https://www.functionize.com/blog/what-is-hyper-automation/

> Initially, hyper-automation sounds like yet another buzzword. But analysts 
> say hyper-automation is a thing unto itself, and they suggest businesses pay 
> attention to it. Great. But then, what is it?
> 
> One reason that hyper-automation is difficult to recognize is that it has 
> many names. Gartner calls it hyper-automation, and considers it one of the 
> top trends of the year. IDC calls it Intelligent Process automation while 
> Forrester dubs the same practices Digital Process Automation. Still others do 
> not call it by any name at all.
> 
> “We created the first of its kind hyper-automation tool for project 
> management. We don’t present it that way because people don’t yet understand 
> and really know about hyper-automation,” says Grégory Stoos, a French 
> entrepreneur who founded Portuguese startup planless.io.
> No clear name, but it’s a real thing
> 
> While the name is still a bit in flux, the definition has already gelled.
> 
> According to Gartner, hyper-automation “involves a combination of tools, 
> including robotic process automation (RPA), intelligent business management 
> software (iBPMS) and AI, with a goal of increasingly AI-driven decision 
> making.” The firm further clarifies that “hyper-automation often results in 
> the creation of a digital twin of the organization (DTO)” which in turn 
> enables  organizations “to visualize how functions, processes and key 
> performance indicators interact to drive value.”
> 
> In short, you can think of hyper-automation as automated automation. It 
> always functions at high speeds and often (though not always) at large scale.
> 
> “Hyper-automation enables machines to automate the further implementation of 
> additional automation without the input of human assistance. It is often said 
> that machines running on this type of technology can not only learn 10,000 
> times faster, they can do so without ever missing it on the next iteration,” 
> says Nate Nead, CEO of DEV.co, a custom software development company.
> 
> While it is used in several industries, it is not generally widespread.
> 
> “Hyper-automation is yet to become mainstream, but adoption is growing. My 
> observation is based on the fact that even in call centers, despite its 
> usefulness, hyper-automation is yet to become a staple,” said Reuben Yonatan, 
> founder and CEO of GetVoIP, an advisor service on cloud communications.
> A few current examples
> 
> Today, use cases are typically in early stages, particularly in contexts 
> where you would expect heavy automation. A common goal is accelerating, 
> streamlining, and even redesigning processes.
> 
> “A real-world example of hyper-automation in my industry—cloud 
> communication—is the use of RPA and AI in call centers to automate processes 
> such as mouse clicks and application launch to help an agent quickly pull 
> information about a client from multiple systems,” explains Yonatan.
> 
> “When a customer calls in, an agent must aggregate information from various 
> systems to get a complete customer profile. With the hyper-automation tools 
> handling the process, the agent doesn’t have to keep switching between 
> several applications, and the process is faster,” Yonatan adds.
> 
> Implementations vary significantly, depending in large part on where and why 
> hyper-automation is used. That is likely to remain true for the foreseeable 
> future too.
> 
> “Traditional areas where such AI tools will truly skyrocket in the next 
> decade include database search querying, project automation, CRM, ERP 
> systems, fulfillment and tracking of things like leads, people, processes and 
> packages. As machines learn faster and make less mistakes then humans, it is 
> estimated that most jobs will be automated in 20 years or less,” says Nead.
> 
> Wyndham Capital Mortgage, which entered a partnership with AI Foundry in May, 
> is another example of a company using hyper-automation to automate where 
> automation couldn’t go before.
> 
> “Wyndham Capital Mortgage’s strategy is to be a leader in the utilization of 
> automation and particularly robotic processing technologies,” said Wyndham 
> Capital Mortgage CEO Jeff Douglas in a statement to the press. “By 
> implementing [AI Foundry’s] Agile Mortgages’ cognitive robots, we are now 
> able to push deeper into loan processing stages where document and decision 
> complexity limited automation gains.”
> 
> In short, Wyndham is accelerating its loan origination process and jacking up 
> scale too. Part of that is achieved by using robots to fetch information from 
> a variety of sources, thereby eliminating menial work typically done by 
> operations employees.
> 
> “Wyndham Capital Mortgage has been utilizing RPA for some time. Integration 
> of AI Foundry’s solutions moves it to hyper-automation,” explains Nir 
> Kshetri, a professor at University of North Carolina-Greensboro and a 
> research fellow at Kobe University.
> 
> The move to hyper-automation was necessary because RPA alone is insufficient 
> to fully automate the loan origination process. Wyndham needed a 
> technological fix for RPA’s gaps and shortcomings.
> 
> “RPA perform well in automating predefined steps in which rules define where 
> relevant data can be located on each type of pre-defined document – for 
> example, [tax] form 1040 and statements from some predefined banks. However, 
> RPA may not deliver the automation goals if different customers submit 
> documents in different formats with different contents. By utilizing [machine 
> learning] and machine vision financial institutions such as Wyndham Capital 
> Mortgage can extract relevant information from diverse documents,” Kshetri 
> adds.
> 
> Even though it hasn’t gone mainstream yet, hyper-automation is in common 
> enough use that consultancies are already organizing guidance for their 
> clientele.
> 
> The Art of Service, a management consultancy company based in Australia, 
> frequently releases updated and new assessments of hyper-automation based on 
> hundreds of projects and initiatives according to CEO and R&D Director, 
> Gerard Blokdyk. Gartner, IDC, Forrester and other firms also provide guidance 
> and projections.
> 
> That’s a lot of attention for a group of technologies that’s yet to entirely 
> settle on a name. And at least it’s a real thing. In the meantime, think of 
> hyper-automation as a swiftly laid foundation for businesses keen on 
> future-building rather than future-proofing.



-- 
Kim Holburn
IT Network & Security Consultant
T: +61 2 61402408  M: +61 404072753
mailto:k...@holburn.net  aim://kimholburn
skype://kholburn - PGP Public Key on request


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