Use Cameras For Hyperautomation

In this article, we will discuss what hyper-automation is, how it differs from other automation, and why it should be preferred.
Ufuk Dag
2 minutes

What is hyper-automation?

Hyper-automation is defined as a disciplined and business-driven approach to easily identifying, examining, and automating as many processes as possible. It involves setting up and organizing multiple disciplines, tools, and technologies such as artificial intelligence (AI), machine learning (ML), robotic process automation (RPA), and business process management (BPM). In other words, hyper-automation is a combination of different automation technologies that reinforce and expands human capabilities.

Hyper-automation involves the appliance of advanced technologies such as AI and ML to automate processes that are proven to be more impactful than traditional automation processes. Even though no single tool is capable of replacing human force, the idea is to minimize human involvement in physical and digital tasks. The eventual goal is to eliminate human involvement from the entire decision-making process. Hyper-automation tries to achieve this goal by using multiple tools like AI, RPA, intelligent business management software, and other advanced tools. Hyper-automation results in creating a digital twin of the organization (DTO), which allows visualizing functions, processes, and key performance indicators to interact to drive value. Some of the key components of hyper-automation that can be applied to businesses with proper software are;

o Intelligent business process management

o Artificial intelligence

o Advanced analytics

Furthermore, the benefits of hyper-automation include;

o Automated processes,

o Advanced analytics, 

o Increased employee satisfaction and motivation

o An educated workforce

o Increased employee capacity

o Instant and accurate insights

o Greater compliance and reduced risk

o Greater productivity

o Increased team collaboration

How is it different from automation?

Automation is defined as the optimization of a simple task. It is most commonly used to perform repetitive tasks. An example of automation might be to create a program where certain input is entered into a system automatically at a particular time in a day.

On the other hand, hyper-automation adds another layer of robotic intelligence to provide smarter results or solutions. The intelligent layer consists of AI, natural language processing, optical character recognition, and ML. These technologies broaden the scope of automation processes. Hyper-automation includes automating all possible business processes, such as predictions and exceptions.

Why hyper-automation?

Hyper-automation offers new solutions to complex problems. Customers who are planning digital optimization can benefit from it. It is also a new source of investment and development for automation providers. AI and tech providers see hyper-automation as a new way to solve problems. Lastly, from the customer's point of view, it means less inconvenience and pain when dealing with enterprise processes and applications.

How does hyper-automation work?

The core enabling technology of hyper-automation is RPA enriched by AI and ML. A combination of RPA and AI technologies offers the power and flexibility to automate undocumented processes that rely on unstructured data inputs. Hyper-automation is not just software, but it encourages businesses to adopt tools that work together. The ability of computer systems or software to communicate with each other, in other words, interoperability, is more crucial than ever. Hyper-automation dynamically discovers business processes and creates bots to automate them.

To conclude, hyper-automation tools continue to grow. Businesses should rely on hyper-automation in order to stay up to date and ahead of the curve.

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