Home Automation Hyper Automation Vs Intelligent Automation: Future Of Work

Hyper Automation Vs Intelligent Automation: Future Of Work

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In the age of automation, it’s important to distinguish what constitutes a hyper automator vs an intelligent automator. Hyper automators are, as expected, specialists in their narrow job-role.

Examples include a drone pilot or a chatbot programmer. Intelligent automators are more versatile: they’re able to use their knowledge of multiple areas to automate labour in any one that requires it.

Intelligent automators can be “intelligent” in the sense that their method of automation doesn’t require them to master every task that a hyper automator would need to.

What Is Hyperautomation

Hyperautomation is an advanced form of automation. It is used to substitute tasks that are specific to a job-role so that their labour could be done more efficiently by machines. This type of automation is meant for the advanced workers in global firms, such as pilots, and the global supply chain.

According to MarketsandMarkets, the global market for intelligent process automation is anticipated to increase from USD 13.6 billion in 2022 to USD 25.9 billion by 2027, at a Compound Annual Growth Rate (CAGR) of 13.8% over the projected period.

Robotic process automation (RPA) is the application of technology that seeks to automate repetitive tasks usually performed by humans. This technology makes use of artificial intelligence (AI) and machine learning to carry out its tasks. Automation tools are used to help speed up processes and make them more efficient.

Automation technologies are revolutionizing business processes. Intelligent process automation and intelligent automation are making it possible to automate more and more business processes. Hyperautomation is the next step in this evolution, making it possible to automate even more complex business processes.

Benefits Of Hyperautomation

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1. Hyper automators are able to focus on the things that only they can do. This is especially beneficial when there are many tasks that require humans to work together to perform them.

2. Hyper automators can perform high-level functions without needing additional skills, training or intelligence.

3. Hyper automators have a high degree of leverage because they are one of the few people who can perform their job on a large-scale basis and bring value to a wide variety of organizations, especially those with strict functional boundaries between areas or departments like in government agencies.

4. According to a 2020 global study by McKinsey & Co. of business leaders from a diverse range of industries, 66% were testing solutions to automate at least one business process, up from 57% two years prior. Hyper automators can automate tasks that require large amounts of precision, monitoring and attention to detail.

5. Hyper automators are able to benefit from the large number of tools and platforms available for automation because they have the right expertise to use them effectively

Challenges Of Hyperautomation

1. Hyper automators rely on the people who do manual labour and can be disrupted by dynamic trends and shifts in the market.

2. Hyper automators only know how to automate tasks that are specific to their job-role, which is hard for an intelligent automation system to master.

3. In some cases, hyper automators can be too specialized and fail to transfer their knowledge of performing tasks that they could not automate well or at all. The large number of small tasks performed by hyper automators can also make them inefficient at their jobs, especially if they have no idea how to improve the way they perform these tasks.

4. In fact, 77% of businesses intend to increase automation in their security ecosystems in the ensuing years, according to a Cisco report. Hyper automators can waste a lot of time on useless technicalities and procedures, which can be a waste of their time.

5. Hyper automators can even go on strike or advocate for unionizing because they are concerned that they are being replaced by intelligent automations.

What Is Intelligent Automation

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Intelligent automation uses multiple domains to automate labour. The intelligence comes from knowing which tasks are relevant to each domain and taking advantage of the right tools to automate them. This form of automation is used by firms that need a large amount of labour, but don’t want to spend on hiring a large number of workers.

Intelligent automation also enables the organization to reduce costs on infrastructure like factories, offices, factories and warehouses and have an efficient supply chain system. In order to implement IPA solutions, there is a 25% trained workforce shortage in the US, 27% in Europe, and 31% in Asia, according to McKinsey.

Intelligent document processing (IDP) is the application of advanced technologies to automatically process digital documents. IDP can include process mining, which is the automated discovery, analysis and improvement of business processes. Business process automation (BPA) is the application of technology to automate business processes.

There is a growing trend of businesses using cognitive automation and an intelligent automation platform to streamline as many business processes as possible. This is because these tools are very effective at structured data interaction, which can save the company time and money.

Advantages Of Intelligent Automation

1. Intelligent automation uses tools to enhance and improve on the functions that humans would perform naturally. This means that they are able to increase the amount of work performed, reduce costs, and improve the speed and accuracy of work.

The tools used by intelligent automation can also be customized to change how they automate based on the job-role, rather than forcing a hyper automator to use them in a particular way.

2. Intelligent automation is better able to handle complex tasks with a large number of moving parts because it knows what it needs to automate and where to find additional resources for help when necessary.

3. Intelligent automation has more leverage than hyper automators because it is able to automate a great number of small tasks without needing many people to do them.

4. According to a poll by Bain, the industrial, healthcare, and life sciences sectors would all see an increase in automation of more than 50%. Intelligent automation can automatically go online and use resources like search engines, marketplaces, and social media to find new opportunities for automation.

5. Intelligent automation can automatically improve its own internal systems based on feedback from workers, customers and the market.

Disadvantages Of Intelligent Automation

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1. Intelligent automation needs a number of tools to be able to automate a variety of tasks. In order to get these tools and learn how to use them, intelligent automation systems need to have human workers who are skilled enough to help them. This requirement can limit the amount of tasks that they can automate in their area and may require additional costs.

2. Intelligent automation may not know how to automate certain functions that do not utilize technical skills or knowledge but are still critical for organizations. There is also the possibility that intelligent automation systems will only focus on improving their technical functions and ignore other important areas like customer service, product design and development and sales.

3. Intelligent automation is susceptible to trends, competition, and extreme circumstances because it is still subject to disruptive technologies.

4. Intelligent automation often doesn’t have the amount of time or expertise needed to learn how to work with other areas in the organization or use human labour for support when necessary.

5. Intelligent automation can force human workers into administrative jobs that are a waste of their talents if they are not trained on how to do them well.

Challenges Of Intelligent Automation

1. It’s hard for intelligent automation systems to gain intelligence because they only live in one domain and don’t know how to cross-pollinate with other domains in order to automate more things effectively

2. It’s hard for intelligent automation systems to learn how to automate certain functions and tasks in a way that is both effective and cost efficient or that is better suited for the right job-role.

3. Intelligent automation systems may be too expensive when they are used in areas where they replace humans because they need a large number of programmers, data analysts and other tech workers to create them.

4. Intelligent automation may only focus on improving their technical functions instead of spending time on developing more customer-facing processes like sales, product development and service.

5. In some cases, hyper automators can emerge who reject intelligent automation because they think it is an inferior form of machine intelligence that cannot improve their job-role effectively.

Difference Between Automation And Hyper Automation

1. Hyper automation is a narrow specialization while intelligent automation is more versatile.

2. Hyper automation requires an in-depth understanding of a specific skill or task while intelligent automation uses multiple domains to automate any related tasks.

3. Hyper automators are only able to automate in their area of specialty, for example, a drone pilot can only automate through flying drones. Intelligent automators are able to use and apply their knowledge of multiple tasks and areas to find opportunities for automation wherever it is needed.

4. Hyper automators are more specialized while intelligent automators are not.

5. Hyper automation uses tools to automate tasks while intelligent automation uses tools to enhance functions that humans would perform naturally.

Final Note

According to a survey, numerous businesses from various industries have been experimenting with IPA, with spectacular outcomes including the automation of 50–70% of tasks and cost savings of 20–35% on an annual run-rate basis.

There are a number of reasons that intelligent automation is better suited for certain types of work and job-roles than hyper automating.

Intelligent automation does not waste time with irrelevant tasks like hyper automators do, it improves the performance of its workers and stays relevant to the changing trends in its industry by automating existing tasks that need to be automated and creating new ones based on feedback from customers.

Intelligent automation plans for the future by making decisions about what jobs and work-roles to automate before they are created, which means there is no chance of them being disrupted by disruptive technologies or competitors.

Intelligent automation also enables firms to reduce costs on infrastructure like factories, offices, factories and warehouses and have an efficient supply chain system.

Last Updated on October 6, 2023 by Parina Parmar