CIO OPINION different sources, to reduce biases and ensure that applications are less likely to make unfair decisions. In addition, it is necessary to think about the constant updating of information and its accuracy, because when it is outdated or incorrect, it produces inaccurate answers, compromising its reliability. Up-to-date data allows AI models to keep up with trends, adapt to multiple scenarios and deliver the best possible results.
In the financial market, for example, incorrect bases can result in inadequate credit risk analysis and
The way to maximize the potential of Artificial Intelligence in business inevitably passes through the quality of the data that feeds it. forecasting, leading to the approval of loans for delinquent customers or denial for good payers.
In the logistics sector, outdated and poor-quality information generates distribution problems with sales of out-of-stock products, causing delays in deliveries. And, consequently, loss of customers.
Data security is also paramount. Leaving them vulnerable in AI applications is like leaving the door of a safe open, exposing them to theft of sensitive information or the manipulation of systems to generate biases. Only through security can privacy be protected, the integrity of the model maintained and its responsible development can be ensured.
AI-ready data also needs to be identifiable and accessible in the system, or it will be the equivalent of a library full of books locked away. Knowledge exists, but it cannot be used. But it is worth emphasizing
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