The Techint CEO participated in an open meeting for students of the Faculty of Engineering. He asked for “vision of industrial development.”
The image draws attention: Paolo Roccastrong man of one of the companies with the greatest international projection in the country, sitting on the floor of the University of Buenos Aires (UBA) With his 72 years. Although he did not graduate in that institution, the CEO of Techint He starred in an exchange with about 200 students from the Faculty of Engineering.
“I think that A country needs vision of industrial developmentalso needs empathy with the work that many small and medium enterprises do, which today are our suppliers or our clients and that also have to transform their companies, modernize and introduce advanced technology. Now, In order to strengthen an industrial structure, dialogue is neededan understanding is needed, “Rocca said in the UBA.
He also said that “Industrial employment is essential for the progress of a civil society and involves many services related to this. Our great battle, which was my grandfather’s and has been that of my family, my father and mine too, is that of defend the idea of the importance of an industrial component in a countryan industrial growth capacity, Because industry is the place where innovation develops. “
Industrial future: artificial intelligence and energy
With the prospect of adopting the processes of their companies to the energy transition, Rocca said that “all our societies have a Decarbonization Plan That has a commitment. Tenaris has a 30% reduction commitment around 2030. Ternium has a 15% reduction commitment of its carbon emissions. “
The industrial leader was also consulted on the applications that the artificial intelligence In your signatures. “Us We apply it to the production processes, where the variables are infiniteThey are many. In a rolling of a tube are the temperature analysis, the levels on the length of the piece, on the diameter, the heat treatment, many variables that should gradually allow us to reduce defectiveness and achieve perfection in the processes, “he exemplified.
Then he argued that “this For us it is still initial because creating the Data Leaks of millions of data, homogeneous and navigable, is not easy in the industrial world. Because the industrial world has different data correction technology and creating the data leak where AI can build forms of self -learning is not easy. There we have a whole development area. “
“For me we are at the beginning, we begin to intuit where it has to be, while In the medical area in the world there is already a larger extension. Our challenge is to understand how to take advantage of it differentially, “he concluded.
Source: Ambito
