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DataIntelo has included a latest report on the Global Artificial Intelligence Products Market into its archive of market research studies.

Section 8: Various research approaches and methodologies implemented in the research document.

When a technology is labelled AI, the vendor must provide information that makes it clear how AI is used as a differentiator and what problems it solves that can't be solved by other technologies, explained Jim Hare, a research VP at Gartner, who focuses on analytics and data science. "You have to go in with the assumption that it isn't AI, and the vendor has to prove otherwise," Hare said. "It's like the big data era -- where all the vendors say they have big data -- but on steroids." "What I'm seeing is that anything typically called machine learning is now being labelled AI, when in reality it is weak or narrow AI, and it solves a specific problem," he said. IT buyers must hold the vendor accountable for its claims by asking how it defines AI and requesting information about what's under the hood, Hare said.

When a technology is labelled AI, the vendor must provide information that makes it clear how AI is used as a differentiator and what problems it solves that can't be solved by other technologies, explained Jim Hare, a research VP at Gartner, who focuses on analytics and data science. "What I'm seeing is that anything typically called machine learning is now being labelled AI, when in reality it is weak or narrow AI, and it solves a specific problem," he said. Also, Hare urges IT buyers to demand a demonstration of artificial intelligence products using their own data to see them in action solving a business problem they have. The second problem Gartner highlights is that machine learning can address many of the problems businesses need to solve.

Analysts predict that by 2020, artificial intelligence technologies will be in almost every new software and service release. And if they're not actually in them, technology vendors will probably use smoke and mirrors marketing tactics to make users believe they are. Many tech vendors already shoehorn the AI label into the marketing of every new piece of software they develop, and it's causing confusion in the market. To muddle things further, major software vendors accuse their competitors of egregious mislabeling, even when the products in question truly do include artificial intelligence technologies. AI mischaracterization is one of the three major problems in the AI market, as highlighted by Gartner recently.

China plans to expand its artificial intelligence products market to over 15 billion by speeding up the manufacturing of products like robots, home appliances and mobile phones as part of efforts to develop new technologies to reorient its sluggish economy. China will speed up the development of its artificial intelligence (AI) sector and create a market worth more than 100 billion yuan ( 15.26 billion) over the next three years, the National Development and Reform Commission said in a statement. By 2018, China shall build platforms for fundamental AI resources and innovation and make breakthroughs on basic core technology, the three-year implementation programme for "Internet Plus" artificial intelligence said. Under the plan, China will cultivate and develop emerging artificial intelligence industries, promote innovation in intelligent products and enhance the intelligence level of terminal products. The programme will involve key projects such as intelligent home appliances, smart automobiles, intelligent unmanned systems, intelligent wearable devices and robots.