In many advanced systems, RPA, AI, and ML are combined to achieve "intelligent automation." For example:
• Document Processing: An RPA bot might handle document uploads and organization, while AI processes unstructured text, and ML models help classify the content.
• Customer Support: RPA can manage routine requests, while AI-powered NLP can handle complex inquiries, and ML continually improves response accuracy.
Together, these technologies enhance each other: RPA handles structured tasks, AI adds decision-making capabilities, and ML brings adaptability through continuous learning. This synergy is often called "intelligent process automation" or "hyperautomation," unlocking even greater business potential.
Click to know more:
https://www.ramamtech.com
