Organizations that Implement Artificial Intelligence Increases in 2019

The implementation of (AI) by for the past four years has rapidly increased, around 270 percent, according to the 2019 CIO survey by Gartner, Inc. The organizations that implemented AI were across all industries and predicted to keep increasing in 2019.

Chris Howard, Vice President of Gartner

Chris Howard, Vice President of Gartner said: “Four years ago, AI implementation was rare, only 10% of survey respondents reported that their organizations had deployed AI or would do so shortly. For 2019, that number has leaped to 37% — a 270% increase in four years.

He continued, “If you are a CIO and your organization doesn't use AI, chances are high that your competitors do and this should be a concern.”

The survey aims at helping IT leaders, especially CIOs to set and manage their agendas in the upcoming year. It took data from over 3,000 CIO respondents across 89 countries from main industries that represented $15 trillion of revenue and $284 billion of IT spending.

In 2018, the implementation of Artificial Intelligence (AI) in many organizations across various industries grew 25%. And the number increased to 37% at the beginning of 2019. The growing number of organizations that AI due to its significant capabilities resulting in more organizations want to deploy it.

Artificial Intelligence

AI has been a part of the digital strategy in many industries nowadays since it offers sustainable digital transformation and task automation. The survey reveals that around 52% of telecommunications companies apply chatbots and about 38% of healthcare providers use computer-assisted diagnostics. Meanwhile, other organizations use AI for fraud prevention and consumer determination.

However, the more organizations utilize Artificial Intelligence (AI), the more challenges await them. There were around 54% of survey respondents found that the lack of skill was their biggest challenge.

Howard commented on the findings, “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 organizations also create job shares with ecosystem and business partners.”

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