The Economic Times: Cognizant’s Executive Vice President of Business Process Services Says Intelligent Process Automation is About the Symbiosis Between a Robot and a Human to Derive the Best Outcome Within a Process

“Over the past two years, Cognizant has managed to infuse elements of machine learning, robotics automation and artificial intelligence in projects across strategic customers,” writes The Economic Times. “Cognizant has harnessed TriZetto into its most potent tool in automation solutions, widely considered to be the future for information technology services companies. TriZetto’s healthcare process automation (HPA) platform is now Cognizant’s most versatile automation platforms. Cognizant is using this as the seed to build automation capabilities across other key verticals, such as banking and financial services.”

“By implementing powerful IPA technologies—including artificial intelligence, machine learning and deep learning—we are driving significant savings, faster time to market, enhanced business insights, better regulatory compliance and transformation of core business processes to help companies become digital enterprises,” says Cognizant CEO Francisco D’Souza.

“Our recent acquisition of TriZetto has brought us some highly-talented executives and specialists in healthcare automation, and we are quickly expanding this capability into adjacent industries,” says Gajen Kandiah, Executive Vice President of Business Process Services at Cognizant.

“Cognizant’s robotics automation team has rolled out artificial intelligence-based automation across thousands of customer projects. Cognizant’s robotics automation strategy is built on three pillars—ADPART and Automatika, both of which were developed internally, and HPA, which the company got via TriZetto,” the paper highlights.

“ADPART’s patented algorithm automates the design of test cases, and by learning from past defects stored in defect libraries, it intelligently predicts the most vulnerable business processes,” says Kandiah says. “Automatika uses proprietary algorithms for natural language processing and machine learning to automate manual tasks of knowledge workers—for example, analyzing, searching, extracting, and organizing information from different unstructured sources.”

“It’s not just about the robot or...just about replacing human function, but it’s about the symbiosis between a robot and a human over the spectrum of automation and how it comes together to derive the best outcome within a process,” adds Kandiah.

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