According to Deloitte, “RPA continues to meet and exceed expectations across multiple dimensions including improved compliance (92%), improved quality/accuracy (90%), improved productivity (86%) and cost reduction (59%).” RPA is being used in many ways across multiple business sectors such as banking, retail, transportation, government and so on. RPA has advanced considerably in the last couple of years and is expected to manage customer-oriented processes along with internal processes, in the coming years.
Infrastructure as Code: The Key Offering of AWS DevOps
AWS was the first to offer Infrastructure as Code (IaC) via AWS CloudFormation as a part of AWS DevOps. It enables developers and systems administrators to easily create and manage a collection of related AWS resources. They can provision and update them in an orderly and predictable way. Developers can use AWS CloudFormation’s sample templates or create their own templates. The concept of IaC is as old as the practice of DevOps. There are many experts who argue that DevOps wouldn’t be possible without the use of IaC.
5 Myths About Robotic Process Automation- Debunked
According to Gartner, “The Robotic Process Automation software market will grow by 41% year over year to 2020”. The big tech companies like Google, Amazon, Apple and Microsoft are investing heavily into machine learning and RPA. Thus, for the last couple of years, robotic process automation has been deployed extensively across many industries such as retail, utilities, finance, government etc. Despite of this growth, RPA is still shrouded with many myths around its potential and working. But before busting these myths, let’s first understand-