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What is Hyperautomation?

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Hyperautomation, also known as hyper-automation, ultra-automation or full automation, is the next stage of development of automation technologies. It represents a mix of artificial intelligence (AI), machine learning and cognitive computing technologies that allow machines to not only see but also understand their environment and make decisions autonomously. It uses machine vision, sensors and cognitive computing technologies to perform functions that were previously performed by humans.

"Hyperautomation can be defined as the process in which systems are able to handle more complex operations with the help of high-end computation power," according to Sai Prasad Poddar, Vice President at Godrej Industries and a member of the Indian National Academy of Engineering.

"Hyperautomation systems can be deployed to perform those tasks for which human judgment is often required, such as those in critical or remote areas."

What are some examples of Hyperautomation?

AI has reached a point where it can interpret data better than humans, eliminating the need for humans to perform some functions. One example is autonomous vehicles, which use a combination of sensors and AI technologies to control speed, direction and braking without human input. In healthcare, AI-enabled chatbots can respond instantly with almost no lag time to provide answers or specific information based on conversations conducted with patients over messaging services such as Facebook Messenger.

"Hyperautomation can be used to monitor complex operations, detect abnormalities and take corrective action before the situation escalates into something bigger, which would require human intervention," Poddar said.

How is hyperautomation different from automation?

Automated systems are currently being used across industries, performing functions such as monitoring, data transferring and decision-making based on pre-defined rules. However, they are not capable of adapting to the changing environment because the system cannot reason or learn itself to adapt to change. Hyperautomation goes beyond automation by using machine learning to enable systems to analyze vast amounts of data in real time, detect patterns and make decisions accordingly.

"The prime difference between automation and hyperautomation is that the latter uses reasoning based on facts to arrive at a conclusion," Poddar said. "An automated system can only maintain its level of performance if all external conditions remain unchanged, whereas a hyperautomated system can adapt itself to external changes."

Which industries can benefit from hyperautomation?

Hyperautomation systems can be used across different industries, including the financial industry, healthcare, transportation and utilities. They can help reduce costs by reducing human involvement in manual tasks, mitigate risk by monitoring complex operations for risks of failure or defects and enable businesses to launch new products faster by providing real-time data analysis.

"Hyperautomation can be deployed to manage complex processes that involve multiple variables and require decisions to be made in real time," says Sanjeev Jha, Director at Oracle India. "It facilitates the creation of insights from large amounts of data generated by advanced technologies such as IoT sensors."

Where does hyperautomation stand currently?

Hyperautomation is still at an early stage, so most industries rely on automation to some extent. However, hyperautomation is gaining steam as AI technologies progress and become more accessible to businesses. "Hyperautomation has immense potential to revolutionize the world of business," says Poddar. "It will boost productivity significantly, lead to better decision-making and bring in an era of unprecedented growth."

For many businesses, hyperautomation is still a relatively new concept. Industries are gradually moving toward hyperautomation, but the main challenge is finding affordable solutions that are scalable across industries. Enterprises must also build awareness about automation technologies among employees so they can fully understand the benefits of these technologies and start working toward achieving full hyperautomation.

"There is a growing demand for hyperautomation solutions in both small and medium enterprises, as well as large organizations," says Jha. "At Oracle, we are working with our customers to help them adopt automation technologies by providing comprehensive services that cover the entire spectrum of requirements."

What are the challenges involved?

Hyperautomation is not without its limitations. According to experts, the high costs of hyperautomation solutions have prevented many businesses from making the transition. "The lack of awareness among decision-makers about automation technologies is another barrier that prevents companies from moving toward hyperautomation," says Jha.

Currently, companies are also struggling with the challenge of finding the perfect balance between human and machine decision-making. In most cases, the success of automation or hyperautomation projects depends on organizations being able to adopt a collaborative model rather than a purely automated or manual model. "Both humans and machines have their own unique strengths," says Jha. "By having them work together, they can provide customers with an unparalleled experience."

What is the future of Hyperautomation?

The potential for hyperautomation is huge. Experts predict that, in just a few years, we could see major changes in how businesses operate and people work thanks to hyperautomation technologies. "Hyperautomation will eventually enter every aspect of human life," says Poddar. "AI will augment human intelligence by providing advanced tools that free us from mundane chores and allow us to pursue higher goals."

As AI technologies become more advanced and accessible, enterprises are starting to recognize their potential benefits. Therefore, they need affordable solutions that can help them make the transition without incurring high costs or disrupting business processes.

"I believe it's not a matter of 'if' but 'when' hyperautomation becomes the new normal," says Poddar. "Machines are not taking over human jobs, they are simply helping humans become better at what they do."

The main challenge is finding solutions that are scalable across industries. Enterprises must also build awareness about automation technologies among employees so they can fully understand the benefits of these technologies and start working toward achieving full hyperautomation.

Hyperautomation promises to revolutionize business by boosting productivity significantly, leading to better decision-making and bringing in an era of unprecedented growth. The future of hyperautomation is bright. As AI technologies become more advanced and accessible, enterprises are starting to recognize their potential benefits. Therefore, they need affordable solutions that can help them make the transition without incurring high costs or disrupting business processes. Eventually, we could see major changes in how businesses operate and people work thanks to hyperautomation technologies.

The lack of awareness among decision-makers about automation technologies is another barrier that prevents companies from moving toward hyperautomation. Currently, companies are also struggling with the challenge of finding the perfect balance between human and machine decision-making as well as finding optimal ways to automate processes across departments and locations. The success of automation or hyperautomation projects depends on organizations being able to adopt a collaborative model rather than a purely automated or manual model. "Both humans and machines have their own unique strengths," says Jha. "By having them work together, they can provide customers with an unparalleled experience."

Enterprises must also build awareness about automation technologies among employees so they can fully understand the benefits of these technologies and start working toward achieving full hyperautomation. Eventually, we could see major changes in how businesses operate and people work thanks to hyperautomation technologies. The future of hyperautomation is bright.

The success of automation or hyperautomation projects depends on organizations being able to adopt a collaborative model rather than a purely automated or manual model. "Both humans and machines have their own unique strengths," says Jha. "By having them work together, they can provide customers with an unparalleled experience." Hyperautomation holds the promiseto revolutionize businesses by optimizing processes and significantly boosting productivity.


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