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How AI is Going to Transform Project Management

The Project Management Institute (PMI) characterizes venture administration as ‘the use of learning, abilities, apparatuses, and strategies to extend exercises to meet the undertaking necessities’.

Undertaking administration had dependably been polished casually, however, has as of late risen as a formal calling because of the interest for particular abilities and area information required for venture administration.

Today, venture administration has made considerable progress. Sufficiently long to warrant exchanges about the effect that Artificial Intelligence (you can’t escape it) could have on the space. At this point, most ventures have acknowledged that Artificial Intelligence and Machine Learning are not tragic nightmarish advancements that will take their occupations yet are in truth incredibly valuable.

Man-made brainpower causes profitability via robotization of commonplace routine errands (which already expended an enormous piece of time) and enables supervisors to center around things, for example, investigation, basic leadership, and giving knowledge. Which is unexpectedly what they were enlisted for. It has opened up an overcome new world for chiefs, particularly for Project Managers.

Undertaking administration is a greatly powerful capacity. It includes more than just arranging the stages ahead of time in light of the fact that once the execution of the stages begins, there is a huge number of outer and inner factors that become possibly the most important factor. Undertaking Managers for the most part design the calendar, gauge cost of assets and after that screen the sending of staff and assignments. There are changes, refreshes and rescheduled assignments at each phase of a task on account of the consistently changing business condition.

This is how Artificial Intelligence can come in and revamp Project Management.

  1. Improve Learning Capabilities in Project Management
    AI could potentially be used for deploying the right person for the right project. Depending on employees’ past performance in different projects, Machine Learning could ascertain the suitability of their selection for a particular project, keeping in mind their specific skills and strengths. In addition to this, by taking into account external factors that are difficult to predict, the use of AI can improve completion rates significantly. Project Managers can use this knowledge to estimate the kind of roadblocks and possible setbacks the project could face in its normal path. It improves the learning capabilities of both the team members and the Project Managers on how best to go about a project the next time.
  2. Data Accuracy
    Many teams have trouble maintaining data for their projects in a systematic and structured manner. More often than not, there are gaping holes in the data entered by teams into their project management software. The result is an incomplete, unstructured mess of data. Artificial Intelligence can fill in these data gaps. Eventually, they can prompt users to adopt better data entry practices and work with them to improve the quality of data entered.
  3. Early Problem-Detection
    Many times a project may be derailed due to a small problem that puts a spanner in the works. It may be that somehow the possibility of such a problem slipped the minds of the team members as well as the Project Managers; they are only human, after all. Artificial Intelligence employs metadata and data analytics to predict problems based on external variables as well as on past performance and behavior of team members in similar projects. Thus the Project Managers receive detailed knowledge on the kind of obstacles/roadblocks that the project is likely to face. They can take the appropriate measures to tackle the same in the early stages or to obviate the need to confront these obstacles altogether.
  4. Better Communication
    This is not a direct impact of the use of AI in project management but is a by-product. As the routine, non-essential tasks are automated, Project Managers can direct their powers of persuasion where they’re really needed: in better, more effective communication with team members, employees and project stakeholders. Project stakeholders do not want to be reassured by a chatbot spewing a pre-written script. Nor do team members want to be given a pep talk by a humanoid robot. The fact remains that human qualities such as empathy, emotional intelligence, diplomacy, and communication will remain significant for ages to come. And it’s the job of a project manager, or any manager, to embody these qualities and add value to the organization by doing so.
  5. Improve Assessments to Identify Risks
    In Supply Chain Management, AI is being used to provide real-time tracking updates on drivers and tasks. Any shipping errors or discrepancies are visible in advance and can be handled better. AI can do the same for project management. Clickup is a recently launched project management tool whose algorithms can revise time estimates and predict deadlines that won’t be met. Basically, Project Managers could receive a checklist of risks that could potentially arise, giving Project Managers ample time to assess the scenarios and devise solutions for the same.
  6. Improve Productivity
    Positive transformation is all about productivity. Improved learning, reduced idle time, and automation of routine tasks all add up to the improvement of productivity of the entire workforce or team. AI-driven solutions such as harmon.ie sort through communication across various channels and consolidate relevant information from all your apps. Team members will do more in less time, and they will do it better. With increased knowledge and risk aversion techniques available at their disposal, Project Managers will also be able to be more productive, provide better insights, and deliver better quality projects to the company.
  7. Taking Over Administrative Tasks
    Project management AI will be instrumental in removing the mundane, routine tasks from a project manager’s itinerary. Instead, it will automate these tasks, and administrate without the need for human input. By removing these administrative tasks, Project Managers can add more value to the project and get more work done at the same time.

Final Thoughts
It is apparent that Artificial Intelligence has an immense scope for application in project management. We have seen the benefits that it can bring to Project Managers as well as team members by reducing the time taken and improving productivity. AI could serve as powerful virtual assistants to Project Managers in the form of chatbots such as Dialogflow. Apps such as Forecast and Clarizen help them learn from their mistakes, avoid common pitfalls, and improve the quality of projects. What’s more, it allows for a greater focus on the human aspects of project management. One wonders if all the AI skeptics and naysayers are simply opposed to a progressive way of working.

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