Peer-reviewed research and working papers advancing the science of cloud financial management.
Chen, Martinez, Williams
This paper examines how the rise of AI workloads is reshaping cloud unit economics and proposes new frameworks for AI cost attribution.
Foster, Kim, Okonkwo
A systematic meta-analysis of 120 FinOps program implementations, measuring return on investment and identifying success factors.
Tanaka, Lee, Sharma
An exploration of cost attribution challenges unique to multi-cloud environments with proposed architectural solutions.
Sharma, Patel
Machine learning approaches to cloud cost forecasting, achieving 15% improvement in prediction accuracy over traditional methods.
Williams, Torres, Kim
Comprehensive cross-industry comparison of FinOps maturity levels, identifying industry-specific patterns and best practices.