Distributed AI Inferencing in Telecoms Networks – Case Studies | Webinar Recording
AI inferencing at the edge is reshaping how telecoms operators optimize networks, deliver enterprise solutions, and unlock new revenue opportunities.
In this webinar, experts from NVIDIA, Dell Technologies, and AT&T joined GSMA Intelligence to explore real-world case studies and outcomes of distributed AI inferencing in telecoms networks.
Originally aired: September 25, 2025
Duration: 1 hour
What you’ll learn
- AI in Telco Networks – How AI inferencing creates value at the telco edge, from troubleshooting to new service models.
- Edge Computing Benefits – Why latency, resiliency, and data sovereignty matter in AI deployments.
- Case Studies – Real-world examples from NVIDIA, Dell, and AT&T across enterprise, RAN, and device edge AI.
- Edge AI Calculator – Live demo of a new tool co-developed by Dell and NVIDIA to simulate the benefits of AI use cases.
- Commercialization and ROI – Proven models for monetizing AI-driven services and accelerating returns.
- Future Outlook – How collaboration and continuous iteration will drive the next phase of telco AI innovation.
Speakers
- Tim Hatt, Head of Research & Consulting, GSMA Intelligence
- Chris Penrose, Global Head of Telco Business, NVIDIA
- Manish Singh, CTO Telecom Systems Business, Dell Technologies
- Mike Van Horn, Area Vice President, Product Development & Management, Internet of Things, AT&T
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