Week 2 - BALT 4362 - RPA's & ChatGPT

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RPA's & ChatGPT

RPA Streamline

There are three core components of Robotic Process Automation, known as RPA. Software robots are programs that mimic human interaction with digital systems. RPA tools/platforms are tools for designing, developing, and managing robots. Lastly, process automation implements software robots for task automation. These have been used in banking, insurance, healthcare, retail, HR, and manufacturing industries. Within these, different types of bots can enact actions such as rule-based bots that automate well-defined, repetitive tasks. Conversational bots on the other hand use natural language processing, NPL, to simulate human conversations, and then intelligent process automation, IPA, combines rules and AI for advanced tasks like data analysis.

These advancements in RPA technology allow people to focus on higher-value activities in the workplace. A few popular platforms are Automation Anywhere and Blue Prism, which offer a mix of features and are scalable to fit needs. Overall, RPA can streamline workflows, reduce costs, and boost productivity. Those who receive certifications through Automation Anywhere or Blue Prism can gain a competitive edge in the industry.

Certifications can be found here:

https://pathfinder.automationanywhere.com/university/certification/advanced

https://university.blueprism.com/certification/associate-developer

Strengths and Limitations

RPA and ChatGPT both have their own strengths and weaknesses in office automation roles.

ChatGPT:

  • Strengths:
    • Human-like language understanding for conversational tasks.
    • Adaptable to various use cases with minimal training.
    • Context-aware for personalized responses.
  • Limitations:
    • May produce inaccurate or nonsensical answers.
    • Quality of responses depends on input phrasing.
    • Cannot provide real-time updates or recent information.
RPA:
  • Strengths:
    • High accuracy and precision for repetitive tasks.
    • Cost-effective and easy to integrate with existing systems.
  • Limitations:
    • Limited to rule-based processes.
    • Inflexible to process changes without reprogramming.
    • Requires maintenance and updates.

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