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Which type of AI application is most effective at identifying emerging skills gaps within an organization's workforce?



The type of AI application most effective at identifying emerging skills gaps within an organization's workforce is 'Natural Language Processing (NLP)-powered skill extraction and gap analysis' combined with 'predictive analytics' based on market trends and strategic business objectives. NLP algorithms can analyze vast amounts of unstructured data, such as job descriptions, performance reviews, project reports, internal communications, and industry publications, to identify the skills that are currently in demand and the skills that are likely to be needed in the future. This information can then be used to create a comprehensive skills inventory for the organization's workforce. The NLP system identifies the skills each employee possesses based on their resumes, past projects, and performance data. Predictive analytics can then be used to forecast future skill needs based on market trends, technological advancements, and the organization's strategic business objectives. By comparing the current skills inventory with the predicted future skill needs, the AI application can identify emerging skills gaps – areas where the organization's workforce lacks the skills needed to compete effectively in the future. For example, an NLP system might analyze industry publications and identify a growing demand for skills in artificial intelligence and machine learning. At the same time, predictive analytics might forecast that the organization's strategic business objectives will require a significant investment in AI-powered products and services. By comparing this information with the organization's current skills inventory, the AI application can identify a skills gap in AI and machine learning, enabling the organization to proactively invest in training and development programs to address this gap. Therefore, NLP-powered skill extraction and gap analysis, combined with predictive analytics, provides a powerful tool for identifying emerging skills gaps and ensuring that the organization's workforce has the skills needed to succeed in the future.