Analytical and AI capability of substantive scale is now available to organisations across the global operating environment — including the emerging-economy contexts within which substantial fractions of contemporary global activity operate. The capability does not deploy itself.
Substantive analytical leadership is the principal determinant of whether the cumulative AI investment produces sustained contribution or dissipates across the period following the initial deployment. This book provides the framework that contemporary analytical leadership requires.
Across twelve chapters organised into six parts, Leading with Analytics and AI develops the cumulative apparatus operating from the foundational positioning of the analytical leader, through the technical and methodological architecture, the disciplines of measurement, governance, and risk, the visualisation and communication architecture through which analytical work reaches the broader organisation, the integration with sustainability and strategic decision-making, and the leadership disciplines through which the analytical apparatus operates across the strategic horizon.
The book is distinctive in four ways.
It is written from the emerging-economy perspective — the analytical leader operating principally outside the developed-economy contexts that dominate the contemporary practitioner literature.
It develops a substantive running case — Elastic Company, Thai textile manufacturer — across all twelve chapters, illustrating the cumulative apparatus in operation across a five-year horizon, with the closing chapter returning to validate the original strategic direction against the operational record.
It draws case material from twenty-four globally significant organisations, including DHL, Capital One, Microsoft, NVIDIA, BlackRock, JPMorgan Chase, DBS Singapore, Grab, Ping An, and Tata Consultancy Services — deliberately combining globally recognised cases with substantive Asia-Pacific and emerging-economy cases.
And it integrates technical content with substantive organisational content — the integration that contemporary analytical leadership practice operates through, and that purely technical or purely organisational treatments alone cannot provide.
Who this book is for. Leading with Analytics and AI is designed as both an MSc-level textbook and a senior-practitioner reference. It serves postgraduate students of analytics and AI leadership, practitioners engaged with analytical and AI activities — Chief Data Officers, Chief Analytics Officers, Heads of Analytics, AI Risk Officers — and senior executives and board members whose responsibilities include the oversight of analytical and AI matters.
What the complete edition contains. Twelve chapters across approximately 540 pages. Twenty-four global and regional case studies. One cumulative running case. Two authoritative templates designed for direct practitioner application. 144 critical thinking questions. A consolidated glossary, bibliography, and index.
The contemporary moment requires the substantive analytical leadership that the cumulative practitioner community is developing across many organisational contexts. This book provides substantive material for that development.
