Machine learning will be the principal factor in generating business value in a growing digital setting

Seminarios Els Juliols Digitalización Barcelona Energy and environment

The Strategic Customers Director of Google Cloud, José Manuel García Gavilán, confirms that the future of digital transformation depends on the use of artificial intelligence neural networks.

IKEA España, KPMG, Telefónica, Altran, Amazon Web Services, Meliá Hotels International and Naturgy elaborated on this during the event for digitalisation projects for the improvement of competition and client experience across 7 different sectors.

The future of our society’s digital transformation depends on the application of machine learning technology that, if taken to the business world, will be “the main factor in generating differentiation and business value.” That was the prediction expressed today by José Manuel García GavilánStrategic Customers Director of Google Cloud, during the Els Juliols summer course at the University of Barcelona, organised once again by the Naturgy Foundation. In the seminar ‘Digitalisation: practical cases in 7 sectors’, the director of Google Cloud shared his point of view regarding the areas in which Google is advancing, and the results of different initiatives in the medical, transport and energy arenas.

García Gavilán explained that after 6 years of investment in renewable energy to get to the point where the company ran solely on renewable energy, the application of machine learning has enabled them to reduce their energy consumption by 40% “which in a company with a heavy energy consumption for feeding its infrastructure of millions of servers, has meant significant savings on costs.”

The director of Google called on European companies to invest in these neural network technologies that “teach computers to learn”, so as not so loose the race against countries such as the United States, and above all China.

García Gavilán illustrated other cases in which Google has worked with these artificial intelligence technologies, such as in medicine, where they have developed an app for detecting diabetic retinopathy, or in mobility, with the impulse of a driverless car.

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