Beyond Algorithms : Delivering AI for Business book cover
1st Edition

Beyond Algorithms
Delivering AI for Business

  • Available for pre-order. Item will ship after May 4, 2022
ISBN 9780367613266
May 4, 2022 Forthcoming by Chapman and Hall/CRC
296 Pages 62 Color & 1 B/W Illustrations

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Book Description

When applying AI in an enterprise, there are many challenges. The available content (data) volumes are much lower and the analysis tasks for AI are often more complex. Considerable expertise is required to understand the available data, relevant domain context, and the appropriate AI algorithms to support business-critical tasks.

Beyond Algorithms: Delivering AI for Business will help business users and AI practitioners to identify good AI projects and ensure those projects are successfully delivered to support their business goals. From the collective knowledge of three of IBM’s most experienced engineers, you can learn how to define, manage, engineer and deliver AI projects that work.

Key Features:

  • Focuses on the definition, engineering, and delivery of AI solutions as opposed to AI itself
  • Reader will still gain a strong understanding of AI, but through the perspective of delivering real solutions
  • Explores the core AI issues that impact the success of an overall solution including i. realities of dealing with data, ii. impact of AI accuracy on the ability of the solution to meet business objectives, iii. challenges in managing the quality of machine learning models
  • Includes real world examples of enterprise scale solutions
  • Provides a series of (optional) technical deep dives and thought experiments.

Table of Contents

About the Authors



Why this Book?

Building Applications

It’s not just Algorithms, really!

Know where to Start-Select the Right Project

Business Value & Impact

Ensuring it Works; How do you know?

It’s All About Data

How Hard can it be?

Getting your priorities right

Some (Not so) Boring Stuff

The Future



View More



James Luke, is an Engineer with over 25 years’ experience delivering real AI solutions that solve real world problems. James is an IBM Distinguished Engineer and Master Inventor with multiple US patents in subjects relating to AI. For his PhD, James researched the application of AI in detecting previously unseen computer viruses and published 3 refereed papers. James is an experienced conference speaker and has given evidence on the development of AI to both the European Commission and the House of Lords Select Committee. In 2018, James delivered a TEDx talk entitled, “How To Survive An AI Winter” ( ). James started his career failing to deliver an AI solution for a leading Formula 1 team. This experience changed James’s understanding and perspective on what it takes to actually deliver a working AI solution. James responded to his early failure by developing new methods for the definition, design and delivery of AI solutions. He has delivered projects in multiple industries from Public Sector to Insurance and Retail. James has held a number of key positions including Chief Architect for Watson Tools, CTO of the Cognitive Practice in Europe and Leader of the IBM Academy of Technology core team on AI.

Dr. Padmanabhan (Peter) Santhanam is currently a Principal Research Staff Member at IBM Research, working to enable the engineering of AI systems in government agencies. Prior to that, Dr. Santhanam worked on several aspects of AI strategy and execution in IBM Research. He holds a Ph.D. in Applied Physics from Yale University. Dr. Santhanam worked in software engineering research for two decades, having to do with the creation of tools and methodology to improve commercial software development. His interests included software quality metrics, automation of software test generation, realistic modeling of software development processes, etc. With the re-emergence of Artificial Intelligence as a viable practical technology for business and society, Dr. Santhanam moved to the AI group in IBM Research in 2014. He has more than fifty published research papers in peer-reviewed journals and conferences in a variety of topics. He is a member of the ACM & AAAI and a Senior Member of the IEEE. He is also a Member of the IBM Academy of Technology.

David Porter is an experienced data architect and analytics expert, specialising in counter fraud and criminal detection systems. David’s twenty year career has been spent helping customers understand how artificial intelligence and advanced analytics can be applied to their business problems. He works predominantly with the Public Sector and Financial Services, focusing on the most complex security challenges of today’s society.


"Much has been written about the mechanics of modern AI - what it is, what it isn't, and how to build and train one - but this fascinating book is among the few that explain what it means for the enterprise - where it fit in to business needs, how it can be integrated into existing systems, and how it can create opportunities for new value." -- Grady Booch, IBM Fellow, Chief Scientist for Software Engineering

"I recommend Beyond Algorithms - Delivering AI for Business to anyone that is responsible for leading and transitioning AI to achieve and maintain a competitive advantage. The book addresses many of the important issues faced in the application of AI to businesses. It is written in an easy to read style, while providing enough technical content that many people working in the field can capture the main messages." -- David R. Martinez, MIT Instructor and Laboratory Fellow

"Books about AI too often tend towards the extremes -- either praising or condemning unconditionally. Beyond Algorithms offers a more nuanced, nontechnical introduction from experienced practitioners.  Filled with guiding principles and real-world examples, this book offers a balanced view of AI's strengths and limitations and provides practical advice for problem selection, project management, and expectation setting for AI initiatives." -- Emily Riederer, Senior Analytics Manager at Capital One

"Beyond Algorithmsis one of those wonderful story-driven IT books that distils decades worth of real world experience into intoxicating wisdom that is refreshingly easy to consume. The book plows through and around the hype of the 'all powerful' deep neural nets to provide an engineering approach for the field. It won’t tell you how to establish the Singularity, but it’s ‘A to I checklist’,  accuracy and monitoring advice, and ‘doability method’ could make you an AI delivery hero." -- Richard Hopkins, FREng FIET CEng, former President of IBM’s Academy of Technology