“Integration of AI and Automation in Cloud PPM Solutions”
- AI-driven analytics enable predictive insights into project risks, identifying potential delays and resource bottlenecks before they escalate, enhancing project planning accuracy.
- Automation streamlines repetitive tasks like status reporting, task assignments, and budget tracking, reducing manual effort and improving operational efficiency.
- For instance, in June 2024, ServiceNow introduced AI-powered PPM features in its Now Platform, including predictive risk analysis and automated workflow orchestration for complex portfolios.
- These advancements improve decision-making by providing real-time data insights, driving adoption across industries like IT and BFSI.
- The trend supports scalability, allowing enterprises to manage large-scale, multi-project portfolios with greater precision and agility.
