Artificial intelligence for managers is all about saving time by automating repetitive and tedious tasks. It’s also about better predicting risk and eliminating human error. Ultimately, it’s about increased productivity for the entire team and the ability to focus on strategic decisions rather than day-to-day tasks. Read on to find out more.
Artificial intelligence is already making its way into the project manager’s office. Gartner analysts predict that by 2030, up to 80% of tedious project management tasks will be automated by AI. Don’t take these numbers as a warning but as an invitation to explore the possibilities of artificial intelligence today.
Treating AI as a partner in management undoubtedly opens up new horizons. AI can be seen as a modern assistant that not only streamlines daily tasks but also provides interesting and often surprisingly relevant insights into ongoing projects and collected data. But in what areas can AI management help an organization achieve better results?
Artificial intelligence isn’t just about saving time on mundane tasks. It’s also about better risk forecasting and project planning.
Specialized applications based on machine learning and big data analytics can help managers identify potential risks they might not otherwise see. What’s more, algorithms can suggest the best preventive measures and modify schedules to avoid the risk of delays or increased costs.
This type of advanced decision support will enable better planning and scope definition of new projects. Processes that today are time-consuming, repetitive, and require a lot of attention, such as task planning and progress reporting, will be automated. AI will help collect, systematize, and analyze the necessary project information and propose the best plan of action, taking into account possible risks.
This will give managers more time for strategic decisions and ongoing optimization of initiatives. They will be better prepared to lead new projects, having greater confidence that they will achieve goals without unforeseen costs along the way.
Artificial intelligence also offers great opportunities for optimization in the daily work of project management offices (PMOs).
Intelligent analytics and automation tools are already helping to improve PMO performance. For example, French President Emmanuel Macron, one of the leading proponents of AI in Europe, has used the latest technology to provide updates on public projects in the country.
Similar advanced decision support systems allow projects to quickly and continuously analyze progress, anticipate potential problems, and automatically respond to simple issues. They also generate reports, collect feedback, and even perform many administrative and communication tasks through virtual assistants. For example, sending reminders, status updates, or preparing risk and stakeholder analyses.
This gives PMO staff more time to make strategic decisions instead of performing standard office tasks.
Data analysis and performance reporting is another area where AI assistants will relieve managers.
Artificial intelligence can analyze information up to hundreds of times faster than humans. In addition, algorithms that learn from large amounts of data from previous projects can identify regularities and trends that are invisible to the human eye. In this way, AI not only generates reports in a fraction of a second but also provides valuable insights for optimizing future initiatives.
With AI in data analysis and reporting, managers can make better decisions and increase team and project productivity across their organizations.
Source: DALL·E 3, prompt: Marta M. Kania (https://www.linkedin.com/in/martamatyldakania/)
AI can contribute to a huge increase in work efficiency, especially in IT teams. A common challenge in project management is testing the final technology solutions created by the team.
Here, too, artificial intelligence offers some tangible help in the form of automating the testing process. Advanced systems can detect faults early and run self-correcting mechanisms, reducing the need for tedious repairs by programmers.
In this way, AI assistants not only save the team time but also reduce the risk of delays and increase the chances of delivering a flawless final product on time.
From a manager’s perspective, this means a greater chance of success for the ongoing project, and for team members, satisfaction with their work, and the ability to focus on solving more complex problems instead of tedious fixes.
Top Strategic Technology Trends 2024 highlights AI as a significant factor in strategic technology decisions that impact business objectives. What other artificial intelligence trends for managers can we expect soon? Experts predict widespread adoption of AI systems for decision support, automation, and management optimization.
Project managers who choose to implement AI systems are already experiencing fewer unforeseen delays and risks due to human error. They also have accurate and constantly updated information about the status of each task, identifying delays and problems.
As these tools develop, the role of humans in the decision-making process will also evolve. AI assistants will take over standard administrative tasks, reporting, and progress tracking. Managers, on the other hand, will be required to make strategic decisions, possess soft skills, build organizational culture, and have general business knowledge.
Successful implementation of AI in management processes requires proper training and adaptation of employees’ skills to the new conditions. Managers need to know how to meet this challenge to realize the full potential of AI for the benefit of projects, teams, and the organization as a whole.
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Author: Robert Whitney
JavaScript expert and instructor who coaches IT departments. His main goal is to up-level team productivity by teaching others how to effectively cooperate while coding.
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