No matter how often it is repeated, the maxim that it is human to err does not cease to be true. That's why artificial intelligence (AI) has come, to correct clichés and, incidentally, errors.
“Data moves the world, every day we make decisions, both governments and companies, based on the use of data,” says María José Martí, an entrepreneur born in Valderrobres (Teruel, in the heart of Matarraña), trained in Barcelona. (Universitat Politécnica de Catalunya) and experienced in Chicago, Seattle and New York, where she has lived for 21 years, a city where she developed her career in large companies (American Express or Met Life). “I've always been a results-driven, data-analytics executive,” she says.
“The better data, the better decisions you can make,” he repeats as if it were the motto of his startup, which he has called ZeroError for good reason. It is an AI-based tool “to determine the quality of data”, which promises to fulfill the statement of its name, at a speed incomparably higher than the capacity of eye scrutiny and, in addition, very alert to possible traps.
After a couple of years of experimenting, ZerroError is officially presented at this edition of the Mobile World Congress, the place that Marti dreamed of to reveal his work.
“It is a romantic theme, I lived in Barcelona, my husband and my friends are Catalan and it is the event that puts Barcelona on the map,” she considers. “And then, if Mark Zuckerberg went to Mobile to explain that he had bought WhatsApp, one, being from here, how is he not going to make his company known at this summit...,” he jokes.
Zeroerror, which splits between New York and Spain in its composition, has been selected and invited to participate in Collission, next June in Toronto (Canada), one of the largest technology meetings in the world, fundamental in America.
“With AI, what we do is look for anomalies in the files without you having to say anything,” says this innovator at her residence in New York, on the eve of traveling to Barcelona for an exciting date in which, however, she detects an anomaly: the masculinization of technology.
In last year's edition, according to their calculations, there were less than 30% women among the attendees and many of them were hostesses. Its mere presence is already an impulse to correct this inequality.
He maintains that his tool does not have to mean replacing people. “In the world we live in, there is more and more data and the equipment is what it is, it will not increase,” she justifies.
Among its target clients are government agencies, public or private companies that seek to maximize their results.
As with analysts who review data, it is a bit the same what is investigated, what is important is the methodology.
The size of the files does not matter either. “AI will take them and start applying mathematical models. From there, with understandable language, it will suggest what is suspicious or what is not right,” he specifies. “There are three types of errors, human errors, process errors and voluntary errors, that is, fraud,” she points out. In fact, his work makes business opportunities stand out.
“Anything that is not perfect, you have to review it,” he advises. What if erring is no longer human?
