A survey by Gartner has found that 80% of executives think automation can be applied to any business decision.
As automation becomes embedded in digital business, the survey revealed how organisations are evolving their use of artificial intelligence (AI) as part of their automation strategies.
“The survey has shown that enterprises are shifting away from a purely tactical approach to AI and beginning to apply AI more strategically,” says Erick Brethenoux, distinguished vice-president analyst at Gartner. “For example, a third of organisations are applying AI across several business units, creating a stronger competitive differentiator by supporting decisions across business processes.”
The survey was conducted online from October through December 2021 among 699 respondents in the US, Germany and the U.K., at organisations that have deployed AI or intend to deploy AI within three years.
The survey revealed that, on average, 54% of AI projects make it from pilot to production. This is a slight increase from the Gartner 2019 AI in Organizations Survey, which reported an average of 53% of AI projects that make it to production.
“Scaling AI continues to be a significant challenge,” says Frances Karamouzis, distinguished vice-president analyst at Gartner. “Organizations still struggle to connect the algorithms they are building to a business value proposition, which makes it difficult for IT and business leadership to justify the investment it requires to operationalise models.”
Forty percent of organisations surveyed indicated that they have thousands of AI models deployed. This creates governance complexity for the organisation, further challenging data and analytics leaders’ ability to demonstrate return on investment from each model.
While talent shortages are often assumed to impact AI initiatives, the survey found it is not a significant barrier to AI adoption. Seventy-two percent of executives reported that they have or can source the AI talent they need.
“The most successful organisations use a combination of in-house development and external hiring for AI talent,” says Brethenoux. “This ensures that the team renews itself continuously by learning new AI skills and techniques and considering new ideas from outside the organisation.”
Security and privacy concerns were not ranked as a top barrier to AI adoption, cited by just 3% of executives surveyed. Yet, 41% of organisations reported they have previously had a known AI privacy breach or security incident.
When asked which parties the organisation was most worried about when it comes to AI security, 50% of respondents cited concerns about competitors, partners or other third parties, and 49% were concerned about malicious hackers.
However, among organisations which have faced an AI security or privacy incident, 60% reported data compromise by an internal party.
“Organisations’ AI security concerns are often misplaced, given that most AI breaches are caused by insiders,” says Brethenoux. “While attack detection and prevention are important, AI security efforts should equally focus on minimising human risk.”