RPA or RPA + AI – How They Work Together?

Remember our childhood dreams of having a smart world all around us where almost everything around us can work automatically? Well, that’s not a dream anymore as AI is everywhere today. The voice assistants like Alexa, and Siri, chatbots, and even social media websites and OTT streaming services are using AI. You can even turn on your kitchen light with just a voice command or ask your Alexa to control the AC even when you are not in your house. The learning curve of AI allows them to learn our interaction patterns and make things more personalized for us.

To thrive in this world, we need a perfect blend of RPA and AI to make them work together and increase efficiencies. This blend leaves no room for inefficiencies and makes our lives much easier. Corporates from all over the world are investing billions of dollars in AI just to increase their efficiency.

Why AI and RPA should be implemented together?

Complementary to RPA tools, AI works with it to expand automation into all sorts of areas to help us automate more complex tasks. We will be talking about the use of AI in a practical way for making our businesses more efficient and enhancing the experience of the users. This will free us up and help us to focus on tasks of higher value.

When RPA is discussed, it is more or less assumed that the robots are ruled based. But the combination of RPA and AI has allowed us to think ahead of rule-based bots. This amazing combination gives much more cognitive power and opens the door to possibilities. Many organizations are doing their front and back-office duties with AI. This includes healthcare diagnosis, clinical trials, fraud detection, claim processing, e-commerce websites, and several other process flows. The early adaptors of AI use it for having a competitive advantage over others. There isn't a zero-sum game with an AI advantage. Most of the early adopters of AI are still getting benefitted from its impeccable advantages.

How AI and RPA tools can be used together –

Figuring out the areas of your business process which is consuming a lot of time and is prone to errors with the digital footprints. This can be found in transactional logs of several systems and applications.

• Interpreting data according to directions given by humans.
• Reading, extracting, and transforming several types of documents.
• Reading and interpreting a wide range of screens or interfaces.
• Processing natural languages.

With AI, you can make your robots take decisions by adding cognitive power. This power can be obtained from large-sized cloud service companies, by creating your own AI module, or by taking the help of third-party solutions.

Where to use RPA or RPA+AI?

To begin with your robotic process automation development, you need to have a look at what type of data or information will be sent to the robot for processing. This is called input. This input data sometimes comes with a higher degree of organization which makes the data sets easily searchable. It can be called organized data. In several instances, the input data is not organized in an orderly fashion. There lies no structure or format for it can be named as unorganized data. The input may not be structured completely in some cases. This is a combination of unorganized and organized features and can be called semi-organized data. As an example, in an email, the organized parts are the addresses, the subject, and received date fields. But the email body that changes in every email is unorganized. In our email examples, the data lies in digital format and can be easily processed by computers. But in several cases, you may find a business process that still comes with non-digitized components in the form of manually written paper notes. This non-digitized data is non-standard and the digitized ones are standard data.

Now you are having all the necessary equipment for determining the robot type that you need with the help of the following three easy steps –

• Figure out if the robot will be dealing with semi-organized, organized, or unorganized types of input.
• Check if your input types are non-standard or standard. In other words, not digital or digital.
• The combination of the above two steps will help you to find out if you need to have RPA tools or both AI and RPA.

Conclusion

There is a huge debate that if RPA tools are enough for automating your projects or if you also need to have it combined with AI. But there is more to it and it’s always best to determine the best solution for you after a thorough analysis. You can definitely ask robotic process automation development companies for more help.