Survey shows 60% of finance professionals expanded real-time data use, but 93% distrust AI-generated insights due to accuracy concerns.
Finance teams are accelerating their adoption of AI and real-time data to enhance decision-making, with over 60% increasing their use of operational data in the past two years. The shift reflects a move from retrospective reporting to forward-looking analysis, driven by broader data access and AI tools for interpretation and collaboration with IT teams.
Nearly 60% of respondents now work closely with data and IT departments, breaking down traditional silos. However, concerns persist over AI output quality, with 93% of finance professionals citing issues like inaccuracies, bias, and lack of transparency in AI-generated insights.
The findings highlight a gap between AI adoption and trust, emphasizing the need for upskilling and improved data integrity in financial functions.