Transient Information Adaptation of Artificial Intelligence: Towards Sustainable Data Processes in Complex Projects

Artificial intelligence applications for project management

Connectivity ◽

10.31673/2412-9070.2020.054855 ◽

2020 ◽

Vol 146 (5) ◽

Author(s):

O. V. Polonevych ◽

◽

I. M. Sribna ◽

V. R. Mykolaychuk ◽

O. M. Tkalenko ◽

...

Keyword(s):

Artificial Intelligence ◽

Project Management ◽

New Technologies ◽

Stakeholder Management ◽

Project Managers ◽

Team Members ◽

Software Products ◽

New Methods ◽

Complex Projects ◽

Opening Up

According to statistics, most projects (especially in the field of IT) are completed late, with budget overruns, or not completed at all. That is why new methods are being developed and the possibilities of applying new technologies for project management are being considered. The most promising in this regard is the use of artificial intelligence. The concepts and algorithms of artificial intelligence are widely discussed in terms of their potential for automation in business, industry and society. At first glance, project management seems less suitable for automation due to the inherent uniqueness of projects by definition. However, artificial intelligence is also opening up new possibilities for project management applications. This article will provide an overview and assessment of how artificial intelligence can be used in project management and how it can help project managers in their day to day work. A list of the main software products for project management, in which artificial intelligence technologies are integrated, with an indication of their functionality is given. It’s safe to say that with the advent of artificial intelligence, project managers will be able to optimize their efforts to accelerate the success of their product. At this point, the evolution of project management using artificial intelligence and bots is just beginning, but soon it will really change the way we manage projects. The analysis shows that the use of artificial intelligence technologies for project management will be especially effective in cases of complex projects that involve processing and analyzing large amounts of data for decision making. Obviously, using artificial intelligence will automate mundane, simple tasks like estimating an hour, scheduling a project, assigning the most effective team members, distributing risky information on a project, etc. But in terms of team management, conflict management, stakeholder management, artificial intelligence is not will replace the human qualities of the project manager.

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Transient Information Adaptation of Artificial Intelligence: Towards Sustainable Data Processes in Complex Projects

10.31235/osf.io/pagbm ◽

2021 ◽

Author(s):

Nicholas Dacre ◽

Fredrik Kockum ◽

PK Senyo

Keyword(s):

Artificial Intelligence ◽

Cognitive Load ◽

Structural Equation ◽

Large Scale ◽

Project Managers ◽

Cognitive Capacity ◽

Complex Data ◽

Structured Interviews ◽

Complex Projects ◽

The Impact

Large scale projects increasingly operate in complicated settings whilst drawing on an array of complex data-points, which require precise analysis for accurate control and interventions to mitigate possible project failure. Coupled with a growing tendency to rely on new information systems and processes in change projects, 90% of megaprojects globally fail to achieve their planned objectives. Renewed interest in the concept of Artificial Intelligence (AI) against a backdrop of disruptive technological innovations, seeks to enhance project managers’ cognitive capacity through the project lifecycle and enhance project excellence. However, despite growing interest there remains limited empirical insights on project managers’ ability to leverage AI for cognitive load enhancement in complex settings. As such this research adopts an exploratory sequential linear mixed methods approach to address unresolved empirical issues on transient adaptations of AI in complex projects, and the impact on cognitive load enhancement. Initial thematic findings from semi-structured interviews with domain experts, suggest that in order to leverage AI technologies and processes for sustainable cognitive load enhancement with complex data over time, project managers require improved knowledge and access to relevant technologies that mediate data processes in complex projects, but equally reflect application across different project phases. These initial findings support further hypothesis testing through a larger quantitative study incorporating structural equation modelling to examine the relationship between artificial intelligence and project managers’ cognitive load with project data in complex contexts.

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