Use Cameras For Hyperautomation
What is hyper-automation?
Hyper-automation is defined as a disciplined and business-driven approach to easily identify, examine, and automate 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 different automation technologies that reinforces and expands human capabilities.
Hyper-automation involves appliance of advanced technologies such as AI and ML to automate processes that is 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 to visualize functions, processes, and key performance indicators interact to drive value. Some of 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 for automation might be is to create a program where certain input is entered to 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 is consisted 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 the exceptions.
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 point of view, it means less inconvenience and pain when dealing with enterprise processes and applications.
How hyper-automation works?
The core enabling technology of hyper-automation is RPA enriched by AI and ML. Combination of RPA and AI technologies offer the power and flexibility to automate undocumented processes that rely on unstructured data inputs. Hyper-automation is not just a software but it encourages businesses to adopt tools that work together. The ability of computer systems or software communicating 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.