Abstract: Now-a-days AI, cloud computing, and big data are integrated into the best project management practices. While all the phases of a project have varying rates for the adoption of IT solution, AI is adopted 70% in the execution phase and 85% in monitoring and control. Thus, cloud computing shows excellent use in all the stages of a project with an 85% adoption rate during execution and 90% in Monitoring & Control. On the other hand, IoT solutions have a penetration rate of about 40-60% in all stages. In comparative analysis, project success rates show that Agile projects outperformed traditional methodologies, as in the period when the percentages grew from 70% in 2018 to 85% in 2022, while traditional methods moved from just 60% to 68% within this period. This would enable the Agile methodologies, along with the use of associated IT tools in providing superior project outcomes. Some major benefits of IT solution integrations are efficiency: AI-85%, Cloud-75%-; collaboration: Cloud-90%, AI-65%-; and risk reduction: AI-80%, Big Data-75%- which shows how these tools fit into achieving success in projects. The survey also underlines significant challenges faced, especially with 40% naming risks related to cybersecurity and 30% naming data privacy concerns as hindrances. Overall, the study underlines the need to combine advanced IT solutions with the best in project management so as to move with better ease through complex digital landscapes, which will drive the success rate of the projects and reduce associated risks. Stronger IoT adaption should be built on in the future, while cybersecurity frameworks should be further strengthened. The expansion of AI-driven predictive analytics to enable a better streamlining of the realm of project management will contribute to furthering the Agile evolution and healthy change management strategies across an ever-changing digital landscape.
Keywords: Cloud Computing, Information Technology, Internet of Things, Project Management.