Hyperautomation - Advancing beyond traditional automation

In the age of digital transformation, businesses are constantly seeking ways to streamline their operations, increase efficiency, and drive growth. The first step for investing in any cutting-edge technology is to define your business objectives and digital ambitions.

Are you trying to accelerate growth? Is your goal to boost revenue? Do you want to increase profitability and reduce costs?

Answering these questions will help you achieve your organization's business goals by exploring the technologies and methodologies that are currently available. Hyperautomation is one such technology that promises to fulfill your digital ambitions and unlock new levels of efficiency and productivity so your organization can build an agile, resilient environment ultimately thriving in the digital age.

The rise of hyperautomation

Over the past few years, several key technologies have emerged that have paved the way for hyperautomation. These include:

1. Artificial intelligence (AI): Refers to the simulation of human intelligence in machines that are programmed to perform tasks that would typically require human intelligence to accomplish.
2. Robotic process automation (RPA): Is a technology-driven approach to automating repetitive and mundane tasks performed by humans.
3. Machine learning (ML): Is a subfield of AI that uses algorithms to enable computers to learn from data, identify patterns, and make decisions with minimal human intervention.
4. Low-code development platforms: These enable organizations to create applications and workflows without the need for extensive coding skills. This has made it easier to automate processes and develop custom solutions quickly and efficiently.
5. Digital twin technology: It involves the creation of a virtual replica of a physical system or process. This enables organizations to test and optimize processes in a virtual environment before implementing them in the real world, which can lead to more efficient and effective automation.

Overall, the emergence of these technologies has enabled businesses to move beyond simple, repetitive automation and take on more complex and high-level tasks, paving the way for hyperautomation.

Automation vs. hyperautomation

To put it simply, automation refers to the use of technology to automate simple, routine, and repetitive tasks such as file transfer and data entry. It doesn't require complex decision-making or human intervention.

Hyperautomation is a natural progression of automation. It is a disciplined approach that enables organizations to automate multiple manual and time-consuming tasks through the use of advanced technologies like AI, RPA, ML, low-code, packaged software, and other automation tools, while minimizing human intervention. Unlike traditional automation, hyperautomation handles unstructured data, makes intelligent decisions and predictions, and provides more accurate decisions.

In essence, hyperautomation is a more advanced form of automation, which leverages multiple technologies to create an intelligent and flexible ecosystem that can automate and optimize a wide range of business processes.

Why is hyperautomation a must-have in today's IT landscape?

The two biggest driving forces of hyperautomation are operational excellence and accelerating digital. Operational excellence focuses on streamlining and optimizing existing processes, while accelerating digital rapidly modernizes the way things these processes are accomplished. Hyperautomation is no longer a choice; it has become a requirement to survive in the current marketplace.

By 2024, organizations will lower operational costs by 30% by combining hyperautomation technologies with redesigned operational processes. - Gartner

Also, it's important to note that the pandemic accelerated hyperautomation's already frenetic pace by requiring digitization and automation to enable us to work remotely and virtually. Hyperautomation also enables an unprecedented level of agility and scalability, ensuring that organizations stay competitive in rapidly changing markets.

Why are organizations making a shift towards hyperautomation?

• The desire to reduce costs: Organizations can streamline processes and reduce costs by automating the manual, time-consuming tasks that take up a significant portion of their budgets.
• The ambition to improve quality: Data can be collected and accurately analyzed across an enterprise, thereby improving decision-making quality.
• The need for increased efficiency: Automating mundane tasks frees up resources that can be redirected towards higher-value activities.
• To avoid human errors that could cost lead to loss of any kind: Automating tasks eliminates the chances of human errors, which can often lead to substantial financial losses or reputational damage.
• To provide a satisfying and a positive end-user experience: Leveraging automation also provides an added layer of convenience, ensuring end users receive a positive and satisfactory experience every time they interact with a company’s products or services.
• Outdated work practices that cause latency: Terminating legacy systems prevents inefficiencies, allowing businesses to deliver faster, better quality products and services to their customers.

The two most common challenges in implementing hyperautomation

Like any other new approach, hyperautomation comes with challenges when it is first implemented into the normal course of business. Some of the challenges include:

• In every organization, employees have been trained on how to perform their jobs manually without using devices. To implement hyperautomation successfully, businesses must take steps to ensure that employees can transition into the new system easily by providing appropriate training.
• When organizations start automating every possible work process, they often come to the realization that monitoring them is more difficult. Choosing a comprehensive monitoring solution becomes vital. However, given the vast and ever-growing market, choosing just one product out of thousands can be a tricky and an overwhelming chore.

OpManager Plus: Our full-stack observability for your hyperautomation journey

To kickstart your hyperautomation journey, you need a capable, resilient and a cost-effective network monitoring tool to know what's happening in your IT infrastructure.

OpManager Plus integrates AI and machine learning techniques with its traditional IT management functionalities to automate complex workflows, enable predictive analytics, and achieve real-time monitoring across diverse IT environments. By leveraging these technologies, OpManager Plus not only streamlines routine tasks but also provides intelligent insights into emerging issues, significantly enhancing operational efficiency and reducing the need for manual intervention. This approach facilitates a more agile and responsive IT infrastructure, aligning with the principles of hyperautomation. Click here to know more about the functionalities of OpManager Plus in detail.

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