Data is both structured and unstructured.Complex tasks with activities across multiple systems.This is going to make data intensive tasks, a prime candidate for automation.īased on the type of task or process being automated and certain other parameters, the level of automation can be determined ( 4) – Meanwhile, machine-generated data will account for 40% of internet data this year ( 3). The majority of the world’s data has come about in only the past two years as indicated by available statistics. Data growth statistics in 2020 tell us that big data is growing at an unprecedented rate. Today’s age is known as the information age and it is driven by data. Some of the common use cases are Customer Acquisition & Onboarding, Customer Servicing, Invoice Processing, Sales Incentive Calculation and many more. With the advent of AI, more and more complex, end-to-end processes are being automated successfully. Taking over repetitive, menial tasks from people and thereby Today’s businesses automate to achieve a variety of outcomes by – The reasons for automating tasks and processes haven’t changed from the ancient to the modern times. Simply put, the automation of tasks began with the Mayans, extended through the assembly line at Ford Automobiles and is now at the stage where Artificial Intelligence and Machine Learning algorithms have given it an altogether new meaning.ĭigital process automation platforms have evolved from the legacy application packages (as they were known then) through the MRP (material resource planning), ERP (enterprise resource planning) and BPM (business process management) systems to the shape and form they are in, currently. Process Automation as we know it today, followed much later towards the middle of the 20th century after access to computers became broad based and most organisations had started on the computerisation journey. Here the reprogramming is done offline, leading to continuous production. Flexible Automation – this takes programmable automation to the next level.The disadvantage of this type is that the production line has to be taken down for reprogramming, resulting in idle time and productivity loss. Example: numerical control machine tools. Programmable Automation – one where the production equipment can be changed.Fixed or Hard Automation – one that cannot be easily changed and requires high level of initial investment.All early progress in automation was in the manufacturing sector and these could be segregated into three types ( 2) – This is when the assembly line was born and mechanical devices were invented and used to speed up the manufacture of vehicles. The term Automation, however, was first heard of in the automobile industry in the mid 1900s. The use or introduction of automatic equipment in a manufacturing or other process or facility. These were self-operating machines, able to perform basic tasks. The ancient Greeks too built automatons propelled by compressed air, steam and hydraulics ( 1). However, it was actually much earlier in the Mayan age, 4000 years ago, when they built aqueducts to transport water. If one is asked the question, when did automation start, it will be logical to think that it began with the industrial revolution in the 18th century.
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