The 6 must-know hyperautomation trends
While some businesses have fully embraced hyperautomation, others are still experimenting with it at the periphery to see how it will best impact their business. Experts predict that within the next two years, every firm will actively use at least three of the 20 central processes that underlie hyperautomation.
Regardless of your current position, the moment has come to set up your company for a future that fully embraces this collection of potent technology. Here are the major trends from Gartner's Top Strategic Technology Trends for 2022: Hyperautomation to consider when you develop your approach.
1. Mainstream Hyperautomation
As with most new technologies, hyperautomation was quickly adopted by a small number of large companies that were willing to invest a significant amount of money in their experiments. However, as technology advanced, costs decreased, making them more affordable for SMEs with tighter budgets. Hyperautomation service providers are offering smaller, more manageable solutions to better serve the needs of small- to medium-sized organizations.
2. Robotic process automation's commercialization
Vendors are shifting their efforts to expanding their top-tier solutions as RPA becomes a more "entry-level" product. To provide consumers with a one-stop-shop for things like analytics, process mining, machine learning models, and more, they are vying to offer a thorough hyperautomation catalog.
RPA's commercialization benefits all businesses, not just smaller ones. Larger firms can take advantage of this trend to vary their hyperautomation portfolio by utilizing high-end tools for complex operations and low-cost solutions for simpler jobs.
3. Low-code leaks into hyperautomation
The abilities, passion, drive, and job scope necessary to conceptualize, design, develop, test, and produce technology as well as data and analytics solutions are what Gartner characterizes as being present in this new cohort. To thrive, this group of driven technology leaders will require the right resources and instruction. Vendors of hyperautomation will increase their investment in low-code AI solutions, enabling more general business users to access machine learning models. Teams of business technologists will receive more uniform training from organizations. Low-code tools will transition from a useful competitive advantage to the industry standard by 2024, when they will be used for roughly 70% of all development work.
4. A new era of digital twins
65% of decision-makers in the manufacturing sector anticipate using hyperautomation to create digital twins of their business processes in the upcoming years. The idea was inspired by NASA's Apollo mission, which involved building precise duplicates of the lunar module on Earth. This twin remained in the lab to serve as a precision engineering simulator while the other shot toward the moon.
Your operations are replicated in the digital world by a digital twin. You can test how increased production might wear on machinery, examine how varying speed limits for field representatives would affect gasoline expenses, and observe how a small adjustment to one operation will affect the ones that follow it. To accurately reflect real-world situations, digital twins need an abundance of data, and hyperautomation is the ideal data hog to support this trend.
5. redesigning teams for the future of automation
During the most challenging times of the pandemic, automation kept many businesses viable. Many employees are displeased by the growing number of bots performing tasks that once belonged to human staff members as business resumes as usual. Their concerns aren't wholly unjustified, it's true—by 2025, automation is predicted to replace one in three jobs. On the other hand, artificial intelligence is anticipated to create more employment than it will eliminate. By the same year, according to Gartner, AI is expected to generate two million net-new employment. These new positions will appear at both ends of the spectrum: at the entry-level and in highly skilled, visionary senior management.
Revisions to roles are being made by savvy firms to get their staff ready for the impending transformation. Gartner also advises businesses to begin developing "fusion teams" rather than viewing the hyperautomation software package as a threat. These hybrid teams combine technology with a human employee's business subject expertise.
6. automated systems that go beyond routine chores
Executives are investigating how hyperautomation might function alongside human thought leaders in non-routine jobs, as well as how automation has been a godsend for increasing efficiency among repetitive, routine tasks. They are urging their teams to begin considering the major problems they may pursue with the aid of AI, rather than lamenting the loss of menial, repetitive jobs to a bot. Human employees should not be seen to be extinct as a result of AI activity; rather, it should be seen as a tool to enhance human skill sets with intelligence and insight that cannot be obtained manually.
Companies can no longer delay the implementation of hyperautomation. It is now a common strategy accessible to businesses of all sizes, not just the technorati elite.
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Top Strategic Technology Trends for 2022: Hyperautomation