Telecom AI Unlocked

From Strategy to Deployment
1. Auflage 2027
ISBN: 978-1-041-23196-7
Verlag: Taylor & Francis Ltd

Buch, Englisch, 304 Seiten, Format (B × H): 156 mm x 234 mm

Telecom AI Unlocked is an independent guide to artificial intelligence in telecommunications, helping telecom operators turn AI ambition into measurable results. Covering AI adoption, network operations, customer experience, automation, governance, and deployment, it shows how to move from boardroom strategy to production at scale.

Written as three books in one, it serves the executive who decides, the leader who delivers, and the practitioner who builds. The book examines what major operators tell the press and analysts about AI versus what they report in audited filings, maps telecom AI use cases to real evidence, and provides practical frameworks for deciding where to invest. It also connects use cases to model families, telecom datasets, and deployment methods, while addressing MLOps, model drift, changing network environments, and the realities of agentic AI. Throughout, it emphasizes judgment, governance, and commercial discipline as much as technical capability.

This is an essential resource for telecom executives, product and delivery leaders, data scientists, and students of applied AI. In a market crowded with AI hype, vendor claims, and pressure to invest quickly, Telecom AI Unlocked offers a clear, commercially grounded roadmap for operators seeking competitive advantage, smarter investment decisions, and lasting value from AI.

Zielgruppe

Postgraduate, Professional Practice & Development, Professional Reference, and Professional Training

Autoren/Hrsg.

Ferrando-Llopis, Roman

Más, Ignacio

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Medien-, Informations und Kommunikationswirtschaft Informationstechnik, IT-Industrie
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik

Inhaltsverzeichnis

Introduction

Part I: The Opportunity and the Problem

Chapter 1: AI’s Moment in Telecom

Chapter 2: Why Telcos Struggle with AI

Chapter 3: Where are we?

Part II: The C-Level Compass

Chapter 4: AI as a Board-Level Strategic Imperative

Chapter 5: Leadership and Culture for AI Success

Chapter 6: The Owner of AI in Practice

Chapter 7: The Hidden Cost of Gen AI and the impact on AI ROI

Part III: Introduction (v2)

Chapter 8: Introducing AI into the Operator: How, and Where

Chapter 9: From Use Case to Production

Chapter 10: Ecosystem Orchestration

Chapter 11: Productising AI: Turning Capability into Revenue

Part IV: Introduction

Chapter 12: Telecom Data 101

Chapter 13: Modeling Approaches for Telco AI

Chapter 14: MLOps in Telecom

Chapter 15: From PoC to Telco-Grade AI

Part V: Introduction to Part V

Chapter 16: Agentic AI in Telecom

Chapter 17: Sustainability, Economics and Regulation of AI

Über Autor(innen)

Roman Ferrando-Llopis
Roman Ferrando is the Founder and CEO of Thingbook Technologies, a Dublin-based company behind DriftMind, a forecasting and anomaly detection engine for streaming and IoT data. He has over 25 years of telecom experience, including research and product management roles at Ericsson Research, Oracle Labs and Amdocs. Roman holds a PhD in machine learning and an MBA from the Wharton School, and is a named inventor on multiple granted patents in real-time data analytics applied to telecom environments. He is the author of a 2013 book on data analytics for next-generation telecom networks and co-author of the present volume.

Ignacio Mas
Ignacio Más is Ericsson Fellow in Autonomous Programmable Networks, where he oversees the evolution and technical direction of Ericsson's vision in the area across research, development and customer interactions. He has previously served as Senior Expert in OSS and Programmable Network Architecture and as Head of Technology Strategy in OSS, and has represented Ericsson on the Linux Foundation Networking board of directors and in the TM Forum collaboration subcommittee. He holds a PhD in Telecommunications from the Royal Institute of Technology (KTH, Sweden) and Master of Science degrees from both KTH and the Universidad Politécnica de Madrid. Since joining Ericsson in 2005 he has worked on IETF standardisation, IPTV, messaging and media architectures in Ericsson Research, and later led the company's evolution towards a flexible, programmable network architecture built on software-defined networking and cloud-native principles.