AI-Powered Skills Intelligence for the Future of Work | Workday & Accenture

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Summary

Yasi Shaeste, Senior Manager at Accenture, discusses the unique partnership with Workday, focusing on how Accenture leverages its own experience as a large Workday customer to help clients. The video highlights Accenture's AI-powered skills inference engine for identifying employee skills and the application of Gen AI for HR efficiency and improved employee experience.

Highlights

Accenture's Unique Partnership with Workday
00:00:02

Yasi Shaeste, Senior Manager at Accenture, explains their unique partnership with Workday. Accenture is not only a partner helping clients with their Workday journeys but also one of Workday's largest customers, providing them with unique insights and the ability to test and refine offerings before client deployment.

AI-Powered Skills Inference Engine
00:00:42

Accenture and Workday are collaborating on an AI-powered skills inference engine. This tool processes various data sources to infer employee skills and their related competencies, feeding this information into Workday's skills profiles. This drastically reduces the time for skills data collection from months to hours or days, achieving 94% accuracy.

Addressing Skills Gaps and Gen AI Applications
00:02:14

Clients are actively seeking solutions for skills gaps, particularly in identifying existing skills within their workforce. Accenture's AI-powered engine addresses this by automating skill inference. Additionally, clients are interested in Gen AI applications, with Accenture exploring chatbots for routine HR inquiries and proactive employee support, balancing automation with human interaction.

Future Developments and HR Transformation
00:03:44

Building on previous partnerships, Accenture is focusing on AI and Gen AI to add value for clients, including advanced chatbot functionalities. Their HR transformation projects prioritize improving employee experience and HR efficiency, with Workday playing a crucial role in areas like people experience, employee sentiment measurement, and knowledge management.

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