AI Will Be in Almost Every New Software Product by 2020
Market hype and growing interest in artificial intelligence (AI) are pushing established software vendors to introduce AI into their product strategy, creating considerable confusion in the process, according to Gartner. Analysts predict that by 2020, AI technologies will be virtually pervasive in almost every new software product and service.
In January 2016, the term "artificial intelligence" was not in the top 100 search terms on gartner.com. By May 2017, the term ranked at 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.
AI refers to systems that change behaviors without being explicitly programmed, based on data collected, usage analysis and other observations. While there is a widely held fear that AI will replace humans, the reality is that today's AI and machine learning technologies can and do greatly augment human capabilities. Machines can actually do some things better and faster than humans, once trained; the combination of machines and humans can accomplish more together than separately.
To successfully exploit the AI opportunity, technology providers need to understand how to respond to three key issues. First of them is that lack of differentiation is creating confusion and delaying purchase decisions. Second challenge that has to be overcome is that proven, less complex machine-learning capabilities can address many end-user needs. The final issue is the fact that the organisations lack the skills to evaluate, build and deploy AI solutions.
The huge increase in startups and established vendors all claiming to offer AI products without any real differentiation is confusing buyers. More than 1,000 vendors with applications and platforms describe themselves as AI vendors, or say they employ AI in their products. To build trust with end-user organisations vendors should focus on building a collection of case studies with quantifiable results achieved using AI.
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.
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 organisation. The survey found organisations are currently seeking AI solutions that can improve decision making and process automation. If they had a choice, most organisations would prefer to buy embedded or packaged AI solutions rather than trying to build a custom solution.