Embedding GenAI into Continuous Training and Learning Company Strategy

Abstract

Generative AI (GenAI) is an advanced form of artificial intelligence (AI) that can analyse large amounts of data and generate new data from existing datasets.  The use of it in business supports the acceleration of productivity and innovation, i.e., by automating content creation, enhancing customer service, and optimizing workflows. Companies need continuous training and learning strategies that embed GenAI to align employees' development with organizational goals, bridge skill gaps, and drive long-term growth. This ongoing process should be based on upskilling, reskilling, and cross-skilling. Employees should be supported within an informal, proactive learning effort to acquire knowledge and adapt to evolving technological, personal, and professional environments. This paper presents first the potential of GenAI to boost productivity and enhance customer experience.  Organizations must address questions about GenAI's impact on their businesses, as advances in AI could transform traditional business models and the nature of employees' work. Then, the process of embedding GenAI into a continuous training and learning company strategy, along with the requirements to consider when developing such strategies, is presented. Necessary methods are provided to evaluate the strategy, including the effectiveness of training programs, which is assessed through the collection and analysis of analytical data, as well as the monitoring of upskilling, reskilling, and cross-skilling programs. The primary conclusion of this paper is that by embracing continuous training and learning, promoting lifelong learning, and cultivating a culture of innovation, businesses can unlock the full potential of Gen AI. This process drives growth and efficiency and ensures that employees are equipped with the skills needed to work successfully in an AI-enhanced world.