RPA & AI: The major differences and how they can be used together
×
RPA & AI: The major differences and how they can be used together

RPA & AI: The major differences and how they can be used together

Automation is a new trend adopted by most of the current industries. Most of the sectors such as Healthcare, Education, Government, Agriculture are serious about implementing the latest technologies which bring them profits.

Right from self-driving cars to social media posts, automation has become a mandatory thing. A report states, RPA software revenue is expected to grow from 63.1% from 2018 to $846 million. Even today, RPA is invading most industries to make their process hassle-free.

RPA is often termed to work the same as Artificial intelligence, Deep Learning, Machine Learning, and Natural language processing. However, the thing is they have differences in their working process along with certain goals and interfaces. In this blog, we have discussed the way how they get differentiated with their working phase.

The major difference between RPA and AI:

Artificial intelligence is about the computer’s ability to interpret human mentality right from recognizing images, solving problems, or debates. If you look at Facebook’s AI research, you can have a clear perception of how it works.

Social media giants are responsible for feeding the data with different images and machine offers the exact results using AI algorithms. For instance, if a photo of a dog is shown to the machine, the system recognizes it as both a dog and a breed.

RPA is a technology that makes use of a specific set of rules and algorithms which is implemented to automate tasks. While Artificial Intelligence focuses completely on human-driven tasks, RPA is a software that reduces human efforts.

Most common examples of RPA include transferring data from one system to another, payroll processing, forms processing, etc. Though most of them say AI is ahead of RPA, blending these two technologies can provide the capability of taking things to the next level.

If you are looking for scanning your documents in a particular format, RPA can help you with the job. If you utilize AI for this, it can offer you improper format or unsuitable documents. Hence, RPA can make the job easier. Most of the IT Consulting Companies are working on them!

Most businesses will make use of human efforts for handling repetitive tasks. These RPA robots are assigned to perform the tasks in a short span of time without any errors. Instead of making people redundant, these software robots are here to act as virtual assistants to process competitive tasks easier.

Read Also – The Future of RPA: 2021 Trends and Future Predictions

An organization can benefits of RPA from the following:

  • Accuracy: eliminates human errors as well as the cost.
  • Compliance: Creating audit trails and following regulatory rules perfectly.
  • Speed: Completing tasks 4-5 times faster and enhancing efficiency.
  • Reliability: RPA software bots are available 24*7 without any delays.
  • Eliminates human efforts: Free up employees from repetitive and time-consuming tasks thereby focusing on productivity. 

How will they operate together?

End-to-end automation is the key to provide self-service options that customers require. For example, if a customer is looking to open a bank account online, the combination of AI and RPA can result in increased customer satisfaction and enhanced efficiency for banks.

Here, the Chatbot is responsible for verifying the type of account which the customer wants to open and provides them with the relevant form. Once the form is submitted, another robot takes care of the process to open a new account. It does the back-end task such as KYC processes on Google and other networks.

Next, an OCR robot is available to analyze the scanned documents which the customer has uploaded. If any discrepancies are found, it displays it. It finds Johnson Bell and Johnson Craig Bell are the same people with their similar Social Security Number.

The robot still continues to validate documents using text analytics and NLP to figure out and categorize data points from within the free text. Once all the data is in order, the robot executes the set of tasks required to set up the new business account, interfacing with the bank’s various back-end systems.

If customer data meets the requirements, the robot automatically sends a welcome email with details such as account information, and credentials to access them. Finally, the robot reports back to the robotic control room with the mission accomplished.

Read Also – Role Of RPA In Enabling Digital Transformation

What to consider for the future?

The rate at which these couple of technologies are evolving makes it looks brighter in upcoming years. Most of the giant enterprises such as IBM, Google, Microsoft are adopting them to improve their business process.

The idea of automation is increasingly becoming popular among organizations across the globe. They are witnessing the capabilities of these technologies and adopting them. Since they have numerous foredeals by creating the input, loading the process, and coming up with the relevant output. Looking at the future, both these technologies are here to bring positive outcomes for them.

Read Also – Impact Of RPA & AI In Transforming Agricultural Sectors At Present

Conclusion:

If you are looking to double your profits within a short span of time, adopting these technologies can be beneficial. We people at Way2Smile, one of the Digital Transformation Companies are well aware of handling them and can help you with the implementation process.

Get in touch with us with your business requirements and we’ll convert your requirements into a reliable and highly scalable product solution.

Leave a Reply

Your email address will not be published. Required fields are marked *

Subscribe to our Blog

Get latest articles straight to your inbox

Subscribe Now
X