EXECUTIVE INSIGHT
“ Netcracker launched its Gen AI Telco Solution , which bridges any Gen AI model with the telco ’ s BSS / OSS , data analytics , and domain knowledge ”
critical incidents by 35 % and reducing performance problems by 60 %.
“ Every operator will have its unique problems to solve with Gen AI .”
Q . WHAT EFFORTS ARE YOU SEEING FROM THE TELCO INDUSTRY TO UPSKILL EMPLOYEES TO BEST HANDLE GEN AI ?
» “ A topic of boardroom discussions across the globe , operators are proactively setting up Gen AI centres and identifying families of use cases . Communications service providers ( CSPs ) are already making progress in their adoption of Gen AI with 31 % running experimentation trials to develop proof of concepts . Getting hands-on with this technology is essential .
“ Operators will need to acquire new skills in areas such as prompt engineering and retrieval augmented generation ( RAG ) to build a variety of use cases . In addition , data experts will be needed to make sure the right data is available from the systems to make the models useful .
“ Upskilling employees extends beyond just the technical teams , it needs to encompass the entire organisation to build a culture of Gen AI fluency .”
Q . HOW CAN BUSINESSES BOOST THEIR GEN AI USE CASES ?
» “ The ability for operators to realise Gen AI ’ s full potential relies on getting telecom domain knowledge and data into Gen AI models . This means enriching Gen AI models in real-time with the right data , context , instructions and knowledge – in a safe and secure way .
“ An effective method to access domain-specific information is to augment user prompts with additional information – in the form of real-time BSS / OSS data , context , and instructions . This context-prompt enrichment technique leverages technologies such as prompt engineering and RAG to provide the highest quality responses , securely work with real-time data through API calls to BSS / OSS , access up-to-date knowledge base systems , work with a mix of public and custombuilt Gen AI models and lessen the time to resolve a request .
“ Operators will also need a choice of Gen AI models . No single model will be optimal for all use cases at the right price points . Building a flexible multimodel strategy from the start will be advantageous in the long run – as this technology is evolving at a rapid rate .”
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