Project Management Institute study demonstrates the main Artificial Intelligence technologies, according to the Project Managers.

In an article released in Pulse of the Profession® few months ago, PMI explores how artificial intelligence (AI) is changing the way how projects are managed and delivered globally.

As AI projects become the norm, project managers need to better understand which technologies will help to streamline and improve their AI-based project - or at risk of being left behind. This report highlights the major AI technologies that project leaders are using to increase the productivity of project management and how to incorporate AI technologies into their daily project-oriented activities.

While project leaders are focusing on AI technologies to accelerate project productivity and quality, unlocking the full potential of AI requires the development and constant knowledge of emerging technologies. Actually, the report reveals that organizations and their project leaders will need a high project management technology quotient (Project Management Technology Quotient - PMTQ) - a way to assess organizations' ability to manage and integrate technology based on needs organizations or projects in progress - to make the AI ​​strategy a reality.

“In an increasingly project-based economy, the most visionary organizations know that the success of their strategies depends on how well the projects are executed. And the race for AI dominance is no exception,” said Michael DePrisco, vice president of global solutions at PMI. “As we see, AI technologies continue to be integrated into organizations. The research indicates that project managers, especially those with a high PMTQ, are well prepared to play an integral role in implementation.”

Those of interviewed for the study, 50% reported a high PMTQ (Innovators) and 10% reported practicing the PMTQ principles only occasionally or never (Laggards).

Most of both groups say that their project management skills and experience are a good foundation for AI management. But Innovators have advantages: 74% of them, said that they are confident within their current skill set allows them to work with AI, compared to 51% of Laggards.

Furthermore, Innovators allude to having more awareness and experience with various AI technologies, including knowledge-based systems, decision management, voice recognition and specialized systems. These respondents also report providing better results when using AI technologies including decreasing time spent on activities such as monitoring progress, managing documentation, as well as planning activities and resources.

The main technologies that the interviewees cited as promoting productivity growth are:

Automation of robotic processes: Technology that mimics and automates human tasks to support corporate processes.

Machine learning: Technology that allows computers to learn by using pattern detection for improved decisions in subsequent situations.

Reinforcement learning: a machine learning technique that allows software to learn in an interactive environment by trial and error using comments from its own actions.

The main technologies that respondents identify as increasing quality are:

Anti-bias solutions: Technology that automatically identifies bias in a variety of AI algorithms.

Specialized systems: Technology that emulates and imitates human intelligence, skills or behaviors and generally offers specialized knowledge in a particular field, topic or skill.

Knowledge-based systems: Technology that understands the context of the data being processed to assist with problem-solving procedures and to support human learning, decision-making and actions.

Daily we face with AI terms and maybe don’t understand what they means, on the figure below we can find out more about the trendy the trendy terms:

While it is clear that AI can make a difference in delivering value, it is up to organizations and their project leaders to identify and understand which technologies can best help them achieve their specific goals and deliver long-term success.

Read more about this in the Pulse of the Profession® In-Depth Report: AI @ Work: New Projects, New Thinking. The Pulse of the Profession® In-Depth Study was conducted online between June and July 2019 and featured 780 project management professionals globally.

 

Note and Disclaimer: The author of this Blog post is Ivan Alves Moreira. He is the guest author of PMI.hu. The writing reflects the author's own professional opinion, findings, and conclusions, which do not necessarily agree with the position of PMI Budapest, Hungarian Chapter, and cannot be considered as an official recommendation, resolution, or opinion of PMI Budapest. The copyright and publication rights of the writing belong to the original author.