Hyperautomation - Technologies
Read this chapter to learn the technologies used for implementing hyperautomation. We know that hyperautomation is an integrated concept of various intelligent technologies such as AI, ML, advanced analytics, robotic process automation, and many others. In this chapter, we will have a look at all these technologies in detail and will understand their functions and significance in hyperautomation.
Hyperautomation Technologies
Hyperautomation is not based on a single technology but it makes use of multiple technologies integrated for automating business processes and operations. The primary goal of combining these multiple technologies is to automate as many processes and workflows as possible from start to finish. Hence, the use of multiple technologies in hyperautomation makes it possible to automate processes end-to-end.
The key technologies of hyperautomation are explained in detail below with their basic concepts, functions, and advantages in hyperautomation.
Robotic Process Automation (RPA)
RPA (Robotic Process Automation) is an automation technology that provides software-powered robots to perform rule-based, repetitive tasks and operations. However, RPA can handle those tasks only that use structured data. Hence, it is used to mimic human interactions in business operations and processes to automatically complete low-value tasks like data entry, report generation, inventory management, etc.
In hyperautomation, RPA is used for automating ordinary tasks like data entry, system checks, report generation, etc. By automating low-value, repetitive tasks and freeing up human employees to focus on higher-value tasks, RPA offers the following key benefits −
- Reduced human errors
- Increased efficiency
- Free up human employees to strategic, high-value activities
- Speed up the processes and operations
Artificial Intelligence (AI)
Artificial Intelligence is an advanced technology that implements human-like intelligence and decision-making capabilities in machines.
In hyperautomation, AI is used to implement cognitive automation so that it can handle tasks and processes involving both structured and unstructured data as well as unpredictable exceptions. AI enables hyperautomation to make more informed decisions to efficiently complete tasks.
The integration of AI with hyperautomation results in the following advantages –
- Provides cognitive decision-making in automation
- Allows to handle and execute more complex tasks and processes
- Enhances efficiency in operations by reducing errors
Machine Learning (ML)
Machine Learning is a subset of artificial intelligence (AI) that allows digital systems to learn and improve from past activities without being programmed explicitly. For this purpose, it uses various advanced algorithms to analyze process data, identify patterns in them, and make predictions to perform tasks in a better way.
In hyperautomation, machine learning is mainly used to process and analyze structured and unstructured data to determine patterns and enhance the decision-making in process automation.
Machine learning offers the following key benefits in hyperautomation −
- Improves the accuracy of automation
- Allows to make more informed decisions in process automaton
- Further reduces human intervention in more complex tasks that require cognitive decision-making
Big Data
Big Data is a set of tools and technologies used to store, process, analyze, and manage a large amount of data. Big data technologies allow to determine patterns in data obtained from processes and make decisions or produce optimal solutions for automation.
In hyperautomation, big data technologies are used for analyzing large volumes of process data to identify patterns in them and develop data-driven, optimized automation strategies for business processes and workflows.
The following are some main advantages of big data in hyperautomation −
- Provides real-time analytics that helps in faster decision-making
- Makes the automation more personalized and adaptive to the processes and workflows
- Helps to understand hidden trends in process data
Collaborative Robots (Cobots)
Cobots are industrial robots designed to help human workers to complete tasks within a shared work environment. These robots are optimized to safely operate alongside humans.
In hyperautomation, cobots are employed for handling physical tasks, streamlining workflows, and enhancing the efficiency of operations in business organizations.
The key advantages that cobots offer in hyperautomation include −
- Provides a more efficient and safer work environment
- Provides an effective collaboration to complete tasks
- Increases productivity of human employees
- Minimizes operational costs
Chatbots
Chatbots are software robots that are designed to simulate human conversation with a human end-user. These tools are mainly optimized to engage in real-time conversations with end users through text or voice messages. Most of the modern chatbots utilize advanced technologies like artificial intelligence, machine learning, and natural language processing to provide conversational capabilities like a human.
Business organizations use chatbots in their hyperautomation ecosystem to process customer queries, understand the problems of customers, and provide automated responses or solutions in real-time. Therefore, chatbots automate and enhance customer support services and improve overall customer experiences.
The use of chatbots in hyperautomation results in the following benefits to business organizations −
- Makes it possible to provide 24/7 customer support
- Improves customer satisfaction and experiences
- Reduces operational costs, mainly involved in customer support services
- Provides accurate and consistent solutions based on customer queries
Conclusion
This chapter provided a detailed overview of various technologies making hyperautomation possible and highlights their significance and benefits in business organizations. All these technologies together make hyperautomation a cutting-edge solution for automating and streamlining all the processes and workflows in businesses that can be automated.