Cognitive computing: Using tech to improve quality of work
The new NIIT Tech solution, based on Microsoft Azure, uses AI to enhance productivity and quality.
Cognitive Computing – NIIT Technologies has introduced a new cloud-based solution, Cognitive Service Desk Audit, built on Microsoft Azure platform. The solution is designed 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 (Artificial Intelligence) 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.”
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, says Rajiv Sodhi, general manager partner Ecosystem at Microsoft. “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 taken the lead in implementing the solution and deployed it internally to further develop it from experience and make it better to benefit the clients. It (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.
This article originally appeared on financialexpress.com To read the full article, click here.
Nastel Technologies uses machine learning to detect anomalies, behavior and sentiment, accelerate decisions, satisfy customers, innovate continuously. To answer business-centric questions and provide actionable guidance for decision-makers, Nastel’s AutoPilot® for Analytics fuses:
- Advanced predictive anomaly detection, Bayesian Classification and other machine learning algorithms
- Raw information handling and analytics speed
- End-to-end business transaction tracking that spans technologies, tiers, and organizations
- Intuitive, easy-to-use data visualizations and dashboards
If you would like to learn more, click here.
Nastel Technologies is the global leader in Integration Infrastructure Management (i2M). It helps companies achieve flawless delivery of digital services powered by integration infrastructure by delivering Middleware Management, Monitoring, Tracking, and Analytics to detect anomalies, accelerate decisions, and enable customers to constantly innovate, to answer business-centric questions, and provide actionable guidance for decision-makers. It is particularly focused on IBM MQ, Apache Kafka, Solace, TIBCO EMS, ACE/IIB and also supports RabbitMQ, ActiveMQ, Blockchain, IOT, DataPower, MFT and many more.
The Nastel i2M Platform provides:
- Secure self-service configuration management with auditing for governance & compliance
- Message management for Application Development, Test, & Support
- Real-time performance monitoring, alerting, and remediation
- Business transaction tracking and IT message tracing
- AIOps and APM
- Automation for CI/CD DevOps
- Analytics for root cause analysis & Management Information (MI)
- Integration with ITSM/SIEM solutions including ServiceNow, Splunk, & AppDynamics