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When we look at profile data in Figure 2 (see “Methodology” at the end of this article for more information on data sources used for this analysis), it looks like supply into the profession hasn’t moved much since 2020, resulting in shortages.

For this reason, 53% of them will offer a cancer-focused center of excellence approach in 2024, the survey found, with an additional 23% considering this approach by 2026. 2.

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Instead, the tool might recommend terms like, “a great model for everyone,” or simply, “a great role model.”

If they have the bandwidth, an HR analyst or total rewards (TR) professional in a larger organization can perform manual statistical modeling using software like Python and R for frequency distributions, cross-tabulations, chi-square tests or regression analysis.

The traditional total rewards model is rapidly becoming outdated.

What You Will Learn: See how AI capabilities (automation, generation, analysis, prediction) apply to Rewards work;Understand how Large Language Models (LLMs) work in non-technical terms;Learn what data you should never share with AI tools and how to protect employee privacy;Identify where AI adds value vs. where human judgment remains essential;Recognize AI bias;Establish personal AI usage guidelines aligned with your organization's policies; Week 2: How to Talk AI: Writing Better Prompts Duration: 60 minutes Learn how to write clear, effective prompts and get more consistent results from AI tools.

Building Internal Models Some organizations are looking to build internal models backed by artificial intelligence that enable them to automate processes and create behavioral nudges that help leaders and employees make better decisions around skills development.

(McKinsey, LeanIn.org. 2023) 2.