How a skill-based workforce will reshape the future world of work

AI and ML Jobs

The pace of change in the world of work is relentless, matched by the speed of innovation, especially in the areas of artificial intelligence (AI) and machine learning (ML). As a former CIO, I know that without AI/ML, the transition to a skills-based workforce will not be possible. At the same time, as Chief Customer Officer, I know empathy plays a central role in deploying such technology to support our customers and their ever-changing needs.

According to a recent skills-based survey by Deloitte, only 19% of managers and 23% of workers say their jobs are best structured through their jobs. This means making job and employee decisions based on skills rather than formal job definitions, titles and degrees.

We’ve seen this talent shift at Workday. This accelerates our own culture of innovation and continues to evolve our technology built on an AI/ML foundation. This allows customers to easily and securely bring their skills data into and out of Workday.

Leaping into a skills-based organization means closing skills gaps while having tools that help identify and drive growth opportunities, upskill employees, and retain top talent. It means finding the best way to attract new top talent to help For example, Workday customers create personalized and more engaging experiences for employees by providing individualized skill development recommendations based on employee preferences and career goals. We can provide personalized learning plans, gigs, mentors, and job recommendations based on your specific skill profile.

By unlocking this data, customers gain greater insight into existing and needed skills within their workforce. This leads to more informed talent strategies that create opportunities for skill-based hiring practices.

Upskill, reskill and skill gap

The skill potential for dealing with complex business challenges is immense. Whether through talent acquisition and retention, upskilling and reskilling, workforce planning, or a combination of these, skills are the common language for understanding current workforce capabilities and future workforce needs. provide.

That’s why more than 1,325 customers today use Workday as their trusted source of skills. Our ML algorithms and relational database present skill suggestions, making it easy to identify skills to add to candidate applicants, employee profiles, job openings, and learning content, reducing management complexity .

Businesses need to be able to drive predictive insights and analytics. This will help you make decisions faster and with more confidence. People analytics helps guide executives with insights from skills trends, gaps, and KPIs through quick, easy-to-use dashboards.

For companies to succeed, they must look beyond their employees’ employment histories and instead enable them to base their results on their skills and interests. Employers should provide employees with opportunities to utilize the skills they already possess. This means having the right tools and data to make effective decisions.

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