Intelligent Process Automation: How and Why Businesses are Using it?

Efficiencies through Robotics & Automation Cognitive RPA

cognitive process automation

BPM services are an effective way to accelerate application delivery for companies looking to become more agile and accelerate strategy execution. This improves the IT department’s ability to respond to business demands, reduces time-to-value, and accelerates digital transformation. Connecting people, processes, and technology yields enormous benefits in the digital age. Processes can be easily and quickly re-imagined and re-designed with the right BPM service in place, empowering people to effectively lead changes within the organisation.

From automation of complex processes to analysis of subtle patterns to aid planning, cognitive technology can be a powerful business tool. However, the pace of innovation has been accompanied by concerns over the risks that new and emerging technologies pose, creating a demand for ways to understand, mitigate and control these risks. IPA can now perform tasks that were once done by cognitive process automation humans and in addition they can perform these tasks with increased accuracy and efficiency. Along with traditional rule-based automation that RPA is popular for, IPA incorporated with deep learning and cognitive technology, is now capable of decision making as well. Indeed, cognitive RPA has been taking the business landscape by storm by automating a plethora of business processes.

Pioneering Business Transformation

Teams can decide on the best fit solution depending on the process/task requirements, frequency of the process, and level and frequency of human intervention required. RPA robots only do what they are told (no human errors) and will never mis-key, miscalculate or have a bad day; provided input data and business rules are correct, output data will be correct and consequently improve patient safety. It accesses systems and applications the same way a human does (with its own set of unique login credentials). The robots carry out processing in exactly the way they have been coded to do, defined by business rules and schedule established by process experts. These are not physical robots, rather, they are simply programmes that do what they are told to do. Intelligent capture enables its capture functions to include unstructured documents and image cleanup and corrections.

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RPA is data operator and works on standarized data.which can process the data which is available. Gartner estimates the size of the market for RPA to be USD 2.4bn in 2022 with some 85% of organisations adopting it by then. In Gartner’s 2018 Hype Cycle, RPA is indicated as moving from the ‘peak of inflated expectations’ to mainstream within 2 years. He is leading Intelligent Automation offering helping the clients to achieve the desired business outcome.

Age of Intelligent Automation – Looking beyond bots!

RPA should always be considered as part of a wider, people-focused, transformation that will enable efficient work delivery in the NHS. Automation is used to refer to a cluster of technologies including Robotic Process Automation (RPA). The real-time reporting and analytics features, allows users visibility over performance and error rates, improving the software’s ability to reach your company’s bespoke needs. Differentiate, scale and provide competitive edge to your business through Automation and Artificial Intelligence capabilities.

  • There’s also the efficiency factor which comes into play – the RPA systems are fast, and almost completely avoid faults in the system or the process that are otherwise caused due to human error.
  • It provides AI with cognitive ability and automates processes that use large volumes of text and images.
  • Robots work with existing applications and systems that an organisation has, which enable fast-tracking to digital transformation.
  • To assist businesses in making more data-driven decisions, Business Intelligence (BI) includes business analytics, data mining, data visualisation, data tools and infrastructure, and best practises.

Usually, cognitive agents are used to support customers/employees over the phone or via chat. To maximize efficiency, Chart Industries deployed a process automation vendor, Celonis. Using machine learning to identify patterns and irregularities, Celonis’s technology identifies business accounting processes and determines and performs the corresponding processes.

What is the cognitive process of AI?

Artificial Intelligence

Cognitive Computing focuses on mimicking human behavior and reasoning to solve complex problems. AI augments human thinking to solve complex problems. It focuses on providing accurate results. It simulates human thought processes to find solutions to complex problems.