IT Trend 2020: Hyper-Automation

IT Trend 2020: Hyper-Automation

Gartner Top 10 Strategic Technology Trends for 2020 have listed Hyper Automation as one of the biggest trends for 2020, as more and more enterprises are adopting automation in their work processes. Forrester has predicted that the global market for RPA services will hit US$7.7 billion next year and is expected to grow to US$12 billion in 2023. AI is increasing productivity through automation and is helping organizations derive meaning from ever-larger data sets.

 

Hyper-automation is the mixture of automation technologies that exist to expand and increase human capabilities by allowing organisations to automate more complex work with the help of robotic process automation (RPA) at its core, with artificial intelligence (AI), process mining, analytics, and other advanced tools that strengthen the ability to automate work. As defined by Gartner:

 

“Hyper-automation deals with the application of advanced technologies including artificial intelligence (AI) and machine learning (ML), to increasingly automate processes and augment humans.”

 

The adoption of Automation is helping organizations, that are data-driven, to be able to better respond to their customers’ demands, identify new business opportunities, improve their service delivery, eliminate all human errors, and reduce costs.  The idea is to automate more and more knowledge work, and engage everyone in an organization to be part of the transformation.

 

How is hyper automation important for enterprises in 2020?

 

Over 1 million knowledge-work jobs will be replaced in 2020 by software robotics, RPA, virtual agents and chatbots, and machine-learning-based decision management, predicts research firm Forrester in their new report, “Predictions 2020: Automation.”

Data Science, Analytics and Cognitive technologies are feeding RPA with the intelligence which is revolutionizing software automation in industries. Hyper automation offers a lot of benefits to the business by giving access to collaborative intelligence where humans and technology works side by side so that they can perform their roles optimally. As employees don’t need to perform repetitive tasks, they can be educated to work with automation tools, wisely and with intention, and learn the latest business and marketplace information through machine learning. They can also to taught how to interpret AI-enabled decision-making, find creative solutions to resolve problems and get more engaged with their jobs.

 

Simply put, once Hyper automation is incorporated into your business it will help to reduces human effort by doing a lot of work in lesser amount of time, reduce the risk of human errors as machines are calibrated for precision, improve the quality of jobs by eliminating deadly, exhausting, and dangerous for humans processes and leads to increased productivity and higher output.

 

But before any implementations, business must think and identify areas and processes where automation is really needed.  Business leaders must make a business plan and estimate the the return on investment, and of course train existing personnel to make the most of automation instead of thinking that automation will take their job.

 

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