Developing an AI Strategy:
a Primer

The book Developing an Analytic Strategy: A Primer should be useful for anyone developing an AI or analytic strategy. It is designed to be self contained and provides short introductions to analytics and to strategy.

It covers seven standard strategy tools and frameworks that have been adapted or explained in the context of analytics and AI, including: analytic SWOT, Analytic Ansoff Matrix, Porter’s Five Forces, Blue Ocean Analysis, the Analytic Experience Curve, and PESTEL analysis.

The primer also covers specialized tools and frameworks to support analytic strategy, including the Analytic Diamond and the Analytic Value Chain.

You can find a table of contents here.

The book has three main parts: Part I covers developing an analytic strategy. Part II discusses implementing an analytic strategy, and Part III contains sample outlines of five common ways of organizing an analytic strategy plan.

You can purchase it as downloadable pdf from

The Structure of Digital Computing:
From Mainframes to Big Data

An intriguing study of data and how it has evolved, ‘The Structure of Digital Computing’ is well worth considering, highly recommended.
The Midwest Book Review

Fascinating insights into the past, present and future of computing.
Kirkus Reviews

“If you have ever wondered whether there is any structure beneath all the noise in the marketplace about computing, this is the book to read.”
Stuart Bailey, Founder and CTO of Infoblox

“Reading this book will help you understand the basic concepts and trends that have shaped computing for the past half century and that will continue to do so for the forseeable future.”
Joel J. Mambretti, Director of the International Center for Advanced Internet Research at Northwestern University

The Structure of Digital Computing takes a fifty year perspective on computing and discusses what is significant, what is novel, what endures, and why it is all so confusing. The book tries to balance two point of views: digital computing as viewed from a business perspective, where the focus is on marketing and selling, and digital computing from a research perspective, where the focus is on developing fundamentally new technology.

The book divides the last fifty years of computing into five eras and discusses some of the forces that transitions us from one era to another.

The book has five chapters:

  1. The Five Eras of Computing
  2. Commoditization: Beyond Moore’s Law
  3. Technical Innovation vs Market Clutter
  4. Technology Adoption Cycles
  5. The Era of Data

Chapter 1 describes the first four eras of computing. Chapter 5 is a non-technical introduction to big data. You can download both chapters from (see the tab labeled samples). This site also contains some additional information about the book.

The book is available from Amazon and more information is available from the book’s web site