford, Conn.-based, Gartner, took a look at advanced analytics and its possible role in the enterprise. According to the research, advanced analytics is the autonomous or semiautonomous examination of data or content using sophisticated techniques and tools, typically beyond those of traditional business intelligence (BI). In a statement about the research, Brian Burke, research vice president at Gartner explained: "The adoption of edge AI is increasing for applications that are latency-sensitive (e.g., autonomous navigation), subject to network interruptions (e.g., remote monitoring, natural language processing [NLP], facial recognition) and/or are data-intensive (e.g., video analytics)."