Case Study: U.S. Air Force achieves trustworthy, bias-mitigated AI and democratized ML insights with DataRobot

U.S. Air Force - Customer Case Study

The U.S. Air Force, led by Captain Michael Kanaan (Enterprise Lead AI and ML), faced the challenge of scaling machine learning across a 650,000‑person enterprise while avoiding algorithmic bias and building trust and explainability into AI-driven decisions. To address these issues and democratize AI across functions such as human resources, finance, logistics, and medical services, the Air Force turned to DataRobot and its platform/open use cases.

DataRobot provided an accessible platform, explainability tools, and community resources that Captain Kanaan used to embed oversight, bias‑mitigation practices, and workforce‑friendly workflows. Using DataRobot’s capabilities, the Air Force has been able to scale AI adoption across programs impacting roughly 650,000 jobs, create clearer governance and explainability pathways, and advance workforce readiness—helping build practical trust in AI across the enterprise.

U.S. Air Force

Michael Kanaan

Enterprise Lead AI and ML