{"id":4023,"date":"2022-01-27T10:59:55","date_gmt":"2022-01-27T10:59:55","guid":{"rendered":"https:\/\/www.teamly.com\/blog\/?p=4023"},"modified":"2024-03-22T13:17:44","modified_gmt":"2024-03-22T13:17:44","slug":"ai-in-project-management","status":"publish","type":"post","link":"https:\/\/www.teamly.com\/blog\/ai-in-project-management\/","title":{"rendered":"4 Major Uses of AI in Project Management"},"content":{"rendered":"

Project managers are under persistent pressure to juggle multiple tasks and deal with competing priorities. Today, when they\u2019re in constant search of help, the role of artificial intelligence in project management<\/a> can\u2019t go unnoticed.<\/p>\n

Just think about it.<\/p>\n

You delegate some parts of the work to your intelligent assistant that can analyze massive amounts of data, find patterns, learn from them, and make superfast predictions \u2013 without ever complaining of being tired!<\/p>\n

It\u2019s not science fiction. It\u2019s a globally evolving trend.<\/p>\n

One of the recent research by McKinsey<\/a> indicates that in 2021, fifty-six percent of surveyed respondents have already adopted artificial intelligence (AI) in at least one function of their business.<\/p>\n

What\u2019s more, AI software, hardware, and services are estimated to grow year over year. According to IDC (the International Data Corporation), worldwide revenues for the AI market<\/a> are predicted to hit the $500 billion mark by 2024.<\/p>\n

Wait. Did you just think it\u2019s only about tech companies? Absolutely not.<\/p>\n

The artificial intelligence industry already determines how projects are managed across all possible domains and business fields.<\/p>\n

In the construction field, for example, AI is used to monitor projects for errors, automate planning, identify paperwork inefficiencies, and conduct site inspections. Media and telecom companies, on the other hand, use AI to offer targeted content, provide more personalized experiences, and automate their newsrooms.<\/p>\n

The good news for project managers is \u2013 today, processes are faster, and hardware is cheaper. Leveraging AI, without a doubt, is becoming an exciting journey.<\/p>\n

Let\u2019s now look at the use of AI in project management and how it can power day-to-day operations for smarter and more profitable results.<\/p>\n

\"What<\/p>\n

<\/span>What is artificial intelligence (AI)?<\/span><\/h2>\n

Artificial intelligence (AI) is the imitation and modeling of human cognitive processes by computer systems, allowing machines to mimic human abilities (such as to reason, discover meaning, or generalize). AI analyzes massive data sets through algorithms to identify features, classify types, learn preferences, and predict action.<\/p>\n

Put another way, AI is about input and output; you feed the machine with data, and it generates results to serve a specific purpose.<\/p>\n

\"What<\/p>\n

<\/span>What is artificial intelligence in project management?<\/span><\/h2>\n

Project management AI can be viewed as a system incorporated into the project management process to supplement human activities. It relies on the limitless processing capacity of machine learning to infer meaning and help with project-related decisions.<\/p>\n

The key role of AI in project management is to add value in different stages of the project lifecycle. AI can allocate resources and distribute tasks, assist in matching the right skills and responsibilities to the right resources, help with the hiring process by engaging the most competent talent for your project.<\/p>\n

1. AI for automation<\/h3>\n

Think of AI as a savior. It\u2019s here to liberate you from mundane, data-driven, and monotonous tasks.<\/p>\n

Project managers are bogged down by lots of repetitive and manual work<\/a> that can and should be automated. What are some of the necessary but low-value tasks? Identify them and let AI take them up to reduce grunt work in project management.<\/p>\n

By taking on labor-intensive activities, AI frees up project managers\u2019 time to focus on something more creative, meaningful, and intellectually stimulating. All of a sudden, project managers have more time for the core areas of their business: people management, project vision, team building, and network development.<\/p>\n

The same is true for our teams. Chatbots<\/a>, for instance, can automatically answer customers so that the customer service folks can concentrate on handling more complex issues.<\/p>\n

2. AI for intelligent assistance<\/h3>\n

What are my five most high-risk projects now? Which ones should I be worried about? You don\u2019t have to shuffle through dozens of lists and spreadsheets to find answers to questions. You simply have to ask, and the answer will be provided in no time.<\/p>\n

Consider the following scenario.<\/p>\n

Your project has been delayed. You need to start it next month rather than this month. AI-driven algorithms are given a task to shift your resourcing around and rearrange them for the upcoming month. And voila \u2013 the new plan is ready with a single command! You can now use AI to facilitate and centralize processes. Pack the schedule for your team in an optimal way so that workload is distributed fairly without any impact on project timing.<\/p>\n

\"AI<\/p>\n

3. AI for predictive analytics<\/h3>\n

Predictive analytics is the use of AI in project management to assess what will happen in the future. With all the investment that goes into the AI market, data pools and data lakes will surely start providing increasingly accurate insights, enabling us to make predictions by eliminating human error and bias.<\/p>\n

The insights received through AI can be not only valuable but also actionable. Deploying your robot army may help you get automatic alerts and draw insights at superhuman accuracy. For example, you might predict during certain events that there is an increased likelihood of network outage and plan your steps accordingly.<\/p>\n