Anomaly detection is a machine learning technique used to identify unusual or anomalous patterns in data. The goal of anomaly detection is to find observations that deviate significantly from normal or expected behaviour.
In other words, anomaly detection is a technique that allows artificial intelligence systems to identify data that does not conform to expected patterns, which can be very useful in detecting fraud, security intrusions, system failures, and other unexpected events that may have a negative impact on the performance or security of a system.
Anomaly detection is a widely used technique in industry and can be applied to a variety of fields, such as critical infrastructure monitoring, disease detection in the medical field, error detection in industrial production, and financial data analysis.
All businesses usually plan for annual growth, although not all of them achieve it. Increasing the sales of a company in 2022 is [...]
Read More »After the revolutions led by coal, electricity, and then electronics, society is now witnessing a fourth revolution in the energy sector.
Read More »You are probably wondering, what is surety insurance and how does it help your company? In today's economic environment, [...]
Read More »An article published in April 2021 by Óscar Jiménez El Confidencial, was titled "34,000 M prize for banks for applying well i [...]
Read More »
