Adoption of Artificial Intelligence and Predictive Technologies in Helicopter Transportation Business: Enhancing Safety and Efficiency

Abstract

Adoption of Artificial Intelligence (AI) and predictive technology duringthe helicopter transportation business focuses on the potential to improve safety, efficiency and sustainability. This study adopts secondary data collection and thematic data analysis to analyse the use of predictive technology and AIinthe helicopter transportation business. The findings of the study AI adaptation foster decision-making, and allow the operators to respond to changing conditions and reduce connected risk. However, its maintenance poses a challenge, as helicopters are complex and subject to high levels of wear and damage because of vibration, harsh operating conditions and rotor stress. Other results increase competitiveness, operator use of predictive technologies allows for offering minimised downtime, reliable services and cuts the cost of operation compared to a regular operator. AI and predictive technologies adoption enables efficient, safer and greener operations, focuses for resilience and long-term growth of the industry.