Artificial intelligence (AI) will make about 80 percent of all project management office (PMO) tasks redundant by 2030. That’s what analysts predict from Gartner. This includes tasks such as the collection, monitoring and reporting of data. Those tasks will soon be carried out by software, rather than by people.
“Artificial Intelligence is going to revolutionize how program and portfolio management (PPM) leaders use technology to support their business goals,” said Daniel Stang, a research vice president at Gartner, opposite Silicon Angle. “At the moment, the tools available to them are not sufficient to meet the requirements of a digital company.
Gartner argues that project management is ripe for acquisition by AI as program and portfolio management software providers begin to add new technologies to their products. In addition, there would be a major disruption on the market by new players.
By 2030, according to Gartner, business leaders will be able to ask systems which projects are associated with specific companies. They can also get status updates and capture parts of meetings. These tasks are now mainly performed by people, but in the future they will increasingly be handled by chatbots. In addition, they will be carried out more accurately.
“By using voice API and chat bots, PPM and PMO leaders can start using their own voices to ask questions to a PPM software system and pass on commands, rather than using a keyboard and mouse,” said Stang.
Gartner advises project and portfolio management leaders to start considering how to implement new technologies such as voice AI, machine learning and robot processing as quickly as possible. “Now that AI is beginning to take root in the PPM software market, the PMOs who choose to embrace the technology will see a reduction in unexpected problems in projects and risks associated with human error.This news article was automatically translated from Dutch to give Techzine.eu a head start. All news articles after September 1, 2019 are written in native English and NOT translated. All our background stories are written in native English as well. For more information read our launch article.