In the real working world, more than 60% of data is either semi-structured or unstructured. Thus, companies need to find a solution of different AI features with RPA that helps organizations extend automation to more processes.
What is Intelligent Automation?
Intelligent Automation (AI) -sometimes also called cognitive automation is a combination of robotic process automation (RPA) and artificial intelligence (AI) technologies that together provide fast end-to-end business process automation and accelerate digital transformation.
To enhance the horizons of business process automation by an order of magnitude, intelligent automation combines the execution of RPA tasks with the capabilities of machine learning and analytics, automatic process detection and process analytics, as well as cognitive technologies such as computer vision, natural language processing, and fuzzy logic.
The 3 Components of Intelligent Automation
Intelligent automation consists of three cognitive technologies. Integrate these components to create a business and technology transformation solution.
Artificial Intelligence & Machine Learning
The most important component of intelligent automation is artificial intelligence or AI. By using machine learning and sophisticated algorithms to analyze structured and unstructured data, companies can build a knowledge base and make predictions based on that data.
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Business Process Management (BPM)
The second component of intelligent automation is business process management (BPM), also known as business process automation. Business Process Management automates workflows to provide more flexibility and consistency in business processes. Business process management is used in most industries to optimize processes and improve communication and communication.
Robotic Process Automation (RPA)
Robotic process automation uses software robots or bots to perform background tasks, such as obtaining data or filling out forms. These robots complement artificial intelligence, and RPA can use artificial intelligence analysis to drive more complex tasks and use cases.
What Are The Benefits of Intelligent Automation?
The rise in popularity of RPA using artificial intelligence technologies expands the possibilities for automating business processes and includes almost any scenario: Cognitive robots can reason and make decisions, learning from the workplace, to become a valuable asset in your digital workforce connected with people.
Exception Handling
This is one of the key areas requiring human intervention. In cases where automation cannot perform the desired actions correctly, a person must enter the workflow in order to complete the task that automation could not, or to fix the reasons that prevented automation from completing the task correctly.
Making Decisions
When designing a workflow, it often happens that all the tasks that need to be done in a workflow can be completely automated. However, addressing the workflow based on the required parameters cannot be easily determined and requires non-standard evaluation. In this scenario, people must be involved in manual decision-making.
Here’s an example of how Machine Learning can make decisions in the loan approval process:
Training Automated Tasks (AI & ML)
Another important function that people must perform in an intelligent automation environment is the training of automation components. Through an intuitive interface, people make decisions (for exception scenarios) about data and are directly involved in training, optimizing, and testing data for a machine learning algorithm.
Ultimately, intelligent automation is the perfect combination of art and science, man and machine. The next time you hear someone use the term in a conference or meeting, ask yourself if what they describe includes all of the strategies and technologies outlined above. Because that really is the definition of intelligent automation.
Attribution:Computer photo created by pressfoto – www.freepik.com
