11 Optimizing Sustainable Project Management Life Cycle Using Generative AI Modeling

The introduction of synthetic intellect in the processes and procedures also termed artificial intelligence (AI) has risen as a disruptive catalyst across many different sectors. AI has found widespread application in automated systems, financing, and healthcare. With the increasing use of AI, models and algorithms have started surpassing the significant ideals of human performance. The significance of generative AI (GenAI) lies in its concentration on the realms of knowledge work and creative labor, which encompasses a significant number of humans, totalling billions. Procreative AI or GenAI has the potential of enhancing the efficiency and creativity of people by at least 10%. It can also improve their speed, efficiency, and overall capabilities to some extent. GenAI possesses the capability of generating immense economic value up to trillions of dollars. AI systems used to be rule-based and had limited capabilities. The emergence of algorithms for deep learning toward the century’s end paved the way for more sophisticated GenAI models. GenAI is a specialized branch of AI that specifically concentrates on the production of novel content, including audio, video, and writings, through the utilization of artificially intelligent deep learning algorithms. Implementing AI for decision- making in sustainable project life cycle operations remains difficult. Recent progress in large language models (LLMs) has empowered developers to engage with generative algorithms, effectively transforming natural language queries into code for diverse programming languages. Highly advanced technologies such as Codacy and OpenAI Codex are widely utilized to assist LLMs and their adoption is steadily growing. GenAI solutions leverage aspects such as “completion” to significantly improve the creation of software. AI is extensively used in a number of manufacturing organizations, including those in healthcare, finance, robotics, and automation. However, using AI to make decisions in sustainable project life cycle management is still a difficult undertaking. The present research explores the utilization of AI techniques for decision-making to promote sustainable operations throughout the various phases of a project life cycle. This chapter compares the existing GenAI project life cycles and also suggests the practical framework, as also provides the various futuristic recommendations for sustainable project life cycles.