When broken down by cloud expenditure, results show that for the first time, operational waste reduction and optimizing commitment-based discounts have emerged as the top two key priorities among cloud users.

Aligning organizational culture and practices with FinOps principles is what

businesses claim to need the most to overcome their cloud challenges

FinOps training for professional individuals within organizations is on the rise, with a heightened focus on FinOps training for engineers.

Enabling automation ranks as the top secondary priority for small and medium-sized companies while sharing the second spot among large enterprises, pointing towards a growing FinOps maturity among the cloud community.

AI/ML related costs on FinOps practices are reported to bear significant impact by 31% of all respondents. This figure rises to 45% among large enterprises, highlighting a growing issue within the sector, likely to reach businesses of all sizes once AI/ML implementation begins in smaller businesses.

How are AI/ML costs currently impacting your FinOps practice?