{"id":29841,"date":"2019-09-26T17:01:00","date_gmt":"2019-09-26T15:01:00","guid":{"rendered":"https:\/\/www.fundacionbankinter.org\/noticias\/why-is-it-necessary-to-train-in-data\/"},"modified":"2025-12-18T13:14:31","modified_gmt":"2025-12-18T12:14:31","slug":"why-is-it-necessary-to-train-in-data","status":"publish","type":"noticias","link":"https:\/\/www.fundacionbankinter.org\/en\/news\/why-is-it-necessary-to-train-in-data\/","title":{"rendered":"Why is it necessary to train in data?"},"content":{"rendered":"\n

Michael Li,<\/a> founder and CEO of The Data Incubator, participated in the last meeting of the Future Trends Forum<\/a>, the think tank of the Bankinter Innovation Foundation, with a conference on education and the need for training in data. Is artificial intelligence a considerable challenge for employment<\/strong> in the next 10 years? Michael begins his presentation by raising this question to the rest of the experts gathered, who agreed with him that it is a challenge to be taken into account. In addition, he points out, some studies show that around 50% of jobs are at risk of disappearing.<\/strong> <\/p>\n\n

Until now, education has always been a way to apply for higher-level positions and maintain employability. <\/strong>Will it continue to be like this? Michael, who confesses to being optimistic, thinks so. But, as he recalls, we need a better understanding of artificial intelligence and computers.<\/strong> <\/p>\n\n

“You have to let both humans and artificial intelligence do the things where they have a comparative advantage<\/strong>, economically speaking. Computers and artificial intelligence will probably be better for things like consistency, statistics… We have talked about competition without understanding, that competition factor is there, and we want to take advantage of computers for that kind of thing. Humans will be there to provide context and empathy.”<\/strong> <\/p>\n\n

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