BBVA has taken a firm step toward the future by expanding its Data University program, which now features new courses on generative artificial intelligence (generative AI). As part of the agreement signed with OpenAI, the bank is calling on its employees, from data scientists to any other member of the team, to apply the latest advances in AI, machine learning and advanced analytics in developing innovative financial products. BBVA’s Data University has already impacted more than 50,000 employees in 6 years, of whom nearly 5,000 have completed specialized courses. BBVA is also looking to strengthen its educational ecosystem through partnerships with prestigious institutions such as the University of Navarra, Telefónica and Coursera.
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Throughout its history, BBVA has played a prominent role in the economic and social development of Spain, propeling its progress and constantly adapting the bank in order to be at the forefront of innovation and technology. Since it was first established in the mid-19th Century (1857), BBVA has been known for being a visionary bank, with the ability to anticipate the trends that will change the financial industry and the future needs of its customers. Some of its noteworthy milestones include financing the construction of the Madrid subway system; being the first bank to allow women to do their banking without the permission of a legal guardian through the creation of the Women’s Bank; and being the first bank to introduce credit cards as a payment method. A track record that has established BBVA as a crucial ally to face future challenges and thus encourage economic growth and the transformation of businesses.
The Iberian Peninsula is on the cutting edge of Europe’s cleantech revolution. It is believed that the industry will create some 2.65 million new jobs and mobilize €150 billion in investment across the region by 2030.
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At the presentation of first-quarter results, CEO Onur Genç said that BBVA expects improved profit both this year and next year compared to the same period of 2023.
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