A Complete Guide to Hyperautomation in 2023
Hyperautomation is one of the hottest trending technologies. Having found its spot in the industry analysts' most competitive technologies continuously for three years (2020-22) in a row, it is sure to retain its successful ranking in the coming new year as well, given the plethora of benefits it brings to the organizations.
What Is Hyperautomation?
Hyperautomation goes beyond automation. It uses an amalgamation of technologies, including artificial intelligence (AI), machine learning (ML), robotic process automation (RPA), intelligent business process management suites (iBPMS), natural language processing (NLP), low-code/no-code, and other automation tools to rapidly identify, vet, and automate key business processes.
When Hyperautomation Came Into Existence?
Now, this makes up for some interesting historical facts! For most of the world, hyperautomation came into the spotlight, only when the term was coined in 2019, and it has been gaining momentum ever since the COVID crisis started when organizations began looking to accelerate their digital offerings. However, hyperautomation capabilities, which include process mining, process mapping, task automation, and decision automation, came in as early as 1920. Interestingly, the concept of using different automation technologies was first introduced by Forrester in 1910, and this was called intelligent business process automation (iBPM). iBPM differs from hyperautomation. In iBPM, AI simulates types of human intelligence to process high-level functions that require reasoning and judgment to some extent. Hyperautomation is more like a toolbox - it processes higher-level functions, right from orchestration, intelligence, predictive insights, guided recommendations, to decision-making.