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This blog explains how AI-engineered tools can be used to reduce toil and improve system reliability, efficiency and scalability. AI can be used to detect anomalies, predict system failures, automate testing, diagnose issues, suggest solutions, predict system load, adjust resources, and isolate faults. Examples of AI-driven platforms that can provide predictive analytics and capacity planning are Dynatrace and Datadog.