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AIOps processes harness big data to facilitate predictiveanalytics , automate responses and insight generation and ultimately, optimize the performance of enterprise IT environments. Primary activities AIOps relies on big data-driven analytics , ML algorithms and other AI-driven techniques to continuously track and analyze ITOps data.
Robotic Process Automation (RPA) can take over repetitive tasks such as data entry or cleansing , while AI algorithms can process vast datasets to identify patterns and generate insights. AI-driven tools also facilitate predictiveanalytics, enabling businesses to make proactive decisions.
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