AI can be used to improve onboarding and ongoing training, helping employee retention.

A Deloitte survey released in October 2022, “State of AI in the Enterprise,” Fifth Edition, found that more than 90% of companies believe AI-powered learning will be important for their organization’s success in the next three years. By leveraging AI-powered personalized learning, real-time feedback, and data-driven performance evaluations, and identifying training needs, organizations across industries can create a more efficient, effective workforce. AI-powered training can help drive success throughout an employee’s tenure, from onboarding to continual learning to enhancement of the everyday work experience. At the same time, AI-powered training drives operational efficiencies by measuring training effectiveness and, as a result, providing hard data on the ROI of a training program. The ability to track a training program’s ROI is no small thing when one considers the investment made in training by U.S. companies. According to Statista’s November 2023 report, “Expenditure Breakdown in the Training Industry in the United States from 2016 to 2023,” “companies active in the U.S. training industry had a combined annual expenditure in terms of training staff payroll of 63 billion U.S. dollars and spending on outside products and services amounted to roughly 10 billion U.S. dollars.” Effective training is especially important in industries experiencing significant labor shortages, such as manufacturing. The traditional method of measuring training effectiveness has largely been to survey trainees following their completion of a training course. This subjective approach doesn’t provide the hard data needed for true measurement. By contrast, AI-powered training approaches can measure actual on-the-job performance and correlate that back to the training completed for that job, creating an accurate picture of the effectiveness of that training.

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