The Constructor

How can Artificial Intelligence (AI) Aid Project Management?

Artificial Intelligence in Project Management

Artificial Intelligence in Project Management

Reading time: 1 minute

The application of artificial intelligence (AI) in project management can revolutionize the process of decision-making in construction. The introduction of AI tools and services increases productivity, reduces errors, and strengthens the support system.

AI helps the workforce perform more efficiently. It helps to improve the productivity of the day-to-day tasks and assists with preparing plans in advance.

This article explains the key benefits and ways in which AI aids project management.

How Artificial Intelligence (AI) Aids Project Management

The four main ways through which AI can help project management are:

  1. Improve business insights
  2. Efficient risk management
  3. Optimization of human capital
  4. Provide active assistance

1. Improve Business Insights

AI-enabled project management tools help to predict the future outcomes of a project. It helps identify the relation between several project activities and collect relevant data so that actionable insights and strategies are derived. AI tools also enhance the quality of critical decision-making.

Machine algorithms in AI support project schedule optimization to minimize the total cost based on the resource constraints. 

AI also ensures that the project managers always stay up to date with the global trends and best practices. Virtual assistants can register for online communities, training, publications, etc to stay updated with the latest skills.

The missing or limited data issue constraint by project management tools can be solved using machine learning algorithms. It is possible to find the missing data and provide recommendations to fill it accurately.

2. Efficient Risk Management

AI enables proactive risk management inputs that are more accurate than traditional software. AI puts forward corrective actions based on historical data and tracking details to alert the project manager about any upcoming risks. Here, risk mentions those related to people, vendors, entities, etc. on the project. 

AI can also study real-time data to know any signs of potential impending issues and liabilities. It is reviewed by scanning emails and documents within the organization using natural language processing. 

3. Optimisation of Human Capital

Below are some ways by which AI can help optimize human capital:

  1. Allocation of resources
  2. Identifying the right skill for the right job
  3. Prediction of shortage or excess resources
  4. Specifying training required for employees
  5. Providing feedback for project manager’s behavior and competency

4. Provide Active Assistance

AI-enabled project management assists project managers by conducting administrative and project tasks that are monotonous. The tasks include:

  1. Data entry, collection, and management
  2. Project schedule preparation and updation
  3. Reporting status and bringing exceptions to the project manager’s attention
  4. Active interaction with project managers to inform about overdue tasks, constraints, and requests from project stakeholders
  5. Listen to meetings and assign tasks to people about target dates, actions, and follow-ups

FAQs

What is the role of AI in risk management in projects?

AI enables proactive risk management inputs that are more accurate than traditional software. AI offers corrective action based on historical data and tracking details to alert the project manager about any upcoming risks. Here, risk mentions those related to people, vendors, entities, etc. in the project. 
AI can also study real-time data to identify any signs of potential impending issues and liabilities. It is reviewed by scanning emails and documents within the organization using natural language processing. 

How does AI help in human capital optimization?

The ways through which AI can help optimize human capital are:
1. Allocation of resources
2. Identifying the right skill for the right job
3. Prediction of shortage or excess resources
4. Specifying training required for employees
5. Providing feedback for project manager’s behavior and competency

Read More

Artificial Intelligence (AI) in Civil Engineering

How AI Changed the Construction Industry During Covid-19

Exit mobile version