With so much artificial intelligence (AI) in the headlines, it is no surprise that businesses are scrambling to exploit this exciting and transformative technology. Clearly, those who are the first to deliver business-relevant AI will gain significant advantage.
However, there is a problem! Our perception of AI success in society is primarily based on our experiences with consumer applications from the big web companies. The adoption of AI in the enterprise has been slow due to various challenges. Business applications address far more complex problems and the data needed to address them is less plentiful. There is also the critical need for alignment of AI with relevant business processes. In addition, the use of AI requires new engineering practices for application maintenance and trust.
So, how do you deliver working AI applications in the enterprise?
Beyond Algorithms: Delivering AI for Business answers this question. Written by three engineers with decades of experience in AI (and all the scars that come with that), this book explains what it takes to define, manage, engineer, and deliver end-to-end AI applications that work. This book presents:
- Core conceptual differences between AI and traditional business applications
- A new methodology that helps to prioritise AI projects and manage risks
- Practical case studies and examples with a focus on business impact and solution delivery
- Technical Deep Dives and Thought Experiments designed to challenge your brain and destroy your weekends
Authors. Acknowledgements. PROLOGUE. Chapter 1 Why This Book? Chapter 2 Building Applications. Chapter 3 It’s Not Just the Algorithms, Really! Chapter 4 Know Where to Start – Select the Right Project. Chapter 5 Business Value and Impact. Chapter 6 Ensuring It Works – How Do You Know? Chapter 7 It’s All about the Data. Chapter 8 How Hard Can It Be? Chapter 9 Getting Your Priorities Right. Chapter 10 Some (Not So) Boring Stuff. Chapter 11 The Future. EPILOGUE. INDEX.
"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
“Important and timely. A practical guide for realizing business value through AI capabilities! Rather than focusing on hard to access details of the mathematics and algorithms behind modern AI, this book provides a roadmap for a diversity of stakeholders to realize AI business solutions that are reliable, responsible, and sustainable.” -- Matthew Gaston, AI Engineering Evangelist