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The Anatomy of an Intelligent Automation System

Explore the core components of Intelligent Automation u2014 AI engine, RPA bots, ML models, and human oversight u2014 driving smarter, faster business operations.

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The Anatomy of an Intelligent Automation System

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  1. INTELLIGENT AUTOMATION Understanding the technology stack components AI Engine Basics The AI engine processes data, driving intelligence in automation systems through advanced algorithms. RPA Bots Functionality Robotic Process Automation bots execute repetitive tasks, improving efficiency and accuracy across processes. ML Model Insights Machine learning models learn patterns, improving decision- making capabilities over time through data analysis. Human Oversight Role Human oversight ensures quality control in automation systems, providing necessary guidance and intervention when needed. Data Input Sources Diverse data inputs feed the automation system, providing essential information for accurate processing and analysis. References ? info@clever247.ai ? www.clever247.ai

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