Workday, Inc. announced Workday AI Research, a dedicated technical research team focused on advancing reliable, trustworthy, and efficient enterprise AI.
“As AI agents evolve to remember context and take action on behalf of employees, enterprises are facing complex challenges around privacy, auditability, efficiency, and enterprise-grade accuracy that off-the-shelf models simply cannot solve,” said Gerrit Kazmaier, president, product and technology, Workday. “Workday AI Research is dedicated to solving these exact problems, delivering the rigorous science needed to build intelligent, reliable systems that organisations can actually trust and deploy at scale.”
Workday AI Research
Workday AI Research findings help shape AI development at Workday and contribute new evidence, methods, and evaluation practices to the broader research community.
Workday AI Research aims to address common concerns around AI adoption, including:
- Can AI agents remember the right things without storing everything?Â
- Can multiple AI agents make better decisions than one?Â
- Does asking an AI agent to forget something actually make it forget?Â
Workday AI Research aim to build useful, efficient, transparent, and enterprise-ready AI tools by connecting AI science with real-life AI needs.
Workday AI Research PhD Fellowship
The company has also introduced the Workday AI Research PhD Fellowship to support exceptional doctoral students working at the intersection of AI and enterprise software.
Fellows receive $50,000 in annual research funding through an unrestricted gift to their university, dedicated mentorship and direct collaboration with a Workday AI researcher, and early access to relevant career opportunities at Workday.
