NIIT Technologies has announced the launch of a new cloud-based solution, Cognitive Service Desk Audit, built on Microsoft Azure platform. The solution is said to play a major role in enhancing the productivity of enterprises by increasing operational efficiency, reducing audit efforts and improving quality and vigilance.
Cognitive Service Desk Audit uses AI to define the tonality of the end-user through text mining and analytics. The software also audits the staff’s voice and accent quality, resolution accuracy, and process adherence audit to provide quality output. Additionally, to minimise errors in understanding the end user party during the conversation, the solution also provides real time on-screen speech transcription of the online phone conversation.
Vamsi Rupakula, Global Head – IMS & Cloud at NIIT Technologies, stated, “We are dedicated towards boosting the client business by engaging at the intersect of deep domain expertise and emerging technologies. Our teams have designed the Cognitive Service Desk Audit on the Microsoft Azure platform to increase the productivity of the end user in the enterprise. The solution helps to minimise human errors, enhances quality, improves productivity, and delivers real-world business impact.”
Rajiv Sodhi, General Manager partner Ecosystem at Microsoft stated, “Microsoft AI based cognitive services are easy to integrate, and enable applications, websites and bots to see, hear, speak, understand and interpret user needs through natural methods of communication. Our collaboration with NIIT Technologies will enable businesses to add new capabilities to their audit process, and enhance customer engagement, using Microsoft’s AI platform and the trusted Microsoft Azure cloud.”
NIIT Technologies has been a Microsoft Partner for nearly two decades. The two have jointly enabled large enterprises transform in a rapidly changing IT landscape. The Cognitive Service Desk Audit is another offering that has leveraged the Microsoft platform to aid the clients to seamlessly move their business applications to the cloud while managing and operating at scale.
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