Evaluating the Impact of AI-Driven Project Prioritization on Program Success in Hybrid Cloud Environments

Biswanath Saha¹, Dr. Lalit Kumar² & Prof.(Dr.) Avneesh Kumar³

¹Jadavpur University

Kolkata, West Bengal, India

contactbiswanathsaha@gmail.com

²Dept. of Computer Application

IILM University

Greater Noida, India

lalit4386@gmail.com

³School of Computer application and Technology

Galgotia’s University

Greater Noida, India

avneesh.kumar@galgotiasuniversity.edu.in

Abstract

In the rapidly evolving landscape of hybrid cloud environments, effective project prioritization is critical to achieving program success. This study evaluates the impact of Artificial Intelligence (AI)-driven project prioritization on the overall effectiveness and outcomes of programs within hybrid cloud infrastructures. Leveraging advanced machine learning algorithms and data analytics, AI systems can analyze vast datasets, including project metrics, resource availability, risk factors, and strategic alignment, to prioritize projects with higher potential for success. This research employs a mixed-methods approach, combining quantitative analysis of project performance metrics with qualitative interviews from key stakeholders in organizations utilizing hybrid cloud solutions. The study explores how AI-driven prioritization influences decision-making processes, resource allocation, and the ability to adapt to dynamic business requirements. Preliminary findings suggest that AI integration enhances the accuracy of project selection, reduces biases inherent in human decision-making, and optimizes resource utilization, thereby increasing the likelihood of achieving strategic objectives. Additionally, the research identifies challenges related to data quality, algorithm transparency, and the need for continuous monitoring to ensure AI systems remain aligned with organizational goals. By providing a comprehensive assessment of AI’s role in project prioritization, this study contributes valuable insights for organizations seeking to harness AI technologies to navigate the complexities of hybrid cloud environments. The outcomes underscore the potential of AI-driven approaches to not only streamline project management processes but also to significantly bolster program success rates. Future research directions include exploring the scalability of AI solutions across different industry sectors and investigating the long-term impacts of AI integration on organizational agility and innovation.

Keywords AI-driven prioritization, hybrid cloud, program success, project management, machine learning, resource allocation, organizational strategy, Artificial Intelligence, project prioritization, hybrid cloud environments, program success, machine learning, resource optimization, strategic alignment, data analytics, decision-making, organizational effectiveness

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