Assurance reimagined: How AI/ML & GenAI are changing the rules

In this webinar, we explore how AI/ML and GenAI are changing the rules, empowering CSPs to reimagine service assurance.

 Key areas of discussion include:

Analyst:
Gabriel Brown
Senior Principal Analyst, Mobile Networks, Heavy Reading
Gabriel leads mobile network research for Heavy Reading. His coverage includes system architecture, RAN, core, and service-layer platforms. Key research topics include 5G, open RAN, mobile core, and the application of cloud technologies to wireless networking.

Gabriel has more than 20 years’ experience as a mobile network analyst. Prior to joining Heavy Reading, he was chief analyst for Light Reading’s Insider research service; before that, he was editor of IP Wireline and Wireless Week at London's Euromoney Institutional Investor.

Speakers:
Yuval Stein
Director of Products Technologies & Solutions
With over 15 years of experience in service assurance, Yuval Stein has held key product management roles. His expertise spans fault, performance, and service domains, and he skillfully tailors service assurance solutions to industry challenges. Recently, Yuval has been focusing on AI-based Service Assurance solutions. He has also led various TM Forum standardization activities related to OSS in areas like Open Digital Architecture (ODA) and Autonomous Networks over the past decade.

 Asher Besserglick
AI Software Principal
Asher brings a dynamic career that stretches over twenty years in the field of software development cross Telecom, Security and Energy industries. Holding prominent leadership roles at distinguished companies including SolarEdge Technologies, Imperva, ECI Telecom, and BigBand Networks. He has consistently demonstrated his expertise in architecture, product management, and R&D. Asher's track record highlights his pivotal contributions to the development and execution of strategies within various organizations. Notably, he possesses a comprehensive understanding of software development, emphasizing expertise in data, data security, and artificial intelligence.