How Project Management is Changing: 5 Trends

We tell you why “good” and “bad” methodologies are a relic of the past.

Agile Manifesto – a document defining the principles of Agile methodology – was created 21 years ago. Its main assumptions – “people first, processes second” and quick response to changes instead of rigid adherence to the plan – are still relevant. However, some approaches and tools have evolved, become more complex and better structured, the approach to teamwork and the vision of the project manager as a team leader have also changed. Now, some of the PM’s duties can be entrusted to artificial intelligence, and a project manager who does not develop their soft skills is perceived as less professional.Based on articles by TheProjectGroup , ProofHub and Rebel’s Guide to Project Management, we talk about five trends that are germinating in the area of project management, we talk in our article.

Trend #1: Artificial Intelligence Takes Over Some of the Project Manager’s Responsibilities

According to a study conducted by the analytical platform Cognilytica list of bahrain cell phone numbers 86% of project managers favorably treat artificial intelligence technologies. Those who have already implemented them in their projects report a 20% increase in efficiency.

The main advantage of artificial intelligence is the ability to process large amounts of data (including extensive project documentation) in a shorter time, and perform routine activities. According to Gartner’s forecast, in 2030 artificial intelligence technology will be able to handle 80% of project managers’ tasks.

What are the benefits of implementing artificial intelligence technology for project management in 2022?

#1 Decision-making support

Artificial intelligence is not only able to process data or automate simple tasks, but also take into account the “human factor” by creating recommendations for PMs:

what resources are worth using to complete a task;
what risks the project may face;
what number of meetings will be optimal for the team.

The GiniMachine , WorkStreams.ai and ClickUp platforms already offer support for project managers in this area , preparing forecasts and visualizing data in the form of infographics, diagrams and charts.

#2. Predicting Results Using Machine Learning

Based on statistical data and machine learning technology digital marketing in 2032: what do industry leaders predict? artificial intelligence can not only recommend something, but also predict the success of projects.

Artificial intelligence can analyze the project life cycle and prepare a forecast regarding:

time to complete task X;
the possibility of achieving specific KPIs and estimating how much time it will require;
budget implementation.

#3. Eliminating errors

Project managers are already increasingly using artificial intelligence to identify problems in the early stages of project implementation.

How does it work?

Artificial intelligence records the life cycle of one successful project in the company.
Artificial intelligence observes processes in another project, analyzing team collaboration, documentation, task lists, and reports.
With a template of a successful project benin lists AI can warn the project manager about problems that arise at certain stages of the project (for example, if a KPI is calculated incorrectly). This helps avoid situations where a similar error leads to project deadlines being postponed, efficiency drops, or incorrect KPIs.

#4. More effective work of project teams

At the beginning of 2022, 53% of service-based companies said they intend to implement chatbots in the next 18 months (a figure that is 136% higher than in 2021). At the same time, 56% of companies believe that chatbots increase project effectiveness and team member engagement.