This seminar is designed for technical executives and senior leaders in the telecom sector who need to make informed strategic decisions around the adoption and integration of Artificial Intelligence (AI) technologies. From foundational concepts to practical deployments, the course bridges the gap between strategic vision and technical implementation.It emphasizes real-world use cases, best practices in AI lifecycle management, deployment models (edge/cloud), ethical considerations, and insights into how leading operators and vendors are using AI to achieve network intelligence, network autonomy, and monetization. Seminar Objectives At the end of this 2-day seminar, participants will be able to:- Understand how AI is reshaping the telecom value chain, from infrastructure to services- Identify and prioritize high-impact AI use cases across RAN, Core, Transport, and CX- Analyze successful AI implementations by leading vendors and operators- Gain insights into AI-driven network intelligence, automation, and customer experience enhancement- Build clarity on the technological landscape, platforms, and frameworks enabling AI in telecom- Build an organisational and talent plan for AI driven operations- Quantify ROI using a TCO/NPV toolkit and craft a phased investment roadmap towards 2030- Align AI opportunities with business outcomes, regulatory context (IMDA, PDPA, EU AI Act), and operational KPIs- Build a forward-looking view on next-gen AI architectures, platforms, agentic integration and tooling, risks and security Day 1 & 2 Slides AI Strategy in Telecom - Building an Actionable Roadmap.pdf Use Case Prioritisation & ROI