What tasks AI solves in project management
Artificial intelligence technologies are closely integrated into professional activities. It is possible to transfer routine tasks to machines, improve control over the execution of processes and generally increase work efficiency. IT companies use AI in project management, which shortens development time and reduces the risk of errors when creating functionality.
Machine learning, improved by processing and analysing data sets, underpins such services. By looking for patterns in large amounts of information, artificial intelligence can make decisions or automate tasks.
Benefits of using AI in project management
AI-based services help to prioritise tasks. They also predict the time needed to complete a particular project phase. In addition, AI allows you to identify risks associated with completing a task or work.
An essential part of project management is determining the correct timeframe for completing each stage. For this purpose, AI uses a specific algorithm of action:
- processes data from previous projects;
- takes into account the level of complexity of the tasks, comparing them with similar variations performed in the past;
- assesses the skills of the team members;
- predicts the probability of force majeure and risks that may affect the duration of the project implementation.
As a result, the AI provides a forecast of task completion. Based on this, the project manager assigns team members and prioritises tasks.
Of particular interest is the possibility of AI identification of risks that may have an impact on the quality and duration of project work. These are factors such as:
- technological failures;
- problems with human resources;
- financial difficulties;
- force majeure.
AI calculates all risks based on past experience and develops recommendations to reduce the likelihood of their occurrence.
Using AI in project management can significantly increase efficiency, including automating some processes. There are many AI services on the market specifically designed to meet the needs of IT organisations. However, many of them are still costly for businesses to implement, especially when it comes to complex projects. In this case, AI training requires the use of high-performance machines.
It is also important to note that modern AI solutions are actively evolving, and not just in terms of functionality. The emergence of new services makes them more accessible, and investments in digital transformation will pay off in the future. In addition, there are AI project management assistants that will solve basic tasks at no great cost to the business. This will allow the company to remain competitive and improve the quality of its services.
