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.
Answering these questions will help you achieve your organization's business goals. The technologies and methodologies are available to help. Hyperautomation is a 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.
Over the past few years, several key technologies have emerged that have paved the way for hyperautomation. These include:
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.
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.
Hyperautomation is a business-driven, disciplined approach that organizations use to rapidly identify, vet and automate as many business and IT processes as possible. Hyperautomation involves the orchestrated use of multiple technologies, tools or platforms, including: AI, ML, event-driven software architecture, RPA, business process management, and intelligent business process management suites, integration Platform as a Service, low-code/no-code tools, packaged software, and other types of decision, process and task automation tools.
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.
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:
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