NWDAF solution carries 5G network value firmly into Business Operations

CSP data holds value beyond network operations, meaning that NWDAF can be part of the broader analytics and data democratisation strategy. Now, everybody in an organisation can start working with data and AI tools comfortably, irrespective of their technical know-how. This can drive data-informed decisions across the business and help to build customer experiences powered by data.

"It's important that the NWDAF, in addition to aligning with 3GPP specifications, comes with a set of common and reusable platform services such as APIs and AI platform components that enable continuous lifecycle management of all AI models running within it. These components can be consumed by additional use cases, beyond those defined and standardised by 3GPP," explained Adaora Okeleke, Principal Analyst Data, AI and Development Tools Cloud and Platform Services at Analysys Mason. "Several 5G network monetisation opportunities lie in the B2B domain and accessing them will require the NWDAF becoming a part of a CSP's broader advanced analytics ecosystem. It provides key data and intelligent insights that will enable discovery and management of new 5G enterprise use cases." 

"SAS and DigitalRoute are frontrunners and experts in our respective areas, with extensive experience in building revenue and operational solutions for telecoms that now include NWDAF and automated operations," said Sasa Crnojevic, Network AI & Machine Learning Business Principal, at SAS. "We understand the value and difference a flexible, vendor-agnostic, and easily configured low code / no code solution provides to the bottom line and how it supports democratisation of data and AI across the enterprise." 

The NWDAF architecture supports this approach because of two major components, data management and analytics services, which when disaggregated, mean the NWDAF can coexist with a company's end-to-end data analytics architecture. Therefore, CSPs can benefit in many ways, including:

"Networks have always carried tremendous amounts of valuable data, and not until now, due to advances in machine learning and data science, was it possible for telecommunication providers to use this data to improve their business offerings," said DigitalRoute CTO Demed L'Her. "DigitalRoute has always been the gold standard in extracting and processing data at scale. Similarly, SAS has set the standard for deriving intelligence from oceans of data. This combination is a perfect match of two technology giants, each expert at their craft; both focused on NWDAF and its possibilities."

New monetisation opportunities will arise for CSPs with NWDAF. For example, in the manufacturing industry  Volvo Trucks and Mack Trucks have, thanks to processing sensor data from the trucks, maximised vehicle uptime and minimised the costs of service disruptions by reducing diagnostic time by 70% and repair time by 25%. Benefits like these are something that CSPs can enable with NWDAF and this will in return generate new revenue opportunities by selling more advanced and value-based services beyond just connectivity. 

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