Description: Usage pattern analysis refers to the systematic examination of data to identify behaviors or trends that deviate from the expected, which may indicate the presence of anomalies. This process is fundamental in the field of artificial intelligence (AI), where advanced algorithms are used to detect irregularities in large volumes of data. Anomaly detection is crucial in various applications across technology, from cybersecurity to industrial system monitoring and business analytics, as it allows for the identification of potential issues before they escalate into critical failures. Through usage pattern analysis, organizations can improve operational efficiency, reduce costs, and enhance security while optimizing data-driven decision-making. This approach not only focuses on identifying problems but also provides valuable insights into the normal behavior of systems, facilitating the creation of predictive models and continuous process improvement. In summary, usage pattern analysis is a powerful tool that, when combined with artificial intelligence, enables organizations to proactively anticipate and respond to anomalies.
