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Robotic Process Automation (RPA) utilizes software robots to automate repetitive tasks, enhancing efficiency and accuracy across various industries. Key features include rule-based automation, non-invasive integration, and scalability, while challenges involve implementation costs and employee resistance. Future trends suggest a move towards AI integration, hyperautomation, and empowering non-technical users to create bots.

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0% found this document useful (0 votes)
26 views9 pages

Presentation 1

Robotic Process Automation (RPA) utilizes software robots to automate repetitive tasks, enhancing efficiency and accuracy across various industries. Key features include rule-based automation, non-invasive integration, and scalability, while challenges involve implementation costs and employee resistance. Future trends suggest a move towards AI integration, hyperautomation, and empowering non-technical users to create bots.

Uploaded by

lst033050
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© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Ministry of Higher and

Scientific Education
Erbil Polytechnic University
Khabat Technical Institute
Dept. of Information
Technology/Morning
Stage 1
Automation in IT: Robotic Process Automation
Prepared by:- (RPA)
Chenar nuraden
Shelan azad
Begard hemdad Supervised by:-
Aven salm Mr.karim ibrahem karim

Amr shkur
Robotic Process Automation (RPA) is a
technology that uses software robots
(bots) to automate repetitive, rule-
based tasks traditionally performed by
humans.
Key Features of RPA
1. Rule-based Automation: Executes tasks based on
predefined rules and workflows.
2. Non-invasive Integration: Operates across
existing IT systems without the need for extensive
modifications.
3. Scalability: Easily scaled up or down based on
organizational needs.
4. User Interface Interaction: Works directly with
applications, just like a human user.
5. Analytics: Provides insights into process
performance and optimization.
Impact of RPA on Industries

1. Improved Efficiency
2. Cost Savings
3. Enhanced Accuracy
4. Workforce Productivity
Challenges of RPA
1. Implementation Costs: Initial deployment can be
expensive, especially for small businesses.
2. Complex Processes: Not all processes
are suitable for RPA; complex,
unstructured tasks may require
additional AI capabilities.

3. Employee Resistance: Automation may lead to fears


job loss, necessitating effective change management.

4. Maintenance and Upgrades: Bots require regular


updates to adapt to changes in underlying systems.
Future Trends in RPA

1. Integration with AI and Machine 3. Cloud-Based RPA: Facilitating


Learning: Enabling bots to handle easier deployment and scalability.
unstructured data and make decisions.

2. Hyperautomation: 4. Focus on Citizen Developers:


Combining RPA with other Empowering non-technical users
automation tools to to create and deploy bots using
streamline end-to-end low-code platforms.
processes.
Industry-Specific
Applications 3. Manufacturing

1. Banking and 4. Retail and E-


Financial Services commerce

2. Healthcare 5. Telecommunication
THANK YOU
Refrens
• Introduction to Robotics | Mechanical Engin
eering | MIT
OpenCourseWare
• Robotics | Introduction - GeeksforGeeks

• Robotics: What Are Robots? | Built In

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