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Automation Anywhere

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Pega

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RPA can redefine back-office functions such as applications handling, claims processing and data entry, completely eliminating human intervention in repetitive, time-consuming tasks. The results are immense and essential for an organization’s success.

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Robotic Process Automation (RPA) has ushered in an era of low-cost, high-quality and quick service delivery. Remember how the introduction of machines completely transformed the way factories once operated.RPA is ringing in a similar revolution, overhauling the way business processes are solutioned, delivered and managed.

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To Learn And Adapt: Why 2018 Is The Year Of Machine Learning

Machine Learning and its components has forever changed the way businesses operate. As per research, machine learning market will grow from $1.41 billion in 2017 to $8.81 billion by 2022. As per IDC forecast, global expenditure on AI and ML will see an increase from $12B in 2017 to $57.6B by 2021. Deloitte Global has predicted that the number of machine learning pilots and implementations will grow twice in 2018 compared to 2017, and double again by 2020. Unstructured data makes for the biggest data set available today. Statistically, 80 percent of the world’s data is unstructured. This includes data derived from documents, emails, text exchanges, analyst reports, news, CRM Notes, social media posts in the form of text or images.

factors are driving increased adoption of automation and robotics

Every business has unique requirements but the most consistent factor in increased adoption is simply the need to automate things which, before now, could never have been automated before. As businesses drive to become digital enterprises, they must automate things that can be automated to drive greater business efficiency and reliability in meeting customer demand at the most practical cost. Banks and other financial services organizations now automate mundane back office business processes which have never been automated before. It’s one of the reasons mortgage applications take far less time to be evaluated and approved. As it has in the past, automation will continue to accelerate human innovation.