New research from Workday reveals a massive "productivity paradox" where nearly 40% of AI time gains are being lost to fixing low-quality outputs and manual rework. To recapture this value, the report outlines how leading organizations are moving beyond raw technology to reinvest saved time into human judgment, upskilling, and modernized job roles.
New Solution Combines Workday Learning and Sana Learn to Deliver Personalized AI Tutoring, Interactive Course Creation, and Automated Learning Operations Your browser does not support the video...
Agent Passport Measures Every Agent Against Industry Standards Including OWASP LLM Top 10, NIST AI RMF, and MITRE ATLAS Cisco Joins as Launch Partner to Independently Test AI Agents in Workday...
New Integration Provides Bi-Directional, Zero-Copy Access Between AWS Data and AI Services, and Workday's HR and Finance Data Workday Data Cloud Capabilities for AWS Customers Coming Soon in Early...
Developer Agent Lets Developers Build AI Apps and Agents on Workday Using Natural Language in Agentic Tools Like Claude Code, Cline, Codex, Cursor, and Google Antigravity Agent-Ready Tools Enable...
Sana Self-Service Agent from Workday is Now Available in Gemini Enterprise, Delivering Multi-Agent Orchestration Directly Where Employees Already Work Gemini Becomes Default AI Model for Sana for...
