SUSAN WHITE
EXECUTIVE INSIGHT Generative Artificial Intelligence ( Gen AI ) continues to evolve at a rapid pace across numerous key industries . As a result , businesses are keen to invest – but aren ’ t always entirely sure how .
For the telco industry in particular , AI has the potential to improve the efficiency and sustainability of operations , boost positive customer experiences and drive continued innovation . Telco business leaders stand to benefit from harnessing AI to move beyond legacy systems and enter the next era of the digital age .
With this in mind , Mobile Magazine speaks with Susan White , Head of Strategy and Portfolio Marketing at Netcracker Technology , about the impact of Gen AI within the telco industry . Susan ’ s expertise encompasses a wide range of technologies , ranging from SDN / NFV to 5G and core networks , with her core focus on developing and improving business strategies .
In this exclusive interview , she speaks about how telco operators are implementing Gen AI , how they can overcome associated challenges and what Netcracker Technology is doing to capitalise on the AI boom .
Q . HOW ARE OPERATORS CURRENTLY WORKING TO IMPLEMENT GEN AI ?
» “ Critical to driving growth and remaining competitive , operators across the globe are vested in Gen AI success . However , this is where the similarities end , especially when it comes to implementation strategies . To this
SUSAN WHITE
TITLE : HEAD OF STRATEGY AND PORTFOLIO MARKETING
COMPANY : NETCRACKER TECHNOLOGY
INDUSTRY : TECHNOLOGY LOCATION : FRANCE
With more than 20 years of experience in the telecoms industry , Susan has worked across product management , strategy and technical sales at leading companies like Nokia and AT & T . She is currently responsible for driving Netcracker Technology ’ s go-to-market strategy for solution definition , content creation and helping to generate business growth .
point , research , conducted by TM Forum , found there ’ s not a unanimous approach to Gen AI implementation .
“ Approximately half of operators plan to devise new implementation strategies , while those that employ AI and machine learning ( ML ) ( 50 %) plan to integrate Gen AI to complement their existing strategy . Implementation strategies continue to differ with 59 % opting to use an opensource cloud model and off-the-shelf large language models ( LLMs ) for quick deployment and scalability , while 32 % are electing on-premise models to mitigate data security concerns , and 21 % plan to develop their own proprietary technology .”
20 May 2024