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What is AIOps?

AIOps refers to the use of artificial intelligence (AI) and machine learning (ML) to manage and automate IT operations. It enables organizations to process vast amounts of log and monitoring data from networks, applications, and servers to predict issues and resolve them autonomously. AIOps platforms provide functionalities such as event correlation, anomaly detection, automated remediation, and optimization. By reducing the burden on IT operations teams and improving system availability, AIOps plays a critical role in modern digital transformation strategies.

Support vector machine
A Support Vector Machine (SVM) is a supervised learning algorithm used for classification and regression tasks. It identifies decision boundaries by maximizing the margin between data points, making it effective in text classification, image recognition, and anomaly detection.
Personal Data Protection Bill
The Personal Data Protection Bill (PDPB) is a proposed legislative framework aimed at defining rules for data collection, storage, and security. It sets out provisions for user consent, data processing limitations, cross-border data transfers, and penalties for non-compliance. The PDPB serves as a foundation for strengthening data privacy rights and ensuring responsible data handling by businesses and government agencies.
Data visualization
Data visualization is the graphical representation of information through charts, graphs, and dashboards. It simplifies complex datasets, enhances understanding, and enables data-driven decision-making across industries.

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