“Four years ago, AI implementation was rare, only 10 per cent of survey respondents reported that their organisations had deployed AI or would do so shortly. For 2019, that number has leapt to 37 per cent — a 270 per cent increase in four years,” said Chris Howard, distinguished research vice president at Gartner. “If you are a CIO and your organisation doesn’t use AI, chances are high that your competitors do and this should be a concern.”
The purpose of the 2019 Gartner CIO Survey is to help CIOs and other IT leaders set and validate their management agendas for the coming year. Gartner gathered data from more than 3,000 CIO respondents in 89 countries across major industries, representing $15 trillion in revenue and public-sector budgets and $284 billion in IT spending.
Game-Changer With a Talent Shortage
The deployment of AI has tripled in the past year — rising from 25 per cent in 2018 to 37 per cent today. The reasons for this big jump is that AI capabilities have matured significantly and thus businesses are more willing to implement the technology. “We still remain far from general AI that can wholly take over complex tasks, but we have now entered the realm of AI-augmented work and decision science — what we call ‘augmented intelligence,’” Mr Howard added.
CIOs have realised that sustainable digital transformation and task automation go hand in hand. AI has become an integral part of every digital strategy and is already used in a variety of applications. Survey results show that 52 per cent of telco organisations deploy chatbots and 38 per cent of healthcare providers rely on computer-assisted diagnostics. Other operational use cases for AI are fraud protection and consumer fragmentation.
The more organisations work with AI, the clearer the deployment challenge becomes. Fifty-four per cent of respondents to a Gartner Research Circle Survey view skill shortage as the biggest challenge facing their organisation.
“In order to stay ahead, CIOs need to be creative. If there is no AI talent available, another possibility is to invest in training programmes for employees with backgrounds in statistics and data management. Some organisations also create job shares with ecosystem and business partners,” Mr Howard said.
