HCL launches AI-based testing automation platform for communication service providers

HCL TURBO integrates with existing testing tools and equipment and delivers intelligent test planning in which Internet bots utilize AI and analytics to plan test scenarios and provide automatic test orchestration

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The homegrown IT consulting firm (HCL) has announced the launch of , an artificial intelligence (AI)-based, end-to-end testing automation platform, aimed at . HCL TURBO integrates with existing testing tools and equipment and delivers intelligent test planning in which Internet bots utilize AI and analytics to plan test scenarios and provide automatic test orchestration, said the company.

“The emergence of virtualized and software-defined networks has significantly complicated network testing and fragmented accountability,” said GH Rao, President of Engineering and R&D Services, .

He added “HCL is directly addressing this shift by introducing an AI-based test lifecycle automation platform that seamlessly integrates into existing testing environments. HCL TURBO automates all phases of the test lifecycle from planning and execution to reporting and works seamlessly across networks, devices, and application testing. It can be deployed in the cloud, on-premise, or in hybrid environments.”

“In a beta customer deployment, a leading service provider reduced operational expenditures by 30 percent by re-using and integrating with their existing test infrastructure,” said Rao.

Agreeing with Rao, Curtis Price, Vice President, Infrastructure Services, IDC said that as service providers invest in new technologies as part of their digital transformation, they are increasingly looking for testing solutions that help minimize the risk associated with deploying new technology.

“HCL TURBO utilizes AI, analytics, and automation to offer significant advances over traditional testing solutions. TURBO provides a comprehensive end-to-end network testing solution for networks, devices, and applications that allows service providers to reduce technology risk, reduce operational expenditures, and accelerate time-to-market for new service launches,” he added.

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