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Skills among main barriers to AI adoption

Skills among main barriers to AI adoption

Gartner research indicates that more organisations are adopting artificial intelligence – with 14% of CIOs having already deployed AI and 48% poised to deploy in 2019 or by 2020. However, the research also identifies the top three barriers to adoption of the technology, including skills, uncertainty and the quality of data.

According to a Gartner Research Circle survey, business and IT leaders acknowledge that AI will change the skills needed to accomplish AI jobs, with 56%percent of respondents saying that acquiring new skills will be required to do both existing and newly created jobs.

"Today, AI can 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," Gartner stated.

Fear of the unknown

Forty-two percent of respondents do not fully understand AI benefits and use in the workplace.

"Quantifying the benefits of AI projects poses a major challenge for business and IT leaders. 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.

... Success depends on considering both tangible and intangible benefits, and determining how to meaningfully quantify them. Gartner forecasts that by 2024, 50% of AI investments will be quantified and linked to specific key performance indicators to measure return on investment," the company added.

The third challenge is the full data scope or the data quality derived 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. 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, Gartner continued.

The more organisations implement AI, the more jobs it creates and these jobs will fall into two categories - jobs directly related to implementing and developing AI within the organisation and jobs created by the opportunities for scale that AI provides.

"Overall, AI will not eliminate jobs. By 2020, AI will become a net-positive job motivator, eliminating 1.8 million jobs while creating 2.3 million jobs," the research firm added.

Brian Manusama, Senior Director Analyst, Gartner, said: "While adoption is increasing, some organisations are still questioning the business impact and benefits. Today, we witness three barriers to the adoption of AI."

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