Netcracker Technology: The new Google Cloud partner in genAI

With Netcracker now working with Google Cloud to advance the use of generative AI technology within the telecom industry, AI Magazine explores the company’s successes alongside its rapid growth
With Netcracker now working with Google Cloud to advance the use of generative AI technology within the telecom industry, AI Magazine explores the company’s successes alongside its rapid growth
Netcracker Technology, subsidiary of NEC Corporation, has recently partnered with the likes of Google Cloud to enhance generative AI across key industries

Netcracker Technology, a wholly owned subsidiary of NEC Corporation, is a provider of business support systems, operations support systems and software-defined networking and network functions virtualisation solutions. 

The company also offers professional services, as well as managed services and has recently undergone plenty of partnerships with large tech companies, including Microsoft and Google. In a world of rapid digitalisation, Netcracker aims to adapt quickly and diversify business to deliver the outcomes that their customers expect.

With Netcracker now working with Google Cloud to advance the use of generative AI technology within the telecom industry, AI Magazine explores the company’s successes alongside its rapid growth.

Independent growth has resulted in large-scale success

Netcracker Technology was co-founded in 1993 and is chaired by CEO Andrew Feinberg and VP Bonnie Ward. In 2008, after 15 years of independent growth, the company was acquired by NEC Corporation. Netcracker then became a wholly owned subsidiary of NEC.

Its innovative solutions, including its flagship cloud-native Netcracker Digital Platform, value-driven services and unbroken delivery track record helps service providers achieve their digital transformation goals

WIth these goals, in 2010, Netcracker initiated a large-scale expansion which saw NEC consolidate its Telecom Operations and Management Solutions (TOMS) software and services business.

The company has also conducted important work for the industry with Microsoft, having expanded its partnership in September 2023 to further unlock the power of generative AI. This particular telco solution is designed to leverage the power of OpenAI’s ChatGPT through Azure OpenAI Service to create high-value use cases by harnessing valuable telecom data and knowledge. 

Through its extensive expertise in telecom IT, Netcracker’s solution works to enrich ChatGPT with real-time telecom data, context and knowledge from the operators’ business support systems and operational support system (BSS/OSS) and data analytics platforms to increase productivity and provide a superior customer experience in all areas of the telecom business.

Ultimately, Netcracker offers a set of market-ready solutions that work to dramatically improve call centre efficiencies, increase the productivity of business and operational employees and to drive faster sales conversions and make quicker recommendations.

Securing generative AI access with Google Cloud

Generative AI has great potential to expand many areas of the technology sector, including the telecom business, by delivering high-quality customer care and improving business productivity with higher levels of automation. In order to meet these goals, however, generative AI models need to be secure, given that they are accessing sensitive data in key industries.

Netcracker Technology aims to offer this via its partnership with Google Cloud. By combining the Netcracker GenAI Telco Solution with Google Cloud’s Vertex AI, the goal is that communications service providers can harness their valuable telecom data and knowledge in a secure and controlled way to bring benefits to their customers, partners and their own businesses. 

Leveraging its skills and management in the telecom BSS/OSS domain, alongside Google Cloud’s skills in cloud, enterprise AI and generative AI technology, Netcracker is hoping to offer high-value use cases that leverage real-time telecom data in a secure manner. 

By enhancing generative AI models with precise telco data and instructions, and fine tuning these models, communications service providers will benefit from quality responses and resolutions of their generative AI use cases.

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