According to Gartner’s annual AI survey of 699 decision makers from organizations in the U.S., Germany and the U.K., conducted online from October to December 2021 and released in August, large organizations expect to double the number of AI projects in place, and 80 percent of decision makers believe that automation can be applied to any business decision.
The business value of AI will reach $5.1 billion by 2025. Gartner’s annual survey provides insight into the keys to successful AI implementation and the barriers to operationalizing AI.
The four topics covered are:
- The value of AI;
- Operationalizing AI;
- Recruiting talent;
- Privacy, security and risk.
It was conducted with organizations that have deployed AI or intend to deploy AI within three years. It does not cover France, but a study conducted online during February by Vanson Bourne for Mulesoft found that 78% of French organizations will incorporate hyperautomation into their roadmap in the next 24 months.
According to the Gartner study, for 80% of executives, automation can be applied to any business decision. Erick Brethenoux, vice president and analyst at Gartner, comments on this high percentage:
“The survey showed that companies are moving away from a purely tactical approach to AI and are beginning to apply AI more strategically. For example, one-third of organizations are applying AI across multiple business units, creating a stronger competitive differentiator by supporting decisions across business processes.”
Operationalizing AI
The operationalization of AI has increased only slightly over the past two years.The survey reveals that 54% of AI projects are moving from pilot to production, while the survey conducted in 2019 reported an average of 53%.
Frances Karamouzis, vice president and analyst at Gartner, notes:
“Scaling AI continues to be a significant challenge. Organizations still struggle to connect the algorithms they build to a business value proposition, making it difficult for IT and business leaders to justify the investment needed to operationalize the models.”
Forty percent of organizations surveyed reported deploying thousands of AI models, which creates governance complexity for the organization. Data and analytics leaders, meanwhile, struggle to demonstrate the ROI of each model.
Recruiting talent
While talent shortages are often seen as a significant barrier to AI adoption, 72% of executives said they have or can find the AI talent they need.
Erick Brethenoux explains:
“The most successful organizations use a combination of internal development and external hiring for AI talent.This ensures that the team is continually refreshing itself by learning new AI skills and techniques and considering new ideas from outside the organization. “
Security and privacy
While 41% of organizations reported having ever had a known privacy breach or security incident related to AI, only 3% of executives surveyed said they were concerned about security and privacy issues, the rest did not see them as a major barrier to AI adoption.
When asked about AI security concerns, 50% of respondents said that problems could come from competitors, partners or other third parties and 49% from cyber attackers. These percentages are surprising because 60% of organizations that have experienced an AI security or privacy incident reported that the data compromise came from an internal actor.
Erick Brethenoux states:
“Organizations’ concerns about AI security are often misplaced, given that most AI breaches are caused by insiders. While detecting and preventing attacks is important, AI security efforts should also focus on minimizing human risks.”
Translated from Automatisation : une étude de Gartner révèle que les grandes organisations ont l’intention de doubler le nombre de leurs projets d’IA en place
