Robotic Process Automation Across Industries

Shaily Kumar

Robotic process automation (RPA) is the application of software and technology with the use of artificial intelligence to carry out repetitive tasks quickly, tirelessly, and accurately. It enables you to create software robots that mimic human interactions using a computer system’s user interface. It was introduced not to replace humans, but to complement their efforts and ease tedious tasks. When the technology was first introduced, it was not fully accepted by all individuals and industries, but its wide-ranging benefits are now becoming clear.

RPA has been a great development in many industries today as large and small size industries that perform a lot of tedious tasks use it to ease operations.

RPA enhancements in 2017

The concept of automation has been around for some time, but it is now seeing a significant technological evolution in the sense that emerging software platforms are reliable enough for use in large enterprises. In 2017, RPA saw tremendous improvement with the introduction of new software that complemented or replaced existing tools. Comprehensive product update enabled users to automate more with less effort. This intelligent automation enables processes that are faster, simpler, scalable, and more secure.

In 2017 RPA also attracted the interest of more enterprises starting their digital transformation journey. Development of modern software robots has improved productivity, work quality, and customer satisfaction.

All in all, 2017 has seen a major turnaround for robotic process automation as it improved in all sectors.

Expectations in 2018

With the fast growth and impact of RPA, especially in the last few years, many people wonder what to expect next. What should we expect in 2018? How will robotic process automation affect businesses going forward?

At the rate researchers are improving existing RPA software, we can expect to see the application of artificial intelligence to boost operational efficiency. Robotic process automation should develop to a level where robots will be able to accurately recognize images and speech and process simple tasks. RPA applications will enable robots to interact with users in innovative new ways; for example, mimicking human interaction with technology. Cognitive reasoning will be incorporated into systems by utilizing cloud, machine learning, and Big Data.

In these ways, RPA will enable organizations to reduce costs, boost efficiency, and improve the accuracy of complex data in the coming year.

Industry applications

Banks, financial institutions, and insurance companies process large numbers of operations daily. In sectors that require intensive and bulky operations, RPA can be used as a virtual worker, replacing humans in mundane and repetitive tasks. Robotic process automation allows modern banks to meet their high demands for audibility, security, and data quality, while also improving operational efficiency. In credit card applications, automated software is used to handle tasks such as issuing cards to users. RPA improves the speed and accuracy of tasks, which in return increases productivity.

The retail industry is one industry that benefits greatly from the use of RPA. Automated software has been designed to handle fraudulent accounts, for example, as well as to update orders and process shipping notifications, eliminating the need to manually track shipped goods.

In telecommunications, RPA is used to monitor CRM subscriber feeds, fraud management data, and customer data updates. RPA also acts as middleware to automate user information.

Robotic process automation is a form of digital machine labor that replicates human cognitive functions and performs tasks accurately and efficiently in many industries. It has experienced a great development in recent years, especially in 2017, with the convergence of cloud, analytics, and powerful machines.

In 2018, we can expect to see further improvements in RPA, including cognitive reasoning applications. The technology’s ability to enable fast, precise operations in industries such as retail, telecommunications, and finance will continue to drive growth going forward as organizations adopt RPA tools to boost operational efficiency and cost savings.

For more insight on AI and advanced technologies in the workplace, see The Human Angle.

Shaily Kumar

About Shaily Kumar

Shailendra has been on a quest to help organisations make money out of data and has generated an incremental value of over one billion dollars through analytics and cognitive processes. With a global experience of more than two decades, Shailendra has worked with a myriad of Corporations, Consulting Services and Software Companies in various industries like Retail, Telecommunications, Financial Services and Travel - to help them realise incremental value hidden in zettabytes of data. He has published multiple articles in international journals about Analytics and Cognitive Solutions; and recently published “Making Money out of Data” which showcases five business stories from various industries on how successful companies make millions of dollars in incremental value using analytics. Prior to joining SAP, Shailendra was Partner / Analytics & Cognitive Leader, Asia at IBM where he drove the cognitive business across Asia. Before joining IBM, he was the Managing Director and Analytics Lead at Accenture delivering value to its clients across Australia and New Zealand. Coming from the industry, Shailendra held key Executive positions driving analytics at Woolworths and Coles in the past. Please feel to connect on: Linkedin: Twitter: