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Perficient Listed in Forrester Now Tech: Robotic Process Automation Services, Q4 2021

Perficient Digital Transformation

Robotic Process Automation (RPA) is the use of software to automate high volume and repetitive tasks that previously required a human to perform. Link automation to broader transformation goals. Help scale your digital workforce. Learn More About Perficient.

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Teamwork, Mentorship, and Robots: A Summer at Capgemini Government Solutions

Capgemini

Ashwinder and John’s team was tasked with applying Robotic Process Automation (RPA) to company business processes. The team was challenged to think critically about how to improve upon the company’s existing business development processes. Check out our jobs board for the latest opportunities.

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The Benefits of Bringing Automation Tools Together

Automation Anywhere

Artificial intelligence (AI) is being embedded in everything related to automation. Unstructured data is being welcomed into enterprise business processes and systems. Citizen developers are coming out of the woodwork. AI that mimics human behavior will become common and able to do the most complex tasks.

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Your guide to intelligent document processing (IDP)

Hyland

It uses AI capabilities to intelligently process information within templates, forms and documents — even when formatting is dynamic. Then IDP can convert the content into structured data, which is often further streamlined by robotic process automation (RPA). Process mining. Task mining. Invoice processing.

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50+ RPA use cases

Hyland

It’s tempting, when considering use cases for a new investment, to zoom out and look at everything the solution could possibly handle — “Imagine the ROI!” And while this approach may work to get a new implementation approved, it’s not the best way to roll out said implementation. Look to robotic process automation (RPA) as an example.

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A Practical Guide To AI Implementation Strategy For SMBs

Amzur

Consider you are relying on employees to manually administer claims or invoice processing, which is a tedious and error-prone activity. Here, your biggest challenges are tedious task automation and improving your employee’s productivity. This involves identifying opportunities where AI can: 1.

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Accelerate Development and Scaling with Low Code/No Code

Automation Anywhere

To make a functioning doorbell or lie detector or AM radio, you didn’t have to be trained in advanced circuit design or spend hours or days mapping out and testing your circuits and components. A variation of that concept has been applied to software development, including Robotic Process Automation (RPA) , with low-code/no-code technology.