Authors: Priya Deshpande
Abstract: Generative Artificial Intelligence (AI) has emerged as a revolutionary force in transforming IT operations through adaptive automation. This advancement is reshaping traditional IT frameworks by enabling systems to dynamically learn, adapt, and optimize processes autonomously. Adaptive automation in IT focuses on the seamless integration of human decision-making and machine-driven responses, improving efficiency, reducing human error, and enhancing predictive maintenance capabilities. Generative AI models, powered by deep learning and advanced neural networks, contribute significantly by generating innovative solutions, automating complex workflows, and providing real-time actionable insights. The incorporation of generative AI enhances the agility and resilience of IT operations, allowing faster incident response, proactive problem resolution, and intelligent resource allocation. This article explores the intersection of generative AI and adaptive automation in IT operations, highlighting the evolution, benefits, challenges, and future directions. The synergy of these technologies promises to address the increasing complexity of modern IT environments while supporting continuous improvement and scalability. With the critical role IT plays in business continuity and innovation, generative AI-driven adaptive automation stands as a key enabler for the next generation of operational excellence. The discussion encompasses the technological underpinnings, practical applications, and strategic implications for organizations aiming to leverage AI to its fullest potential in their IT operations.
DOI: https://doi.org/10.5281/zenodo.17709327
