UAE records one of the study’s fastest gains in AI trustworthiness
A new SAS report with research insights by IDC uncovers what’s powering the organizations winning the race to profit from their AI investments: embracing trustworthy AI measures. Organizations applying trustworthy AI practices were 15 times more likely to report strong return on investment (ROI) from their AI projects.
As identified in the second annual Data and AI Impact Report: The New Economics of Trust, organizations with the strongest governance, data quality and auditability practices consistently outperformed peers, reporting at least double the ROI from AI deployments.
Agentic workflows
“In order to achieve accuracy and repeatability, organizations must embed domain expertise into agentic workflows, while keeping people at the center of governance and oversight. Organizations that do this successfully will close the trust gap and gain a competitive advantage in the market with AI,” stated Bryan Harris, CTO, SAS.
“Our findings show that stronger oversight, explainability, accountability and data foundations are becoming prerequisites for scaling AI successfully,” remarked Chris Marshall, Vice President, IDC.
“This progress reflects how quickly organizations in the UAE have moved from AI ambition to adoption; The UAE AI Strategy and the Dubai AI Roadmap pushed governance deployment into government and the private sector at an unprecedented pace. This capability is in response to a top-down deployment mandate, which explains why so much of it arrived at once” added Michel Ghorayeb, Managing Director, SAS UAE.
The report’s findings span three themes:
AI that can’t explain itself is a major business liability:
Researchers found that employees are increasingly hesitant to rely on systems that cannot provide correct outputs or explain how decisions were reached. As AI gains autonomy, explainability becomes increasingly important.
Trustworthy AI practices drive business success:
The report exposes a widening ROI divide, suggesting organizations gaining the most value from AI is not necessarily deploying different technologies but managing AI differently.
Too many organizations are losing time and money to weak data foundations
Many organizations are deploying AI on severely underdeveloped or outdated data and data infrastructure, limiting their ability to govern AI effectively and realize value.
