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Real World AI : A Practical Guide for Responsible Machine Learning
How can you successfully deploy AI?
When AI works, it's nothing short of brilliant, helping companies make or save tremendous amounts of money while delighting customers on an unprecedented scale. When it fails, the results can be devastating.
Most AI models never make it out of testing, but those failures aren't random. This practical guide to deploying AI lays out a human-first, responsible approach that has seen more than three times the success rate when compared to the industry average.
In Real World AI, Alyssa Simpson Rochwerger and Wilson Pang share dozens of AI stories from startups and global enterprises alike featuring personal experiences from people who have worked on global AI deployments that impact billions of people every day.
AI for business doesn't have to be overwhelming. Real World AI uses plain language to walk you through an AI approach that you can feel confident about—for your business and for your customers.
When AI works, it's nothing short of brilliant, helping companies make or save tremendous amounts of money while delighting customers on an unprecedented scale. When it fails, the results can be devastating.
Most AI models never make it out of testing, but those failures aren't random. This practical guide to deploying AI lays out a human-first, responsible approach that has seen more than three times the success rate when compared to the industry average.
In Real World AI, Alyssa Simpson Rochwerger and Wilson Pang share dozens of AI stories from startups and global enterprises alike featuring personal experiences from people who have worked on global AI deployments that impact billions of people every day.
AI for business doesn't have to be overwhelming. Real World AI uses plain language to walk you through an AI approach that you can feel confident about—for your business and for your customers.
- GenresArtificial Intelligence
145 pages, Kindle Edition
Published March 16, 2021
46 people are currently reading
376 people want to read
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Displaying 1 - 18 of 18 reviews
September 12, 2021
Tons of real world cases regarding AI projects. Well summarized and written by knowledable person !
June 14, 2021
Provide a good overview of what it takes to push an AI project to production, from a more general point of view rather than just the technical side (i.e. considering also the business and executive point). The chapters are short and descriptive, with several easily recognisable case studies from well known companies illustrating the points introduced. This is a great book to read if you would like to work on an AI project or want to know more about it, especially for product owners or managers/executives.
March 19, 2021
I really enjoyed this book. It contains a great mix of stories of successes and mistakes for the reader to learn from. I was particularly interested in ethics and AI, which was discussed in both theory and practice. It teased out how race and gender bias can get built into machine learning and I think there is great opportunity for the social sciences here to demonstrate the bias in our everyday information - look what happens when we send a machine out to read it and reflect back to us what our public discourse said! the technique of having to actively build instructions for machines to counter racism and sexism could also provide some useful insight into how to tackle these issues more broadly.
The other ethical area I'm interested in is the repetitive low skilled jobs that will be and are being lost due to AI. How do we find new ways to access a living for people who don't have the skills to compete in the new job market? This book did not set out to answer this question, and does not, but I'm still interested in it.
Overall the explanations and examples helped me to think through where are the best places in my organisation for AI to help us solve problems. I particularly liked the worksheets and links to further resources. There is a lot of focus on how to get started, but also what is needed for success and how to manage processes as you get further down the AI path.
It is refreshing to have a book that is approachable for non-data scientists about how to work with AI.
The other ethical area I'm interested in is the repetitive low skilled jobs that will be and are being lost due to AI. How do we find new ways to access a living for people who don't have the skills to compete in the new job market? This book did not set out to answer this question, and does not, but I'm still interested in it.
Overall the explanations and examples helped me to think through where are the best places in my organisation for AI to help us solve problems. I particularly liked the worksheets and links to further resources. There is a lot of focus on how to get started, but also what is needed for success and how to manage processes as you get further down the AI path.
It is refreshing to have a book that is approachable for non-data scientists about how to work with AI.
December 31, 2021
If your company has plans to use AI as a part of commercial product or internal improvement, or are having issues effectively putting it to use, this book is fundamental reading. No matter how you deploy machine learning you are deploying bias at scale. Think about that!! The Peter Parker principle is definitely in effect here.
This fact means you need too deeply understand what a good AI strategy looks like both at the strategic and implementation level. The decision to harness this technology for your business or organization is a step into the future, but you must also make a commitment to do the requisite work necessary to use it ethically and sensibly.
It’s really hard to do right. Put another way, you need a focused strategy in order to make it work. I learned that only 20% of AI pilots in the real world make it to production. Choosing a narrow problem that has business importance is absolutely critical. It takes a strong cross-functional team to effectively bring meaningful AI to market. This book will help you understand what that process looks like.
This fact means you need too deeply understand what a good AI strategy looks like both at the strategic and implementation level. The decision to harness this technology for your business or organization is a step into the future, but you must also make a commitment to do the requisite work necessary to use it ethically and sensibly.
It’s really hard to do right. Put another way, you need a focused strategy in order to make it work. I learned that only 20% of AI pilots in the real world make it to production. Choosing a narrow problem that has business importance is absolutely critical. It takes a strong cross-functional team to effectively bring meaningful AI to market. This book will help you understand what that process looks like.
June 6, 2021
A short book full of good advice on how to start using AI in your business. The authors go through all the checklist, from the more technical side: getting and curating the data, model training, model deployment and monitoring, to the business side: asking the right questions, choosing the right business metric to evaluate, and much more. The book also touches on ethics and security aspects of AI models. In addition to all the good tips, the authors provide the readers with a lot of examples (both good and bad) of AI system in companies and share some of their own personal successes and failures.
July 20, 2021
Great book!
This is a very concise and easy-to-understand book. If you want to understand how to implement AI to add value to your business, without diving into all the jargons and complicated stuff, then this is the right book to start.
Also, many of the concepts outlined in this book applies not only to AI projects, but to any other project that a company is considering to carry out as a way to improve its value to customers.
I really enjoyed it and recommend it to everyone interested in this topic.
This is a very concise and easy-to-understand book. If you want to understand how to implement AI to add value to your business, without diving into all the jargons and complicated stuff, then this is the right book to start.
Also, many of the concepts outlined in this book applies not only to AI projects, but to any other project that a company is considering to carry out as a way to improve its value to customers.
I really enjoyed it and recommend it to everyone interested in this topic.
March 19, 2021
I enjoyed this book. It describes risks of deploying AI in the real world across many categories: ethics, technical, precision and recall, working with data scientists, keeping business focus, etc. I recognized many of the example from news accounts. Good recommendations about how to mitigate these risks. Unfortunately no equations.
Fortunately no time devoted to AI taking over the planet. See Max Tegmark’s great book of you want to go there.
Fortunately no time devoted to AI taking over the planet. See Max Tegmark’s great book of you want to go there.
June 27, 2021
Most books on AI are all about gloating the capabilities of AI as a technology, but of late, the key issues is about how does the fancy tech / play toy translate into solving real world AI and provide crucial benefits to the business and the society at large? This books offer a very good starting point in totally non-technical language.
April 5, 2021
Real World AI does an excellent job with helping us to think about responsible uses of data. Presented with clarity and a path forward to achieve ethical outcomes, Alyssa does an amazing job here and with prose that is both enlightening and inspiring.
Perry Beaumont
Perry Beaumont
December 24, 2021
Simplistic view of AI in a business environment. Very few examples and generalist frameworks which widely apply to any IT development. Good book for beginners, not a “must” if you are in the AI industry, already.
April 11, 2021
Very practical advice
Great to get a basic understanding and good pointers on pitfalls to avoid, will worth the money. If you're starting on a project be sure to read first.
Great to get a basic understanding and good pointers on pitfalls to avoid, will worth the money. If you're starting on a project be sure to read first.
June 15, 2021
Great book bridging ML and business perspectives. Ethics chapters were very interesting as well and a key thing to keep in mind with any ML model.
August 24, 2021
A good focus on practical insights gained from the experience of the authors. Light hearted and easy to read. Recommend.
December 7, 2021
Great leap forward for our project
I am glad I read this prior to our project. This book and the knowledge provided gives the project and thus my career an advantage. Thank you
I am glad I read this prior to our project. This book and the knowledge provided gives the project and thus my career an advantage. Thank you
October 1, 2022
Insightful
Smooth take on a modern and complex topic. This book breaks down the concept into chunks and wraps it well at the end.
Smooth take on a modern and complex topic. This book breaks down the concept into chunks and wraps it well at the end.
January 4, 2023
Required for MBA program, but still interesting data and focused on people also not in the AI field and their role in implementing AI.
March 29, 2023
This is a helpful 101 for folks interested in working with ai teams. It’d be most helpful to a PM in their first year.
However it gets oddly repetitive and at other times it doesn’t go deep enough with examples.
Still, I haven’t found a better intro to biz facing users of ai and I recommend it to budding pms.
However it gets oddly repetitive and at other times it doesn’t go deep enough with examples.
Still, I haven’t found a better intro to biz facing users of ai and I recommend it to budding pms.
September 21, 2022
If you’re using AI in your business, read this book for both general and technical advice and insights.
Displaying 1 - 18 of 18 reviews