Artificial Intelligence in Project Management [Guest Post]
Now, there are quite a few things that you would need to take into account when it comes to project management and the dynamic technological environment that we live in is definitely one of them. We live in a world in which technology is advancing at the blink of an eye, making it particularly important for any enterprise to consider its approaches with the upcoming changes.
Of course, some changes already here while others are far from being reached. One example is artificial intelligence. This is also commonly referred to as cognitive computing and it is something that’s quickly making inroads into certain professional services. The emerging technology is most definitely going to have a significant impact on jobs across different industries including health care, finance, and the legal world.
Even though it’s going to change jobs, AI is also going to create new ones. There are quite a few things which would have to be accounted for when talking about project management in the world of cognitive computing. Below you will find a few examples of the ways artificial intelligence can and will impact project management in the not so distant future.
1. Methods, Practices, and Tools
The AI assistant is going to be well aware of all relevant methods, best practices, and tools for the development of the project. This is due to the fact it can read and properly understand speech. The project manager will be capable of asking questions and getting specific and properly designated answers for any given management task. As the project progresses, the AI will be capable of learning about the deliverables and giving certain recommendations to the manager based on the things that are being delivered versus the things that could be delivered. It’s a form of QA as well as positive feedback – something substantially interesting and highly beneficial.
2. Scope Management
The truth is that managing the scope of a project is one of the most important things that need to be taken into thorough consideration. It is also the overall verification of the scope that is going to be delivered. This is something that people are not necessarily good at as long as we are getting rather close to the finish line. The assistant, however, will be capable of understanding the overall planned scope, which is based on the statement as well as the detailed definitions in designing certain documents. With this particular knowledge, the AI assistant can properly verify the scope based on the information from the status reports as well as on the test systems. The AI assistant can also make recommendations.
3. Time Management
Project scheduling is a daunting task! The AI assistant is capable of providing a baseline schedule that the PM can easily refine and adjust afterward. It can also make certain predictions based on empirical and historical data. This is going to improve the productivity of the PM and the entire project team. The assistant is going to plan and forecast the necessary resources based on a proper estimation model, which is maintained with the information from current and past projects. It can also determine whether the project is on the right track and if there are certain tasks at risk.
4. Cost Management
The AI can calculate a baseline, which the PM is going to be capable of adjusting and refining. This is based on the baseline schedule, scope definition, resource plan as well as the approach and risk tolerance. As the project goes on further, the AI assistant is going to make EAC as well as ETC forecasts based on the overall earned value parameters.
5. Organizational Change Management
This is something in which the PM can provide a lot more value if he had an AI assistant. Now, the majority of the routine tasks are being forwarded to the AI assistant while the PM can easily focus on the creative and social skills required for driving the necessary organizational change. This is absolutely critical and needs to be taken into proper consideration.
The truth is that the revolution in modern technology is not far from here. We are already advancing by leaps and bounds and there are quite a few things which need to be accounted for. As such, it’s important to make sure that we take advantage of the things that we are developing in order to achieve further results. AI is not yet here and there is a lot of work to be done in this regard but it’s something that could truly enhance project management. This is without a doubt one of the biggest technological steps which needs to be taken.