Enablers to The Adoption of AI/ML Technologies in Process Industries

The process industry, from its inception, is data intensive, and the advent of information technologies (IT) has ‎rapidly digitalized. Mathematical modeling for a purpose has been the axiom. This is a qualitative study in four ‎large entities in the oil and gas sector and in the automotive sector. The grounded theory method (GTM) has ‎been used by the authors for data collection and its subsequent analysis. This has enabled a comprehensive ‎insight into understanding the factors that influence the adoption of AI / ML technologies. The key themes that emerge ‎are, in the creation of technological readiness include data infrastructure, advanced analytical capabilities, the use of ‎tools such as cloud computing, and the democratization of data. Leadership drive is a critical success factor to ‎facilitate change management, allocation of resources, and constant reviews to resolve issues. The findings ‎provide practical guidance for the adoption of AI/ML technologies in the process industry‎.