Full Description
As the European environment is shaped by data protection rules, sector regulation, social expectations, and increasing demands for accountability, many leaders find themselves caught between optimistic technology narratives and fragmented guidance for successful adoption. This book offers a practical and accessible guide for navigating that gap. Rather than focusing on tools or coding, it treats generative AI as a managerial and organisational challenge. It explains how these systems work at a conceptual level, then shows how they can be integrated into real business and public-sector contexts without undermining trust, legal certainty, or institutional coherence. Topics include value creation, use-case selection, lifecycle management, risk, governance, and compliance under the EU AI Act.
Written for non-specialists, the book equips executives, managers, and policy-aware professionals
with clear decision frameworks and shared language. Its central message is simple: in Europe,
successful generative AI adoption is not about moving faster, but about building systems that remain
effective, legitimate, and resilient over time.
