Without knowing the meaning of RPA and AI, it’s hard to explain differences between them. Let’s start with the definitions:
Robotic Process Automation (RPA) may be a software robot which will mimic human actions. RPA tools are wont to design and deploy these software robots. These tools utilize pre-defined activities and business rules to autonomously execute a mixture of tasks, transactions, and processes across software systems. RPA can deliver the specified result without human interaction.
On the opposite side, AI (AI) refers to machines which will simulate human intelligence. It combines cognitive automation with machine learning, hypothesis generation, language processing, and algorithm mutation to make insights and produce analytics at an equivalent capability level as a persons, or maybe higher.
Now, let’s understand the differences between these two:

Robotic Process Automation	Artificial Intelligence
RPA is a software robot that can mimic human actions.	AI is that the simulation of human intelligence in machines programmed to think like humans and mimic their actions.
RPA robots automate the tasks as per defined rules.	AI is predicted on ‘thinking’ and ‘learning’.
RPA is a rule-based technology that has no intelligence. It just automates repetitive tasks.	AI includes technologies like ML (Machine Learning) and NLP (Natural Language Processing), which help to try to to quite just creating rule-based engines to automate repetitive tasks.
RPA can make a enormous impact on large businesses as they can process vast amount of knowledge accurately without the need for manual inputting.	AI helps in deciding. It enables the automation of deciding making without human involvement.
The main aim of RPA is to automate the repetitive and mundane business processes.	AI replaces human labour. In many companies, physical robots or machines are working in situ of human workers.
RPA is straightforward to implement. Sometimes, an RPA are often complex with large networks of software robots exchanging information between one another, but it still are going to be an easier proposition than AI.	AI needs a tons of labour to line up and run.
RPA is claimed to be a process-centric technology because RPA is all about automating repetitive, and rule-based business processes. For instance, RPA generates bills or process invoices, and so on.	AI is understood as data-driven technology, which is all about providing good quality data. for instance, AI helps in reading the bills and invoices and extracting their data to convert it into structured and intelligible information.

In conclusion, RPA and AI are both valuable technologies which will be used for the organization’s digital transformation. However, the selection of implementing either RPA or AI (or both) depends on the wants of the organization.

RPA Vs. Test Automation

The terms Test Automation and Robotic Process Automation look similar as they both contain ‘Automation’ and offer an equivalent feature of reducing manual labour. But these two are different. Let’s start with the definitions:
Robotic Process Automation (RPA) may be a software robot which will mimic human actions. RPA tools are wont to design and deploy these software robots. These tools utilize pre-defined activities and business rules to autonomously execute a mixture of tasks, transactions, and processes across software systems. RPA can deliver the specified result without human interaction.
Test Automation may be a method in software testing that creates use of specialised tools to regulate the execution of tests. It further compares the particular results with the anticipated ones. Test Automation is performed automatically with little or no interaction from the test engineer. it’s a crucial stage of a development process that’s want to add additional testing which will be difficult to perform manually.
Now, let’s understand the differences between these two:

Test Automation	Robotic Process Automation
Test automation automates repetitive test cases.	RPA automates repetitive business processes.
Test automation can be applied only to the merchandise and its features.	RPA can be applied to the merchandise as well as other business processes.
Programming or coding knowledge is required to perform Test automation.	RPA provides a haul and drop feature to automate the tasks. Therefore, programming knowledge is not compulsory.
Test automation is implemented across different environments (i.e., QA, Production, Performance, UAT).	RPA only needs a one production environment.
Test automation can be used only by a particular set of users (i.e., Developer and tester).	All the individuals across the team can use RPA.
Test automation often used with limited software environments. For example, Selenium only works with web applications.	RPA are often used with good sort of software environments.
With the assistance of Test automation, only test cases can be automated.	RPA helps to automate tasks like data entry, loan processing, form-filling, etc.
Test automation helps in reducing the execution time.	RPA helps to minimise human workers.
Test automation works as a virtual assistant.	RPA works as a virtual workforce.
Test automation tools can’t be used for Robotic Process Automation.	RPA tools often considered as testing tools at a basic level. However, these tools are not as good as test automation tools.
Test automation tools accompany a constraint that they require software to run.	RPA can be applied to anything which is during a structured form. Hence, any testing tool exists within the market cannot be used as a RPA tool.
Test automation tools are intended to validate whether an IT application is performing as per the given specification.	RPA tools are expected to run on the business production environment to realize business objectives.
Test automation can execute only what’s coded in it.	Besides, many RPA tools have an AI engine that can process information sort of a human.
Some popular test automation tools are “Selenium, HP – UFT/QTP, IBM – RFT, Appium, Jira, etc.”.	Some popular RPA tools are: “Blueprism, Automation Anywhere, UiPath and NICE, etc.”.

RPA Vs. Traditional Automation

Without knowing the definitions of Robotic Process Automation and Traditional Automation, it’s hard to know the differences between them. Let’s start with the definitions:
Robotic Process Automation (RPA) may be a software that’s wont to automate a high volume of repetitive and rule-based tasks. RPA tools allow users to style and deploy software robots which will mimic human actions. These tools also utilize pre-defined activities and business rules to autonomously execute a mixture of tasks, transactions, and processes across software systems. RPA can deliver the specified result without human interaction.
On the opposite side, Traditional Automation is that the automation of any repeated tasks. It combines application integration at a database or infrastructure level. It requires minimal human intervention.
Let’s understand the differences between these two:

Robotic Process Automation	Traditional Automation
It doesn’t require any modification within the existing systems or infrastructure.	It requires certain customizations within the existing IT infrastructure.
It can automate the repetitive, rule-based tasks. It mimics human actions to finish the tasks.	It doesn’t include the power to mimic human actions. It only executes the pre-defined programmatic instructions.
A user can start using RPA without knowing any programming. RPA allows automation with easy to use flowchart diagram. Therefore, users don’t require to recollect language syntax and scripting. They only got to specialise in the functionalities given under automation.	Users are required to possess the programming skills to use Traditional Automation for automating functionalities. programing language requirement depends upon the sort of automation tool. Users got to remember language syntax and scripting.
RPA provides the straightforward and quick implementation. It requires less amount of your time as RPA software is process-driven.	Traditional Automation can take several months for implementation. Test designing and feasibility studies take a extended time.
RPA allows users to assign work to hundreds or thousands of virtual machines which will perform the allotted tasks without the need of physical machines.	On the opposite hand, Traditional Automation uses different programming techniques to realize parallel execution or scalability. Physical machines are required to perform parallel execution. Those physical machines should have the potential of providing good processing speed.
RPA are often configured to satisfy the wants of a specific user. It are often combined with several applications (e.g., calendar, e-mail, ERP, CRM, etc.) to synchronize information and make automated replies.	When it involves customization, Traditional Automation is taken into account as a critical and sophisticated technology compared to the RPA. the mixing of various systems with Traditional Automation may be a challenge thanks to the restrictions of APIs.
RPA are often a touch costly within the initial phase. But it saves tons of your time , money, and energy within the end of the day .	Traditional Automation is cheaper within the initial phase. However, it costs tons more within the end of the day .
RPA may be a more efficient option since it can make improvements instantly.	Traditional Automation requires longer , effort, and a substantial workforce.
With RPA, users can easily update any business flow thanks to its simplicity.	On the opposite hand, Traditional Automation may force users to vary various scripts. Hence, maintenance and updation of this technology are often tough.

So, this brings us to the end of blog. This Tecklearn ‘Comparison of RPA and AI’ blog helps you with commonly asked questions if you are looking out for a job in Robotic Process Automation. If you wish to learn RPA and build a career in Robotic process Automation domain, then check out our interactive, Robotic Process Automation using UiPath Training, that comes with 24*7 support to guide you throughout your learning period. Please find the link for course details:

https://www.tecklearn.com/course/robotic-process-automation-using-uipath/

Robotic Process Automation using UiPath Training

About the Course

Tecklearn’s Robotic Process Automation training using UiPath will prepare you for UiPath’s RPA Developer Advanced Certification Exam so that you can drive RPA initiatives in your organization. RPA training and certification is a comprehensive course for mastering Robotic Process Automation, different tools in RPA, the life cycle of RPA, deploying the UiPath tool, UiPath Studio, invoking a UiPath workflow, Citrix automation, automating the virtual environment and more through hands-on projects and case studies.

Why Should you take Robotic Process Automation using UiPath Training?

• The average salary of RPA Technical Automation Architect is $116,872 per annum – Indeed.com.
• Robotic Process Automation market will reach $2.9 billion by 2021 – Forrester Research
• Robotic Process Automation is being heralded as one of the booming industries in today’s digitally-driven economy. Every industry including banking, finance and information technology can immensely benefit from the RPA industry

What you will Learn in this Course?

Introduction to Robotic Process Automation
• Why RPA?
• Industry Implementation of RPA
• RPA Growth Trends
• Different RPA Tools
• Types of Bots
• Why UiPath?
• UiPath Installation
• Getting Started with UiPath
• Project and Project Types
• UiPath Dashboard
• UiPath Overview
Important components of UiPath
• Introduction to UiPath Studio, UiPath Robot and UiPath Orchestrator
• Working with variables
• Managing control flow
• Excel Automation
• Gmail automation with UiPath
More about RPA
• Ui Path Studio Components
• Passing Value from one task to another in Ui Path
Programming, Debugging and Exception Handling
• Programming Activities in UiPath
• Debugging errors in a UiPath Project
• Different ways of Error Handling in UiPath
• Browse through the log files related to UiPath Project
Connect Orchestrator with UiPath
• UiPath Orchestrator Overview
• Orchestrator activities
RPA Tools like REFramework
• Introduction to REFramework
• Purpose of REFramework
• Using State Machine Layout
• State Machine States
• Workflows Involved
• Exception Handling and Logging
Programming Activities Using Data Table
• Programming activities using Data Table
• Learn Data Table Structure, Comprehend Searching Method and Data Table Activities
• Create an environment and associate the workflow
• Creation of Collection
• Email Automation
• Understanding Sequence and Flowchart
• Automate Sending and Reading of Email Message
Data Scrapping
• Importance of Data scraping with UiPath
• Data scraping aspects: Taking screenshot, Activating, getting text, highlighting and selecting item, loading image and more
Desktop Automation
RPA Project
• Excel Operations Automation using Ui Path
UiPath Orchestrator
• Orchestrator Overview
• Orchestrator Account Creation
• Connecting a Robot
• Create an Environment and Associate the Robot
• Publish a Package
• Create a Process from the Package
• Running a Robot and Examine Logs
• Scheduling and Running of Unattended Robot

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