Leveraging AI Technologies to Augment and Advance Human Expertise with JIT Learning

Abstract

The use of Artificial Intelligence (AI) technologies in decision-making and workflow automation is emerging as an obvious companion to the enterprise profession. Prominent businesses are integrating the use of both automation protocols to improve human performance. This increases operational efficiency with AI-powered automation, seamless experiences, and enterprise productivity to manage business complexity in a progressively dynamic business environment. One of the biggest issues facing organisations today is the worldwide lack of skilled technical personnel. This disparity is impeding innovation and, more importantly, is starting to affect companies' capacity to stay competitive in the quickly changing digital economy. However, it is possible that the same technologies that are causing this skills gap - in particular, AI technologies - will also provide ways to bridge it. By leveraging AI to augment and advance human expertise, companies can enhance productivity, optimize workflows, and maximize the value of their workforce. AI can help combat the shortage on human expertise and skills augmentation in innovative ways which can help the business – just in time. The goal of this article is to identify and understand circumstances leading to the need to supplement human expertise and explore how AI technologies can be leveraged to provide improved methods of corporate knowledge expertise. This research is partly constructive, conceptual, and analytical because it introduces the concept of AI-powered competency models and its adoption by organizations when they deal with the dynamic business opportunities in the marketplace.

Keywords: Learning, Artificial Intelligence, Human Intelligence, Human Expertise, Just-in-Time Learning, Competency Models, Organization Efficiency

DOI: 10.54941/ahfe1006318