The transformation of Mobile Telecoms with AI
About
This lecture will examine the growing intersect between AI and mobile telecommunications, describing how AI is being applied in different areas of the sector. It will explore practical applications of AI across four key areas – Network operations, devices, consumers and the operator’s workforce. Topics will include utilising AI to manage customer experiences, improve workforce efficiency and improve network efficiency through automated configurations as well as advanced RAN digital twins. The lecture will also explore AI’s role in consumer devices, driving a shift towards app-less phones.
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Continuing Professional Development
This event can contribute towards your Continuing Professional Development (CPD) hours as part of the IET's CPD monitoring scheme.
26 Jun 2026
2:00pm - 3:30pm
Organiser
- London Local Network
Registration information
If you wish to attend this lecture, please book a place on the IET website.
During the booking process you will have the opportunity to pre-book an optional lunch at Savoy Place. The cost for a two-course meal with wine is £27.60.
Reservations for lunch can be made up to 11pm on the Monday prior to the event (subject to availability).
Attendees should go to the Faraday Library reception on the 2nd floor.
Speakers
Nishita Hathi
Visiting Lecturer - University College London and Warwick Business School
Nishita Hathi has over 20 years of experience in the development and commercial deployment of mobile network design, planning and optimisation solutions for more than 100 mobile operators worldwide. She has held senior technical and product roles across four organisations: Aircom International, Fujitsu, Viavi and Teoco.
Her current focus is on the next phase of industry transformation, specifically the application of AI in mobile telecommunications and product management. As a guest lecturer at University College London and Warwick Business School she bridges theory with practice by showcasing real-world applications of AI in product management and mobile networks.
Nishita holds a PhD, MRes and BEng from University College London.
Reasons to attend
· Gain an understanding of how different AI technologies—such as Machine Learning, Generative AI, and Computer Vision—are being applied across a range of telecoms use cases.
· Learn about the latest real-world deployments and trials of AI, including how it is being used to reduce costs and create new revenue opportunities.
· Explore the work being carried out by key industry consortia and standardisation bodies shaping the future of AI in mobile telecommunications.
Programme
This lecture is preceded by an optional lunch, which is served at 12.00, providing an opportunity to network with colleagues prior to the lecture.
14:00 – The lecture starts promptly at 14:00
14:45 approximately – Questions and discussion
15:30 - Networking time in the Faraday Centre.