Workday Researchers Use Selective AI Memory to Improve Agent Performance
Workday researchers are developing AI techniques including selective AI memory, multi-agent collaboration, recommendations, and training for resource optimization. A recent study found selective AI memory helps agents retain important information while filtering outdated or unreliable data, boosting precision by 12%, overall quality by about 8%, and speed by around 31%. The work supports efforts to build reliable, transparent, and well-governed AI systems that improve automation.