How to set it up?
AI has been increasingly utilized in various industries, including project management. AI has the ability to enhance decision-making, problem-solving, and planning activities, ultimately benefiting people working on projects.
Artificial Intelligence (AI) has the potential to transform project management by automating processes and providing intelligent tools to reduce manual work. The evolution of AI in project management can be categorized into four phases:
integration and automation of standard project tasks, - the emergence of chatbot assistants,
- machine learning-based project management,
- the concept of autonomous project management.
In the first phase, AI integrates and automates basic project management tasks, reducing repetitive work that adds little value to project teams.
Chatbot assistants, in the second phase, take over these tasks and replace the role of classic project managers. However, they still require human intervention.
The third phase, machine learning-based project management, enables AI to provide predictive analytics and advice to project managers. It can analyze historical data from previous projects to suggest optimal project setups and react to issues and risks. Additionally, AI can convert mind maps into semantic networks, suggest multiple project schedules, and provide real-time analysis of project data.
The final phase, autonomous project management, is still in its infancy with limited real-life use cases. While there may be potential for autonomous project management in small, non-complex projects, fully self-driven artificial project managers are unlikely in the foreseeable future. Project budgets and portfolios will still be controlled by humans to manage the risk of autonomous investment decisions.
How to use it in practice?
Below, you can find listed a few applications that can help you manage projects and they offer some free or trial versions.
1.) Asana
It leverages AI to streamline project management, enabling automation of routine tasks and providing insights for deadline forecasts and optimal workflow strategies. Its intelligent features guide task prioritization and resource allocation.
2.) Monday.com
It employs AI to significantly boost project management efficiency, automating repetitive tasks, forecasting deadlines, and tailoring workflows to fit team needs. This platform aids in optimizing resources and improving productivity, ensuring projects progress smoothly and meet their milestones.
3.) Grammarly
It enhances project management by improving written communication through error correction, style suggestions, and tone consistency. Its integration with project management tools streamlines document creation, boosts clarity, and fosters better team collaboration.
4.) Otter
It is an AI-powered transcription tool that uses machine learning to transcribe and summarize meetings, interviews, and other voice conversations. It leverages natural language processing to identify speakers and create searchable, shareable, and editable transcripts.
5.) ChatGPT
A language model developed by OpenAI that utilizes natural language processing to generate human-like text based on the input it receives. It can be used in project management for tasks such as generating documentation, answering queries, and providing assistance in a conversational manner.
6.) Virtual AI assistant
It can revolutionize project management by automating administrative tasks, such as scheduling meetings, setting reminders for deadlines, and organizing project files, freeing up valuable time for project managers to focus on strategic decision-making. Examples: Google Assistant, Cortana/Windows CoPilot.
7.) Microsoft Power BI
It transforms project management by providing advanced data analytics and visualization tools, enabling project managers to make data-driven decisions. It facilitates the monitoring of project progress through real-time dashboards and reports, highlighting trends and uncovering insights that guide strategic planning and performance improvement.