The advanced technology trend put forth by Gartner has hyperautomation listed for the last two consecutive years. This by itself is a testimony to the fact that we live in the era of hyperautomation.<\/p>\n
The hyperautomation market is forecast to reach $200m by 2025, growing at a CAGR of 14% in the period 2019-2025.<\/p>\n
Robotic Process Automation (RPA), when amalgamated with Artificial Intelligence (AI), Machine Learning (ML), and intelligence business process management tools, gives a whole new dimension to automation.<\/p>\n
According to Gartner<\/em><\/strong>, \u201cRPA enriched by AI and ML has become the core enabling technology for hyperautomation. Combining RPA and AI technologies offers the power and flexibility to automate where automation was never possible before: undocumented processes that rely on unstructured data inputs<\/em><\/strong>\u201d.<\/p>\n Hyperautomation is an advanced form of automation, serving the purpose of completing tasks and processes faster, more efficiently, and with fewer errors.<\/p>\n It enables enterprises to combine business intelligence systems, complex business requirements, and augmentation of human knowledge and experience, whereas simple automation is used to get simple and repetitive tasks done that don\u2019t need a lot of intelligence.<\/p>\n According to Brian Burke<\/em><\/strong>, research vice president at Gartner<\/em><\/strong>, “We’ve seen tremendous demand for automating repetitive manual processes and tasks; so robotic process automation was the star technology that companies focused on to do that. That has been happening for a couple of years, but what we’re seeing now is that it’s moved from task-based automation to process-based automation, so automating a number of tasks in a process, to functional automation across multiple processes, and even moving towards automation at the business ecosystem level. So really, the breadth of automation has expanded as we go forward with hyperautomation<\/em><\/strong>“.<\/p>\n Hyperautomation came into play when a traditional RPA found it difficult to automate the process of unstructured data.<\/p>\n Switching to hyperautomation has become one of the smarter automation opportunities for many CXOs due to the limitations posed by RPA.<\/p>\n Hyperautomation shifts the focus to more complex work, process simplification, culture in enabling automation, and decision making.<\/p>\n As multiple sets of the latest emerging advanced automation tools and technologies amalgamate to enable hyperautomation, it has become a favorite choice for many businesses.<\/p>\n Apart from RPA, the technologies enabling the hyperautomation trend include Intelligent Business Process Management Suites (iBPMS), Process Mining, API\u2019s, Artificial Intelligence\/ Machine Learning, Natural Language Processing (NLP), Optical Character Recognition (OCR), and Digital Twin of an Organization (DTO).<\/p>\n iBPMS<\/strong>: An integrated business process management system (iBPMS) is a collection of technologies that work together to coordinate humans and machines in the delivery of business processes. By using business rules, an iBPMS allows organizations to model, implement, and execute sets of interconnected processes. Despite the fact that it has become less popular since the introduction of RPA, it is still a helpful tool for process automation.<\/p>\n APIs<\/strong>: APIs have been available for a long time, as has the technology and frameworks for providing black-box software interfaces. Back in 2002, Jeff Bezos famously pushed all of Amazon to embrace APIs. However, many businesses still use old interfaces to transfer data between programs. Using APIs makes machine-to-machine communication and, as a result, automation easier.<\/p>\n AI\/ML<\/strong>: Machines imitate human cognitive processes, and ML is a subclass of AI that includes machine learning algorithms. ML is used by businesses to carry out certain activities without the need for explicit programming, relying on data.<\/p>\n NLP:<\/strong> NLP enables organizations to automate processes that would otherwise be performed by knowledge workers. It allows computers to comprehend unstructured material such as emails, social media posts, and videos. Then, depending on your business’s automation goals, it does sentiment analysis, automatic language translation, or automatic text classification into categories. RPA bots can comprehend the context of a task thanks to NLP technology.<\/p>\n OCR<\/strong>: For some tasks, OCR can replace physical labor. Data in documents can be extracted and converted into machine-readable characters using OCR. Businesses can automate processes where human contact is required to extract data from documents, evaluate it, and take action to complete the task when it is paired with AI and RPA.<\/p>\n DTO<\/strong>: A virtual counterpart of a product, service, or process is known as a digital twin. A DTO allows an organization to see previously unknown relationships between processes, functions, and key performance indicators in order to test the results of automated operations before they are automated.<\/p>\n Hyperautomation applications vary depending on the combination of technologies. Just like the Internet of Things (IoT), the components that constitute hyperautomation are related to each other. With an evolving set of AI technologies, they rapidly identify and automate all possible business processes.<\/p>\n As Gartner<\/em><\/strong> Research Director Manjunath Bhat<\/em><\/strong> states, \u201cRobots aren\u2019t here to take away our jobs, they\u2019re here to give us a promotion<\/em><\/strong>.\u201d<\/p>\n Hyperautomation unlocks more automation opportunities by enabling robots and people to automate together, from basic processes to more complex, long running, end-to-end processes. It should not only be a potential opportunity, but also an inevitable change to the business.<\/p>\n According to Gartner<\/em><\/strong>, \u201cHyperautomation is an unavoidable market state in which organizations must rapidly identify and automate all possible business processes<\/em><\/strong>.\u201d<\/p>\n To implement a hyperautomation strategy, it requires the right toolbox and a strategic approach to deliver value.<\/p>\n Hyperautomation or Intelligent Automation, like IoT, is made up of interconnected components. They operate in a cyclical manner. Automation is at the heart of this procedure. Automation reaches a whole new level when integrated with AI, ML, and intelligent business process management solutions. These are the three pillars of hyperautomation, although the basis is still business analysis and scenario creation in cases when hyperautomation is required.<\/p>\n We have data analytics and other ROI measuring methodologies to close the loop and confirm that the hyperautomation installation is providing the intended, qualitative outcomes. Hyperautomation empowers an enterprise to blend complicated business objectives, business analytics systems, and augmentation of human expertise and experience, where basic automation is used to get prevalent, simplistic, and repetitive tasks done that don’t require a lot of intelligence to be executed.<\/p>\n Some of the key stages that lead up to hyperautomation are as follows \u2013<\/p>\n Low-code usage is encouraged in as many levels as feasible by some businesses. With a basic set of codes already placed into a framework by a third-party vendor, the company can employ graphical user interface approaches to set up their hyperautomation system, such as dragging and dropping the codes they require. With the use of the proper low code in automation, coding from scratch and fitting into a network with the right API may be eliminated, allowing greater focus to be applied to business intelligence duties.<\/p>\n Hyperautomation appears to be the natural next step in the automation path, but a thorough understanding of the concept and its implementation are required to reap the full benefits.<\/p>\n The benefits of hyper-automation will allow your workforce to be educated with the latest marketplace information and business so that they can perform their roles optimally. Rather than being bogged down by low-level, repetitive tasks, your workforce will remain engaged with their jobs as they seek to resolve problems and provide creative solutions.<\/p>\n Hyper-automation provides your business and its leaders with:<\/p>\n Hyperautomation can supplement employment and promote sustainability with the correct tools and technology, while also creating better outcomes and higher profits. The difficulty, on the other hand, is in obtaining the correct tools, combining them, and successfully deploying them in a commercial setting.<\/p>\n Hyperautomation extends beyond RPA and is future-proof, allowing machines to read into business processes, learn how they work, assist in their improvement, and continuously improve.<\/p>\n Because hyperautomation evolves and grows with the organization, businesses are prepared for the future even years down the road. They won’t have to worry about their IT infrastructure becoming obsolete.<\/p>\n At Cigniti, we take pride in fortifying our clients\u2019 organizations to tackle the continuously evolving market landscape. With next-gen technologies and experienced industry professionals on our team, we ensure that your organization always stays ahead of the curve.<\/p>\nStrategic technology trends enable hyperautomation<\/h2>\n
Key stages that lead up to hyperautomation<\/h2>\n
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Benefits of Hyperautomation<\/h2>\n
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Closing thoughts<\/h3>\n