Artificial Intelligence Requires New CIO Competencies
Reorganizing organizational structures and studying new technologies are two other pillars; in 2050, the intelligence of the machine will match that of humans
Artificial Intelligence will be as efficient as the human mind by 2050. That’s what research shows at Stanford University in the United States.
According to experts, computers are already beginning to assimilate information from the data collected, just as children learn from the world around them.
Thus, companies of all sectors and sizes are being transformed with gain of agility and reduction of costs. At Vale, for example, the estimated benefit for 2018 is $ 26 million.
There are ten IA projects that establish new maintenance methodologies for mine equipment, help avoid problems on railroad tracks, and promote improvements in the management of ore beneficiation and pelletizing plants.
“Jobs that consist of well-defined tasks and procedures can be replaced by sophisticated algorithms,” says Cezar Taurion, partner and chief of digital transformation at Kick Ventures.
With this in mind, companies need to prepare for significant changes in their structure and organization. According to the expert, four pillars can help in this journey:
CIOs with new skills
To stay competitive in this market, IT leaders need to develop some skills as well as seek new talent for the area.
“CIOs and other executives, especially CEOs, must understand that we are facing a change with speed and breadth never before seen,” says Taurion. Knowing how to work in a less hierarchical and more adaptable model is crucial in this context.
In addition, the CIO needs to have social intelligence, ability to connect with others, proficiency in thinking and propose solutions and answers that go beyond routine, the ability to operate in different cultural contexts and work in teams in a virtual way.
Reorganization of organizational structures
need to be more fluid and integrated. For this, it is important to redefine the functions and activities of the professionals, dividing them into tasks and subtasks.
Thus, it is easier to identify what can be done by machines in the future. In addition, with Artificial Intelligence, hierarchical structures are typically no longer needed as companies will be structured in networks and modeled to be exponential, increasing the need to retrain careers and talent retention models.
Study of new technologies
Machine learning, a tool that helps the computer find hidden insights without having to be programmed; deep learning, which allows the machine to “think, learn and act” as a human being; and data science, mechanisms to create value from the data, are concepts that must be studied, since they are directly related to Artificial Intelligence.