AI-Driven Project Management

CHAPTER 9Risk, Ethics, Prediction, and Decision Making in AI Projects

Traditional project management decision making implies a sequential selection process that is applicable at different points in a project to achieve success. In traditional project management practice—often embodied in the linear approach of the waterfall methodology—the authority is hierarchical and decisions flow sequentially. Key areas of decision making include:

• Initiating: Determining the feasibility of the project and its alignment with the strategic business objectives
• Planning: Deciding on project scope, timelines, cost estimates, quality targets, and resource deployment
• Executing: Deciding on tasking, allocating resources, and rescheduling work
• Monitoring and Controlling: Taking continuous actions, relying on performance metrics, risk contingencies, and inputs from stakeholders to keep the project moving in the right direction
• Closing: Formal closure of the project, release of resources and evaluations

Revolutionizing Decision Making with ChatGPT

Data analysis and speedy decision making through actionable insights will be revolutionized by ChatGPT for project management. Using a diverse approach with multiple disciplines, ChatGPT provides accurate data-based decision outcomes with efficient prompt engineering, improving the quality of the decisions made. Potential applications include:

• Data analysis: Quickly examining big datasets for summaries, trends, and recommendations.
• Template responses: ...