Last Updated on: 29th July 2024, 05:25 pm
When it comes to integrating AI technology to enhance project management workflows, the future is already here. The implementation of artificial intelligence and its positive impact on project management is being demonstrated as we speak, even at this early stage.
Think AI-assisted task automation, planning and scheduling, enhanced productivity tracking, automated budget management tools, as well as future-proofed project planning thanks to predictive analytics. For project managers, using AI has been shown to result in a greater degree of efficiency, effectiveness and workflow productivity overall.
To learn more about the advantages of AI innovations for project managers, consider completing an online Master of Project Management, or another related course in the field.
Alternatively, just keep reading as we discuss further.
The Benefits: Why Should Project Managers Embrace the Application of Artificial Intelligence to their Workflows?
So, why should project managers care about artificial intelligence? Can it honestly make a difference to their workflows?
In short, the answer is yes. The truth is that continual developments in AI technology are quite literally transforming project management. How? For starters, AI-enhanced project management software can assist with better, more effective decision-making, planning and strategising. In addition to this, AI can facilitate speedier reporting and data analysis, as well as help with task scheduling and delegation. AI technology can even automate those menial, time-consuming tasks – the pesky little jobs that can just as easily be completed by a bot as they can by a human. Also, AI can help project managers more effectively monitor the progress of projects they are overseeing, by supporting clearer and more accurate visualisation of the big picture.
With the added benefit of simplifying your workload and making your job as a PM easier – why would you say no? In truth, with increased productivity and more efficiency also comes reduced stress. Here’s how to make the most of these new AI innovations.
Innovations of the Future: How Can Project Managers Integrate Futuristic AI Technology into Their Current Processes?
The application of AI to PM processes is an emerging trend that is actively shaping the future of project management. Just some examples of how project managers can integrate AI technology into their current processes:
Artificial Intelligence for Task Automation and Scheduling
Yes, sometimes there are mundane, repetitive tasks we are required to complete as part of our jobs. Yawn!
The good news? We can use artificial intelligence to do the boring parts of our job for us. Think automated minute-taking and Chatbot-generated generic email templates, for instance. You can even get an AI bot to whip up summarised data for your reports. No one enjoys updating spreadsheets, surely? If the thought of opening up Excel makes you want to take a nap, you can get AI to do it for you.
AI-Enhanced Progress and Productivity Tracking
Using AI-enhanced productivity apps is a godsend for project managers. Some of the best AI tools for project managers include:
Trello
While this productivity platform has admittedly been around for ages – it was one of the first of its kind – the app’s developers have recently introduced an AI feature. Known as Trello’s ‘Strategy-AI Power-Up’, this innovation can help project managers better visualise a project’s moving parts.
Asana
Asana is also an established and well-used productivity tool. Most recently, the program has been enhanced with the introduction of the AI-supported ‘Asana Intelligence’, which can help project managers better identify risks, and potential obstacles to completing projects.
ClickUp
If you’re a PM who is into data-informed predictive analytics, ClickUp is for you. The app can help PMs make better decisions based on real-time estimations about upcoming costs, risks, and opportunities.
Hivemind
In addition to its existing function as a task delegation tool, Hivemind’s recently introduced AI feature can also assist PMs with task automation.
Future-Proofing Projects with AI-Supported Predictive Analytics
It’s obvious: if you look at what’s happened in the past, you can use this information to predict what might happen again.
In this sense, analysing historical data can help inform your future decisions. Known as predictive analytics, utilising AI to support this process is highly beneficial. Making use of AI to analyse data from the past can save you time, and resources, and is – quite frankly – much easier than the alternative.
