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Historically, RPA was used to automate repetitive, rules-based tasks like data entry and invoice processing. However, recent shifts in the industry highlight a new era:

Robotic Process Automation (RPA) is currently undergoing a massive transformation, shifting from simple "task mimics" to intelligent digital workers powered by AI. The Evolution of RPA: From Bots to Agents ШЄЩ†ШІЩЉЩ„ rpa

: Some experts suggest traditional RPA is "dead" because standalone bots can be fragile. Instead, it is being absorbed into Intelligent Automation (IA) platforms that combine RPA's execution with AI's decision-making. Instead, it is being absorbed into Intelligent Automation

: In 2026, leading platforms like UiPath, Microsoft Power Automate, and Automation Anywhere are increasingly competing with emerging "agentic" platforms that prioritize autonomous problem-solving over fixed scripts. Key Benefits and Use Cases (2026 Trends) : By using Artificial Neural Networks and Natural

: Modern factories use RPA to simplify daily operations, reducing manual errors in rapidly changing markets.

: By using Artificial Neural Networks and Natural Language Processing, bots can now handle unstructured data, recognize text, and even forecast scenarios.