Artificial intelligence refers to the imitation of intelligence of humans in machines those are programmed to think like humans and imitate the actions of the humans. The utilisation of artificial intelligence in project management is on the rise and it will help the managers of the project to take decisions those are smart and effectively administer the constraints of the project. The artificial intelligence in project management assists in order to uncover insights, automate various tasks and understand the important parameters of project performance.
The report deals with the effective AI-powered agile project management. This report discusses about the ways artificial intelligence can leverage the agile project management.
The project management of agile is an approach to guiding and planning procedures of project, those are iterative. The main benefit is agile is its ability to respond to the issues as they happen all through the project. Making appropriate change to a project at appropriate time can save the assets and provide the clients a successful project within the budget of project and on time [1]. The agile project management splits projects into little components those are finished during the work sessions. It runs from the stage of design to testing and assurance of quality. These work sessions are also known as sprints. The sprints are usually short and they are two to four week long. The methodology of agile enables various teams to release various segments, as they are finished. This continuous release of schedule permits for teams to show these segments are appropriate and if these are not appropriate, then the issues will be solved quickly. This helps to minimize the failures, as there are continuous enhancements throughout the lifecycle of project. The project management of agile do not require a manager of project but a project manager is important for the success in the conventional methodologies of management of project such as the waterfall model [2]. The roles and responsibility of manager of project in management of project of agile is distributed among the members of the team. The agile project management methodology is utilised for the development of software.
There are various challenges in the project management of agile and the teams of agile need to come up with the solution to mitigate the challenges of the project management of agile [3]. The challenges are as follows:
Artificial intelligence has large potential in upgrading and speeding up the preciseness of the development procedure of software. It has an essential contribution in the development of the software and AI focus in maximizing the effectiveness and the efficiency of the project [7]. Concerning these advantages, the organizations are interested in order to invest in the artificial intelligence to upgrade the profitability. The benefits of AI in the agile project management include:
With the advent of artificial intelligence, it helps in order to identify the pattern in the data and it is essential for the making of decisions. The algorithm of machine learning contrasts the data with the database and then makes appropriate decisions.
The system of artificial intelligence should have the following features [11]:
Conclusion
From the report, it can be inferred that artificial intelligence can be utilised in project management of agile in order to successfully develop software. The agile project management is an important methodology in project management and it follows iterative method in order to develop software. The project gives a discussion of the project management of agile. It is different from other conventional methods of project management. The report discusses about the challenges of agile project management. There are various challenges of agile project management that should be solved by the team of the project. With the advent of artificial intelligence, it can be easily utilised in the agile project management in order to make decisions and successfully implement the project management.
References
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J. Shah, “Artificial Intelligence in Project Management”, The Management Accountant Journal, vol. 54, no. 3, p. 34, 2019. Available: 10.33516/maj.v54i3.34-37p.
M. Lauras and T. Comes, “Special Issue on Innovative Artificial Intelligence Solutions for Crisis Management”, Engineering Applications of Artificial Intelligence, vol. 46, pp. 287-288, 2015. Available: 10.1016/j.engappai.2015.09.002.
J. Mihajlovi? Mili?evi?, F. Filipovi?, I. Jezdovi?, T. Naumovi? and M. Radenkovi?, “Scrum Agile Framework in E-business Project Management: An Approach to Teaching Scrum”, European Project Management Journal, vol. 9, no. 1, pp. 52-60, 2019. Available: 10.18485/epmj.2019.9.1.7.
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