As we have moved to virtual briefings, I have increasingly been excerpting short video segments (with permission ), as part of my Analyst Cam series.
This time it is Cristina Goldt, GM Talent products at Workday who provides an update on how nicely the Workday Skills Cloud has grown.
You would think the demand and supply of talent is largely driven by the skills enterprises need, and those that employees and contractors can provide. In reality, this matching is chaotic, not the least because building a decent taxonomy of skills is daunting. The Bureau of Labor Statistics catalogs over 850 occupations and has a paragraph describing each one of them, but nowhere near the detailed skills each requires. Of course, across industries the same occupation calls for slightly different skills, and each employer in turn adds their own unique nuances. So, many enterprises fall back on traditional talent filters - educational credentials, referrals, cultural fit etc.
Workday has been on a mission to respond to what Cristina calls the "Skills Imperative" and training their machines using data from their customer community with over 55 million employees. She does a really nice job describing their journey over the last several years, their skills "foundation" including their ontology and inference algorithms, how the Skills Cloud is being used by over 1,000 organizations over the "lifecycle" - hiring, up-skilling, retaining etc. their workforce, and the growing number of Workday products including Talent Marketplace, Career Hub, and Learning which leverage the skills infrastructure.
She mentions a press release during her comments. It is available here with a lot more detail about Workday's response to the Skills Imperative.
Really invigorating half an hour.
