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Mar 11, 2021
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Is Hyperautomation The Key to Business Agility?

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Is Hyperautomation The Key to Business Agility?

A study commissioned by UiPath found that nearly 50% of world businesses want the pandemic to result directly in the adoption of robotic process automation (RPA). However, RPA is only one piece of the automation puzzle.


"Hyperautomation" is one of the technology buzzwords cited by analysts. It is also referred to as "digital process automation" and "intelligent process automation."


We can see the impact of automation across various industries. The problem is that companies are struggling to implement blockchain technology, as new and old systems are fighting each other.

Coronavirus has expedited the requirement for reducing human labor. But the objective of hyperautomation isn't to completely replace humans. It is to free our minds for more creative, strategic work. The view is that by combining the most effective and innovative automation with human ingenuity, businesses will be able to operate at a higher level and provide a better experience for customers.

Technological development facilitates automation. Many companies are eager to adopt automation for their operating system as Covid-19 has changed how we think of the future of business agility and efficiency.


Learning about hyperautomation

To increase efficiency and to reduce cost, hyperautomation describes an automation process at the executive level to automate the whole operation and minimize human resources input. This can be done using cutting-edge technology such as AI, Artificial Intelligence, robotics, and machine learning. However, intelligent business process management (IBPM) is also required (IBPM).


"The concept is widely used to describe how digital technology brings machines out of the data-center and into the hands of employees," according to Lex Berens from Gartner. The need to rationalize an incoherent hotchpotch of new and old systems and processes for most businesses is driven by the market not being efficient, agile, or synchronized. This is a significant issue for companies in that it is highly complex and requires high maintenance. As industries must embrace change, companies that practice agility can transform their markets.

Unleashing hyperautomation

It depends on the current state of companies' IT and business processes. Hyper-automation isn't a singular subject. It is an amalgamation of various technologies that functions towards complete automation. Here are some indicators.


RPA: Robotic Process Automation

If harnessed correctly, Robotics will improve the workforce. Like in mass-produced goods, a conveyor belt quality control is also necessary for total process efficiency. RPA is the best fit when the requirements are clear and unambiguous, and the rules should be clear and concise. These computers aren't capable of learning at all. For this to work, it is only suitable for highly specialized and limited repetitive tasks. To benefit from RPA systems positively, one should consider their security risks.


AI and Machine Learning

AI and machine learning drive Hyperautomation, but they are typically resource-heavy. Therefore, a practical and workable plan is necessary. AI is the next step from RPA in which computers can simulate human intelligence, which frees up a much deeper automation level than RPA alone can.

Although machine learning is based on the idea that machines can learn and adapt through experience, AI refers to a broader concept where machines can perform tasks "smartly." Artificial intelligence uses machine learning, deep learning, and other techniques to solve real problems. This occurs with AI because of learning capabilities that develop over time. Artificial intelligence is most commonly used in intelligent marketing algorithms, pushing products and promotions towards segmented customer groups and virtual assistants like Alexa and Siri.

AI can help support a company to improve its processes continually. Machine learning can have a significant impact on businesses because it can unlock new insights.

IBPM: Intelligent business process management

Using the Business Process Management and Artificial Intelligence approach, the business processes can be improved a lot. Hyperautomation is a significant theme of this text. IBPM refers to a role that equips software engineers to handle the switch to a robotics operation. IBPM is a strategic tool that enables processes and strategy for automation and connectivity and the environment for tracking and analyzing the effectiveness and success.


The IBPM system can join and integrate into organizations all subsystems to tackle traditional executive administrative management. These technologies enable greater collaboration, intelligence, and support for the organization's specific business processes and decisions. Without homogeneity, companies would have a tough time adopting new automation technologies because they would require companies to have frequent retraining of workers.


Benefiting from hyperautomation

Business agility achieved through AI-driven decision-making is a fundamental goal of hyperautomation, but there are many benefits. Such as:


Adaptation: With Hyperautomation, organizations can mechanize the entire workflow end-to-end with much greater ease. It can make all the difference to reaching the level of success. RPA can increase the capacity of organizations to change and improve their processes accordingly.

Analytics: We often speak of "real-time" in terms of technology. Real-time is still problematic at present. Hyperautomation with its components working together should be the future of robotics. This means that businesses can identify issues and problems quickly. Thus, they can make better decisions and create better experiences for their customers.

Improvement: Deep automation will make intelligent machines exponentially more valuable to companies. Automating these tasks will also free up workers to take on much more critical roles in their organization.


Value: Optimization can be a game-changer for an organizations' revenues. Besides, powerful data analytics can allow companies to allocate their resources more efficiently to add the most business value.