AI in Telecom 2025: Strategic Directions – Revenue Innovation vs Network Efficiency скачать в хорошем качестве

AI in Telecom 2025: Strategic Directions – Revenue Innovation vs Network Efficiency

AI is reshaping the telecom industry, but not all change is equal. In this video, we explore the two strategic directions for AI in telecom: revenue innovation vs network efficiency. You’ll discover: • Cost-saving AI in telecom: predictive maintenance, traffic management, and network optimisation • Revenue-driven opportunities powered by 5G, network slicing, network APIs, IoT, and SaaS • Real-world operator examples: SK Telecom, Telkomsel, DoCoMo, Rakuten, Swisscom, and MásMóvil • The four layers of AI impact in telecom: automation, prediction, augmentation, and creation • Why innovation is less predictable, more complex, and requires human strategic judgement 📌 Whether you’re in telecom, product management, or technology strategy, this video gives you a clear roadmap of AI’s impact on the future of mobile networks. 00:00 Introduction - AI's Two Strategic Tracks 01:56 What's Happening with AI in Telecom Right Now 02:48 NVIDIA Survey Results - Claims vs Reality 03:30 Cost-Saving AI Examples (Nokia, NTT DoCoMo, Rakuten) 05:26 Revenue-Focused AI Examples (SK Telecom, Telkomsel) 07:26 The Four Layers of AI Impact Framework 09:44 Standardised vs Complex Input - Key Insight 11:04 Why Revenue Opportunities Are Different 12:23 The AI Convergence - SaaS Growth & Network APIs 15:00 Two Paths Forward - Innovation vs Efficiency #telecomstrategy #aistrategy #5gmonetization #networkbusiness #telecomtransformation #telecominnovation #FutureOfTelecom#TelecomVision#digitalstrategy #NetworkStrategy Sources: NVIDIA 2025 Survey, Nokia/stc Saudi Arabia, Rakuten Mobile, MásMóvil/Ericsson Spain, Swisscom/Ericsson Switzerland, NTT DoCoMo Japan, SK Telecom, Telkomsel, McKinsey Network API Market study, AI-Created SaaS Market report