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Tuesday, 01 October 2019 11:05

Three factors holding back adoption of AI: Gartner

Three factors holding back adoption of AI: Gartner Pixabay

A lack of relevant skills, fear of the unknown and the quality of data produced by AI are three factors that could impede the adoption of artificial intelligence by businesses, the technology research firm Gartner says.

Brian Manusama, a senior director analyst at the company, said that while adoption of AI was increasing, some businesses were still questioning the effect on business and the benefits of AI.

New skills needed to be acquired by staff who were doing jobs that involved AI, with 56% of respondents to a survey agreeing that the nature of both existing and new jobs was bound to change with the incorporation of AI.

As an example, Gartner pointed to the fact that AI could evaluate X-rays like human radiologists.

"As this technology advances beyond research settings, radiologists will shift their focus to consulting with other physicians on diagnosis and treatment, treating diseases, performing image-guided medical interventions and discussing procedures and results with patients," the company added.

ai gartner

A survey carried out by Gartner in June showed that about 42% of respondents did not completely comprehend the benefits and use of AI in the workplace.

"Quantifying the benefits of AI projects poses a major challenge for business and IT leaders," Gartner said. "While some benefits could be well-defined values, such as revenue increase or time saved, others, such as customer experience, are difficult to define precisely or to measure accurately."

The third challenge was the full data scope or the quality of data obtained from AI.

"Successful AI initiatives depend on a large volume of data from which organisations can draw information about the best response to a situation," the Gartner study found.

"Organisations are aware that without sufficient data — or if the situation encountered does not match past data — AI falters.

"Others know that the more complex the situation, the more likely the situation will not match the AI’s existing data, leading to AI failures."

AI would not eliminate jobs overall, Gartner said, adding that while 1.8 million jobs would be lost, another 2.3 million would be created.

Graphic: courtesy Gartner


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Sam Varghese

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Sam Varghese has been writing for iTWire since 2006, a year after the site came into existence. For nearly a decade thereafter, he wrote mostly about free and open source software, based on his own use of this genre of software. Since May 2016, he has been writing across many areas of technology. He has been a journalist for nearly 40 years in India (Indian Express and Deccan Herald), the UAE (Khaleej Times) and Australia (Daily Commercial News (now defunct) and The Age). His personal blog is titled Irregular Expression.



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