For businesses facing exponential growth, automation is the ideal solution for meeting increased demands. Fortunately, there are countless software tools available that can lead to the inevitable automation of entire business processes.
These tools incorporate state-of-the-art technologies such as Robotic Process Automation, Machine Learning, and Artificial Intelligence. Collectively, they lead to the Hyperautomation of businesses. Separately, they achieve specific automation goals.
So, what exactly is the difference between Robotic Process Automation vs. Machine Learning? And what about Artificial Intelligence vs. Machine Learning? These tools may all come together to achieve Hyperautomation, but what truly makes them unique? We have the answer to all of these questions and more. Read on to learn more about RPA vs. Machine Learning vs. AI.
What is Robotic Process Automation?
Ever wished there was a software that could handle all those repetitive tasks on your to-do list? Well, there is! Robotic process automation (RPA) is an automation technology that implements, and manages robots. These robots can complete routine tasks without needing human touch. Anyone in your business can use RPA software to deploy robots that will mimic human actions throughout a business process.
What is Machine Learning?
Machine Learning (ML) is all about data and algorithms. Instead of spending time inputting rules for Machine Learning, this technology uses real-time data to predict the next step in the process.
Using the data available, Machine Learning will create a model of the typical workflow pattern and begin to improve the algorithm based on common relationships and historical data. In a sense, Machine Learning understands how humans act and mimics that method.
What is Artificial Intelligence?
Artificial intelligence (AI) is a widely-known technological area. AI is a set of technologies used to help machines understand how humans think. Once these machines understand the human mindset, they are able to complete tasks in place of humans. This technology is widely used in automation software as a way to check routine tasks off a to-do list without needing to spend time in your day doing them yourself.
Now that we understand what exactly these tools are, we’ll take a look at the similarities and differences between Robotic Process Automation vs. machine learning vs. artificial intelligence.
RPA vs. Machine Learning vs. AI
Though these tools sound highly similar, there are key differences between RPA vs. Machine Learning vs. AI that make investing in all three worthwhile.
To start, let’s discuss the obvious: how they’re similar. All three of these software tools are used to mimic human action in order to complete routine tasks and speed up business processes.
Combining these tools together can assist a business in achieving intelligent process automation. This automation allows businesses to make progress toward a total digital transformation, in which they rely heavily on technology to complete tasks, finish projects, and keep customers happy.
Additionally, Machine Learning and AI are closely intertwined. In fact, Machine Learning is actually a subset of AI. Machine Learning uses AI’s process to understand the relationships between tasks and learn on its own how to mimic those tasks.
Though each of these tools is an essential part of automating repetitive tasks, they each serve their own function. The differences between RPA vs. Machine Learning vs. AI are:
- Rule-based vs. data-based. Both machine learning and AI are driven by data. RPA, on the other hand, requires rules input by humans to function correctly.
- Programming. Since RPA needs rules to function, it requires human programming to start completing tasks. AI and machine learning will use data and algorithms to understand how to function and, therefore, do not need much human interaction.
- Process improvement. If your RPA software is not functioning in a way that works for your team, you’ll need to manually change the rules and allow your software time to adjust. With AI and machine learning, the algorithms will automatically update as new data is discovered to better meet your business needs.
Each tool is able to complete different tasks using its own methods. That’s why it’s essential to integrate all three into your business if your goal is to achieve Hyperautomation.
Integrate Agile Hyperautomation with Comidor
The question is not whether you should choose between Robotic Process Automation vs. Machine Learning vs. Artificial Intelligence. Instead, it’s how quickly you can integrate these systems into your business and start automating tasks.
With Comidor’s array of Hyperautomation tools, you can have your routine tasks completed in a very short time! Comidor offers Business Process Management (BPM) software that, when combined with workflow automation and RPA, ML, and AI, can ensure that your business has all the necessary tools to achieve agile digital transformation.
Request a demo today to learn more about how Comidor can help you achieve the Hyperautomation your growing business needs to thrive!