Not because it is repeated does the maxim that to err is human ceases to be true. Artificial intelligence (AI) has arrived for this, to correct clichés and, incidentally, mistakes.
"Data moves the world, every day we make decisions, both governments and companies, based on the use of data", says María José Martí, entrepreneur born in Vall-de-roures (Terulos, in the heart of Matarranya) , trained in Barcelona (Universitat Politècnica de Catalunya) and worked in Chicago, Seattle and New York, where he has lived for 21 years, a city where he developed his career in large companies (American Express and Met Life). "I have always been an executive dedicated to results and data analysis," she says.
"The better the data, the better the decisions you can make", he repeats as if it were the motto of his startup, which has not been called ZeroError for nothing. It is an AI-based tool “for determining the quality of data”, which promises to live up to the statement of its name at a speed incomparably greater than the ability of the eye to scrutinize and, moreover, 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 Martí dreamed of revealing his work.
"It's a romantic theme, I lived in Barcelona, my husband and my friends are Catalan and it's the event that puts Barcelona on the map", he considers. "And then, if Mark Zuckerberg went to Mobile to explain that he had bought WhatsApp, one, who is from here, has to go and publicize his company at this summit...", he jokes.
Zeroerror, which splits between New York and Spain in its composition, has been selected and invited to participate in Collision in June in Toronto (Canada), one of the largest technology gatherings in the world, fundamental in America.
"With AI, what we do is look for anomalies in the files without you having to tell it anything", points out this innovator in her residence in New York days before traveling to Barcelona for an exciting appointment in which , however, detects an anomaly: the masculinization of technology.
In last year's edition, according to his calculations, less than 30% of the attendees were women and many of them were hostesses. Its mere presence is already an impetus to correct this inequality.
He claims that his tool should not mean replacing people. "In the world we live in there is more and more data and the teams are what they are, they will not increase", he justifies.
Among its target customers are government agencies, public or private companies that want to maximize results.
As with analysts who review data, it does not matter what is investigated, what is important is the methodology.
It also doesn't matter the size of the files. “The AI will take them and start applying mathematical models to them. 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, procedural and voluntary, that is to say, fraud", he points out. In reality, their work makes business opportunities stand out.
"Anything that isn't perfect needs to be reviewed," he advises. And if to err is no longer human?
