
Dr Rajesh Kumar Sharma
Deputy General Manager

Moderator: Frank Ford, Partner, Bain
15:45 - 16:00
Introduction and welcome
Separating fact from fiction on the quantum timeline – when will quantum computing become viable, and what does it mean for CSPs today?
16:00 - 16:20
Case study: From experimentation to strategy
Rajesh Sharma, General Manager, RIL
16:20 – 16:40
Quantum safe: Understanding the risk and how to manage it
Lory Thorpe, Quantum Safe Industry Lead, IBM
16:40 - 17:15
Panel: From theory to operational reality
From theory to operational reality – how should CSPs balance innovation, regulation, and national security expectations in a quantum-enabled world?
Moderator: Frank Ford, Partner, Bain
Rajesh Sharma, General Manager, RIL
Lory Thorpe, Quantum Safe Industry Lead, IBM
All timings are provisional and may be subject to change.

Deputy General Manager


Partner


Quantum Safe Industry Lead


Join the Trustworthy AI & Data Garage for hands-on teamwork with leading minds in AI, analytics, and data strategy.

Step into the Composable IT & Ecosystems Garage to build, test, and refine modular IT solutions alongside fellow innovators.

BY INVITATION ONLY - This is a private, peer-only executive forum for CTOs (service providers only) operating under the Chatham House Rule.

Dive into the Autonomous Networks Garage to work shoulder-to-shoulder with top network experts.

BY INVITATION ONLY - This is a private, peer-only executive forum for CIOs (service providers only) operating under the Chatham House Rule.


Explode into TM Forum’s Composable IT revolution: Discover why we need to reinvent IT now and how? Vodafone’s AI CX mastery topping IT4C charts, STC’s business architecture triumphs, and Greece BSS going fully AI-native on ODA. Grab the blueprint to dominate AI-driven transformation.




Discover how to move autonomy from pilot projects into mission-critical operations.

Redefining accountability, governance, and human oversight in AI-driven systems

Shining a light on AN pioneers and frontrunners leading the way with autonomous networks and proving the efficacy of AN deployments at scale.


