3 ways worker mobility can benefit from AI's insights

Here are examples of what AI can uncover on the job:

Technical skills. In IT development and engineering, how many bug corrections were made among a set of computer programmers, which reveals their skill level. AI can help those programmers make fewer mistakes and identify the exceptional ones for other opportunities.
Data analysis. How closely does an analyst's prediction measure up to the final product's outcome? AI can discover gaps and mistakes in quantitative analysis at scales unmatched by humans. And the technology can quickly identify who needs more training and who's ready for the next step.
Efficiency. In a call center, how often does a company representative solve a customer's problem quickly or answer a customer's question with accuracy and efficiency? A star in those areas might be easily groomed for leadership elsewhere in the company. The data is there to discover hidden gems because all calls are recorded, but only a fraction are usually monitored and often done in an inconsistent manner.

In addition to analyzing hard skills, AI can also hone in on soft skills, which are in high demand. This technology can scrutinize and benchmark problem-solving, collaboration, critical thinking and communication skills. Recent developments in LLMs, particularly with omnichannel models, show new applications in scaling coaching for employees in these essential skills. By leveraging personalized engagement and AI-driven insights, organizations can provide tailored coaching and development opportunities that were previously impractical at scale.

Instant Insights /

From overlooked to overachiever: Using AI to drive worker mobility

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