Artificial intelligence (AI), is the ability of computers to simulate the reasoning ability of human beings.
Since the launch of the first computer, there has been speculation about the ability of machines to reproduce human intelligence. However, artificial intelligence research became popular only in 1956 (ten years after the first computer), when scientists began to test computers’ abilities to perform complex decision-making activities, in addition to simple programming processing activities that already performed.
Since then, AI studies have intensified and have even become the subject of many stories. In Hollywood, for example, there are several science fiction films on the subject, such as: Ex-Machina, Me, Robot, AI – Artificial Intelligence and many others.
All of these films treat AI as part of the future of humanity, however, we cannot refer to Artificial Intelligence just as the future. It is already present in the daily life of human beings.
In 2011, for example, Watson, IBM’s artificial intelligence computer, won the famous American question-and-answer TV show: Jeopardy. The machine answered questions in seconds, even interpreting questions with double meaning or with ironic language.
In the world of mobile devices, virtual intelligence is nothing new: in 2011 Apple launched Siri, a personal assistant for iOS devices.
Most recently, in 2016, Google launched its own virtual personal assistant, Google Assistant. An artificial intelligence for Android devices that basically works as a personal secretary: it answers questions, schedules events, remembers scheduled flights and performs functions of the device only with a voice request (such as turning on the flashlight or Bluetooth).
Artificial Intelligence is also being developed at more elaborate levels, such as:
- Machine learning: a field of artificial intelligence studies that creates systems capable of thinking alone, through a conditioning process. While the current Artificial Intelligence is programmed to solve specific problems, according to what is programmed, the machine learnign is a machine programmed to learn according to errors and experiences, developing its Intelligence independently.
- Deep learning: it is an algorithm, part of machine learning, developed to recognize patterns, images and sounds through a neural network similar to that of humans. Deep learning can, for example, recognize images and do research through this recognition (mechanisms similar to Google Images).
- Natural Language Processing: another subarea of artificial intelligence, natural language processing is a field of study that aims to understand how machines understand the language of human beings. The goal is to provide information so that computers increasingly understand the way humans communicate. This area is the basis for deep and machine learning.
But in addition to Hollywood films and mobile device tools, artificial intelligence will also bring many new features to the world of project management.
What changes with Artificial Intelligence in project management?
Artificial intelligence has been changing the world of business management, and project management is a major area affected by these changes.
Decreases the chances of error
Artificial intelligence has the necessary tools to detect errors in project management processes. Thus, it can identify and alert if the path being taken will generate risks to the project.
For example: AI can look at the actual project delivery estimates for your project and compare to the planned schedule, alerting you to delays and what can be done to overcome them.
Increases the quality of results
If the AI is able to map and identify errors before they actually happen, or can even show how to overcome them, it is possible that it will increase the quality of the project’s final result, because the smaller the errors, the greater the chances of the project. project go the way it was planned.
Makes automating tasks simple
Artificial intelligence is capable of automating some simple tasks, such as sending emails, notifying you of project delays and costs, and much more.
Automating these tasks can save the time that the project team would have to spend on everyday tasks, giving them more possibility to think about innovations and improvements for the project.
Assists in decision making
Decision-making can be facilitated with AI’s suggestions. Artificial intelligence is capable, through a large volume of data, to assist in decision making to help the project manager understand which decision will be best for the final delivery of the project.
This ability can optimize the time spent on decision making, which is often great because the project manager needs to balance all possible paths, but AI can do it for him automatically.