As organizations seek to increase efficiency, make better-informed decisions, and deliver projects more effectively, they are turning to AI to provide insights and support at every stage of the Project & Portfolio Management (PPM) process.
Planisware can help your organization leverage AI in five stages of PPM adoption.
Generative Artificial Intelligence can be used to accelerate the project management process. In this video, we demo how AI can assist in creating the WBS and schedule of the project, as well as generate a first list of risks to work with.
Learn more about our Generative AI use cases.
Chatbots speed up user adoption by automating data retrieval and manual entry.
The AI-powered chatbot Oscar in Planisware Enterprise enables automated information retrieval in seconds through the mobile app. Curious about the status of all projects across your portfolio? Just ask Oscar!
Oscar streamlines the data entry process and improves speed and accuracy through augmented data entry. It auto-corrects mistakes, reducing errors.
Data quality is critical because it directly impacts the accuracy of AI models. Poor data quality, such as missing or inconsistent values, can lead to incorrect or biased results.
With Planisware Enterprise, you get access to anomaly detection features that automatically flag potential data issues. Fixing these will improve your data quality over time.
Project managers can use AI in Planisware Enterprise to find similar completed projects. This information can provide valuable insights into potential risks and help estimate task durations.
Particle Swarm Optimization (PSO) has long been revered for its ability to navigate complex solution spaces, but with the integration of AI, its capabilities soar to new heights. Our AI-driven PSO doesn't just optimize portfolios—it balances resources intelligently, ensuring optimal allocation across assets while considering constraints and objectives.
Watch our AI-driven PSO tackle this challenge head-on by dynamically optimizing project timing, ensuring maximum efficiency and resource utilization.
AI can improve the accuracy and speed of project forecasting. By analyzing data from previous projects, machine learning algorithms can predict project outcomes, such as completion times and costs, and help organizations to plan more effectively.
With predictive analytics in Planisware Enterprise, you can train a model on any data in the tool and use it to estimate any output. Typical use cases include:
By incorporating AI-powered predictive analytics into their PPM processes, organizations gain a more accurate understanding of their projects, and make data-driven decisions that maximize efficiency, minimize risk, and drive better outcomes.
Hear from Moustafa Mahmoud Hefny, manager of Project Management Systems and Data Management at ADNOC, on how his business started its AI journey with Planisware Enterprise.
