Without a question, Artificial Intelligence (AI) is finding its way into more traditional corporate settings. It helps augment and/or supplement jobs previously performed by people, including project managers. As we all know, AI has the unique capacity to swiftly scan vast volumes of corporate data, detect patterns in data, learn from it, and make predictions. Because of its capacity to detect trends and estimate project results quickly and correctly, AI’s position in project management is critical for organizations.

When we think about artificial intelligence, we may see robots taking over our daily tasks at home and work. Yet we can assure you that AI is far more than that.


Let’s look at what that means for our general job prospects, particularly for project managers.


According to PwC’s 22nd Annual Global CEO Survey, 85 percent of CEOs believe AI will fundamentally transform how companies do business in the next five years. While robots may not steal all our jobs, the paper states that the “workforce of the future” will undoubtedly contain human-AI collaborative synergies. So, how does this affect Project Management teams? What do they need to know to remain ahead of the competition and make the most of AI technology?


Which are the top three AI positions in project management?


To begin with, AI enhances Project Risk Management. AI and machine learning technologies can improve project commercial visibility from start to finish. AI assists project management teams in identifying and forecasting hazards considerably sooner, allowing for faster action before they threaten project completion. Machine Learning and Predictive Data Analytics are used in project management to deliver more accurate insights into prospective outcomes for better, faster decision-making.

Moreover, Machine learning and artificial intelligence (AI)-powered solutions deliver precise strategic planning and risk mitigation features that educate Senior Management of project risks and task progress via real-time alerts, triggers, and dashboards. AI-driven project accuracy enables project managers to monitor the project’s progress at each step, plan for risks, and assign optimal resources, allowing them to make educated decisions and turn around forecasted outcomes.


What about AI usage in the planning and allocation of resources? 


AI-powered systems can help to expedite project planning by analyzing past data and providing estimations of project length, effort, and costs. Building bespoke processes based on expected working hours, time-off plans, and historical data may help you make the best resource allocation decisions for your projects. Applying AI in project management allows project managers to employ advanced data analysis. Thus, they can look at historical projects and forecast how much a project will cost and how long it will take, allowing them to design a more confident project management process model.

Additionally, AI platforms incorporate data from your existing technologies, like Slack, Microsoft Teams, Outlook, and SAP, to improve decision-making and forecasting, and allow employees to directly ask questions about their project in the same way that a ‘Google’ or ‘Siri’ inquiry would.


Let’s not forget the power of automation that AI guarantees for routine administrative tasks.


According to studies, project managers devote more than half of their time to administrative chores including planning meetings, check-ins, and reporting. A machine learning and AI-powered tool, is a proficient virtual assistant for project managers, stepping up and doing less strenuous everyday activities such as organizing meetings, reminders, day-to-day updates, report preparation, and other administrative chores. Since AI saves time in project management procedures, project managers may devote more time to higher-level, complicated tasks that are more important to them, such as planning and customer interaction.

AI’s huge time-saving component is not just a terrific method to help projects move more effectively, but it can also create a more comfortable, collaborative, and creative work atmosphere where people feel supported, and innovation is rewarded.

The goal with each enterprise client is to create a suite of autonomous predictive machine learning algorithms that can automatically learn from their data, improve with new information, provide accurate insights and forecasts based on its learning. This can be directly interrogated with a conversational interface to provide relevant answers.


Therefore, the influence of AI in project management is revolutionary. 


PricewaterhouseCoopers’ research on the use of AI in Project Management reminds us that there is one thing AI cannot do: be human. This indicates that project managers will remain relevant in the era of AI provided they focus on project management core competencies that emphasize human abilities, such as leadership, stakeholder management, community management, storytelling, empathy, and emotional intelligence.

According to the Project Management Institute’s 2019 report, as the usage of AI in project management grows, so does the number of people overseeing such projects. During the next three years, 27 percent of respondents said that artificial intelligence (AI) will produce more project management roles, while 80 percent of innovators’ organizations are looking for project leaders with the skills required to take the organization toward a digital environment.

Hence, when asked the ‘human versus. robot’ topic in media appearances, experts consistently respond that AI will help rather than replace project managers.

Nobody knows for certain what the future holds. What we do know is that successful project managers will be those who can go beyond the limits of ‘human’ imagination. They can answer questions about how technology like AI may provide value and promote positive change in project management and company transformations. Overall, there are tremendous potential benefits and strategic value in employing AI in project management.



Do you want to contact an expert? Contact a member of our team now to see how you can improve your project management and decision-making in your organization through the implementation of AI.

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