A Comprehensive Guide to Hyperautomation

Based on Gartner’s recent prediction, hyperautomation is expected to be the emerging trend that will have a massive impact in the next decade. Apart from automating mundane tasks, it also requires automating business processes through Artificial Intelligence, Robotic Process Automation, and Machine Learning. No wonder Hyperautomation Services have already started to take center stage these days.

Technology involved:

The term "hyperautomation" is a combination of multiple technologies as follows:

Machine Learning:  It employs algorithms for teaching computers to carry out complex tasks on their own without being programmed.

Robotic Process Automation: RPA enables us to configure software systems to facilitate robots to safely, reliably, and accurately do structured and repetitive tasks in a digital ecosystem.

Artificial Intelligence (AI): AI’s primary objective is to make machines that are empowered to solve problems and take decisions based on human logical thought processes.

Chatbots: They are ML, AI, and NLP-oriented systems that are capable enough to handle real-time conversations with humans using speech and text.

Big Data: Big Data employs technologies that offer ways for storing, managing, and analyzing large volumes of device data, thereby aiding in pattern identification and optimal solution creation.

Cobots: Collaborative robotics, also known as Cobots, are robots that split the human workload, especially in huge production processes.

Definition:

Hyperautomation comprises automating all stages of business processes, including workflows, production chains, and marketing processes, through machine learning, artificial intelligence, and robotic process automation. It plays a vital role in identifying automatable processes and aids in bots creation to accomplish them. Furthermore, hyperautomation services play a key role in the digital transformation journey by offering valuable business intelligence information. In fact, it can become a game-changer in forming fluid organizations that can adapt to change on a quicker basis.

There are various hyper-automation platforms that can be deployed over the technologies that are already utilized by a company. Along with RPA, there are a host of other useful platforms like Integration Platforms as a Service, Intelligent Business Process Management Suites, and information engines to complement it. By harnessing its power, we could create a Digital Twin Organization (DTO), a virtual representation of a workflow or product, which can simulate the way processes show and interact with each other during real-time value creation.

Working Logic:

As per Gartner, RPA enriched by ML and AI becomes the core to make hyper-automation feasible. By using these technologies in tandem, flexibility and power can be imparted to various work areas. Since automation has stretched its service to domains that were never explored before, human efforts are being redirected to highly skilled tasks involving data interpretation, decision-making, and critical thinking.

Key benefits:

Ability to seamlessly integrate ML, AI, NLP, and RPA into an organization’s existing process.

Improved employee satisfaction levels.

Scope to digitally align a firm’s technology investment and business processes.

Cut on the company’s overall operational costs incurred.

Possibility of obtaining business data and take effective business decisions using AI and Big Data.

The Gartner Study 2024 reveals that by combining hyper-automation techniques with remodeled operational processes, a firm can reduce its running costs by 30%. iOPEX, a market leader in hyperautomation services, can save your precious time and money by leveraging the market’s best practices to deploy tailor-made hyperautomated systems for your enterprise in a flash. So, why not give it a try right now?