Intelligent Process Automation - Emerging set of New Technologies

Intelligent Process Automation (IPA) refers to the application of Artificial Intelligence and related new technologies, including Computer Vision, Cognitive automation and Machine Learning to Robotic Process Automation. This convergence of technologies produces automation capabilities that dramatically elevate business value and competitive advantages for our customers.

Intelligent Process Automation is one aspect of a broader shift in technology, that of Automation as a whole. From driverless cars to autonomous drones, automation is helping make seemingly space-age technologies available today by creating and leveraging new forms of intelligence. Whether it’s customer communications in the form of desktop assistants, or automated tasks across an enterprise, automation is transforming the way we live and work.

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Intelligent Process Automation

Forrester predicts that this year automation will “become the tip of the digital transformation spear, impacting everything from infrastructure to customers and business models.” To deliver services based on this automation, organizations need to orchestrate their complex operations through automated processes.

The Main Purpose of Intelligent Process Automation (IPA)

It is to enable organizations to automate processes that involve unstructured content, including text and images. It does so without requiring rule-based decision-making or huge training data sets that are out of reach for 95% of enterprises.

Some of the key players of Intelligent Process Automation Market -

Accenture, Blue Prism, Capgemini, Cognizant, CGI Inc., Genpact, HCL Technologies Limited, IBM, KPMG, TATA CONSULTANCY SERVICE

Benefits of Intelligent Process Automation

Orchestration of humans and robots – Rather than simply deploying technologies like RPA in silos and leaving them to complete individual tasks, IPA can help to co-ordinate work between robots, people and systems.

Freeing up employees from routine tasks – Employees can be released from labor-intensive tasks by RPA and set to work in more efficiency areas. By combining with DPA and AI, you can rest assured that the correct decision is being made.

Ensuring proper governance and minimizing risk – By automating end-to-end processes, you can reduce the risk of errors such as incorrect data entry.

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End-to-end visibility of processes and the customer journey – When individual automation technologies are deployed, it can be hard to see the enterprise-wide result. Using IPA, you can see the entire process, allowing you to identify bottlenecks or points at which the customer journey could be smoother.

Agility and speed of process change – IPA enables you to not only accelerate end-to-end processing but also makes it easy to make agile changes to processes and the technologies that support them. This helps organizations to continually improve their business processes.

Reference – uipath, bizagi, The Insight Partners