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Gartner: AI technologies to be pervasive in new software products

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In January 2016, the term “artificial intelligence” was not in the top 100 search terms on By May 2017, the term ranked No. 7, indicating the popularity of the topic and interest from Gartner clients in understanding how AI can and should be used as part of their digital business strategy. Gartner predicts that by 2020, AI will be a top-five investment priority for more than 30 percent of CIOs.




  1. Lack of differentiation is creating confusion and delaying purchase decisions. The huge increase in startups and established vendors all claiming to offer AI products without any real differentiation is confusing buyers. More than a thousand vendors with applications and platforms describe themselves as AI vendors, or say they employ AI in their products.


  1. Proven, less complex machine-learning capabilities can address many end-user needs. Advancements in AI, such as deep learning, are getting a lot of buzz but are obfuscating the value of more straightforward, proven approaches. Gartner recommends that vendors use the simplest approach that can do the job over cutting-edge AI techniques.
  2. Organizations lack the skills to evaluate, build and deploy AI solutions. More than half the respondents to Gartner’s 2017 AI development strategies survey indicated that the lack of necessary staff skills was the top challenge to adopting AI in their organization.

The survey found organizations are currently seeking AI solutions that can improve decision-making and process automation. If they had a choice, most organizations would prefer to buy embedded or packaged AI solutions rather than trying to build a custom solution.


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