{"id":7616,"date":"2025-12-08T09:33:06","date_gmt":"2025-12-08T09:33:06","guid":{"rendered":"https:\/\/www.tantraanalyst.com\/ta\/?page_id=7616"},"modified":"2026-04-20T15:20:56","modified_gmt":"2026-04-20T15:20:56","slug":"tantras-mantra-podcast-episode-65","status":"publish","type":"page","link":"https:\/\/www.tantraanalyst.com\/ta\/podcast\/tantras-mantra-podcast-episode-65\/","title":{"rendered":"Tantra’s Mantra Podcast – Episode 65"},"content":{"rendered":"

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00:00 – Intro<\/span><\/h6>\n
02:10 – Guest intro (Dan Warren)<\/span><\/h6>\n
03:22 – Samsung Network’s categorization of the role of AI – Networks for AI, AI for networks<\/span><\/h6>\n
04:44 – Current interesting use cases of AI – RAN energy efficiency, complex capacity, and coverage optimization<\/span><\/h6>\n
06:40 – The current status of use of AI in telecom, major industry focus areas – optimizing opex and capex, experience enhancement<\/span><\/h6>\n
09:15 – Critical role of software-based networking and virtualization in enabling AI<\/span><\/h6>\n
12:48 – Are legacy networks w\/o software-based networks out of luck for AI?<\/span><\/h6>\n
15:40 – How to decide where to run AI workload – where is the AI compute needed? <\/span><\/h6>\n
19:05 – Who will develop AI models for telecom? – proprietary vs. standard, differentiation etc.<\/span><\/h6>\n
24:35 – Dichotomy between AI differentiation, open networking, and offering AI as a service layer<\/span><\/h6>\n
26:55 – Samsung’s approach to AI as a service\/software leveraging its software-based networking legacy. Might be different for more established players?<\/span><\/h6>\n
29:06 – Does today’s architecture (e.g., SMO) have hooks for managing AI end-to-end?<\/span><\/h6>\n
30:01 – Data challenge of operators for AI – different forms, formats, sources, granularity, etc. Will things like NWDAF solve it?<\/span><\/h6>\n
31:50 – Operator understanding of the AI challenges ahead – transforming from a hardware operator to a software management company<\/span><\/h6>\n
34:36 – Is the investment needed for AI an impediment to its adoption? Worries of the fast-moving and changing AI landscape<\/span><\/h6>\n
38:46 – AI on RAN – Samsung Network’s views<\/span><\/h6>\n
40:43 – AI on RAN – operators moving from telecom service providers to AI (edge) Data Center\/infra providers – Does it make sense?<\/span><\/h6>\n
43:19 – AI timing – Will large-scale deployments wait for 6G, or can start with 5G? <\/span><\/h6>\n
45:16 – Closing<\/span><\/h6>\n

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\u00a0If you want to read more articles like this and get an up-to-date analysis of the latest mobile and tech industry news, sign-up for our monthly newsletter at\u00a0TantraAnalyst.com\/Newsletter<\/span><\/a>, or Read our Tantra Analyst Insights Articles<\/a>.<\/span><\/span><\/h6>\n

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