Impact of RPA on the Existing Workforce and Workplace

#artificialintelligence

With current technologies like artificial intelligence, machine learning and data analytics being democratized in everyday applications, the IT industry has almost successfully transitioned into the Digital Era. When talking about digitization, one idea most industry leaders agree upon is that automation is the need of the hour. Along with other new age technologies, Robotic Process Automation (RPA) too has made a mark in the IT industry and according to Gartner 85 percent of big organizations will have deployed some form of RPA by the year 2022. While RPA is meant to bring about efficiency and reduce errors made in mundane and tedious work done manually by humans, it does give rise to the question of will there be a loss of jobs in the IT industry due to democratization of RPA. Automation, a popular emerging technology has an assured place in the future of global businesses.


Impact of RPA on the Existing Workforce and Workplace

#artificialintelligence

With current technologies like artificial intelligence, machine learning and data analytics being democratized in everyday applications, the IT industry has almost successfully transitioned into the Digital Era. When talking about digitization, one idea most industry leaders agree upon is that automation is the need of the hour. Along with other new age technologies, Robotic Process Automation (RPA) too has made a mark in the IT industry and according to Gartner 85 percent of big organizations will have deployed some form of RPA by the year 2022. While RPA is meant to bring about efficiency and reduce errors made in mundane and tedious work done manually by humans, it does give rise to the question of will there be a loss of jobs in the IT industry due to democratization of RPA. Automation, a popular emerging technology has an assured place in the future of global businesses.


How to automate the enterprise: Your guide to getting started

ZDNet

The deluge of stories about artificial intelligence and robots has sparked a renewed interest in the capacity of machines to work better, smarter and longer than humans. Fuelled by the well-publicised examples of smart systems winning gameshows and trouncing a world-champion in the notoriously complex game of Go, many businesses are considering the potential of automation. But away from the speculation about the capabilities of near-future AI and robots, what are the practical considerations for any firm thinking of going down the automation route? The first rather obvious question for a business to ask is whether it is technically feasible to automate a particular activity, or will be in the near future, according to the consultancy McKinsey. This question shouldn't be drawn too broadly, and should focus on individual aspects of a person's role rather than their job in its entirety.


What is Robotic Process Automation? How is RPA different from Traditional Automation?

#artificialintelligence

We as a generation and mankind recently outlined a critical milestone in our progress. A robot was recently awarded the citizenship of a country. Robots and automation have broken the shackles of our imagination and have become a part of our reality. While we are still far away from realizing what we have managed to sell in science fiction movies, we are closer than ever. Robots and automation have, until now, allowed machines to act and work like humans.


The robots keep rising as AI-driven business transformation evolves

#artificialintelligence

With advances in machine learning, artificial intelligence and big data, companies can enhance their ability to predict rather than react to rapidly changing demands and expectations. By implementing a digital workforce of software robots, organisations can ensure that work is done around the clock, eliminate human error and reduce human dependency to drive revenue and ensure an'always-on' service for customers. Intelligent process automation (IPA) is improving results in many sophisticated processes such as loan applications for banking, claims adjudication for insurers, provider verification for healthcare and clinical data management for life sciences, as well as traditional technology processes like infrastructure services and information management. However, the fact remains that automation still has its limits, and there are some things that robots just cannot do, such as medical management, underwriting, case reviews, speak or comprehend colloquial slang, understand people's emotions and think on their feet. It is a stretch to say that robots and software now run industry.