Artificial Intelligence in Practice: How 50 Successful Companies Used AI and Machine Learning to Solve Problems

by Bernard Marr

Cyber-solutions to real-world business problems

Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others.

Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning

Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.

Genres: Artificial Intelligence, Business, Nonfiction, Technology, Audiobook

366 pages, Kindle Edition

First published April 15, 2019

About the author

Best-Selling Author, Keynote Speaker and Leading Business and Data Expert

Reviews

[Alexandros · Rating 3 out of 5]

I would prefer fewer cases and more in depth analysis

[Odo · Rating 2 out of 5]

2.5/5.0

[Hind · Rating 3 out of 5]

Can’t say I learned anything I didn’t already know, but it was a good book and it’s well organized

[AttackGirl · Rating 3 out of 5]

I want the cure to cancer and the heart disease. Heart worms…
Lottery tickets, best life course, best career choice.

[Hoa Tran · Rating 2 out of 5]

This book is more like a list of 50 companies that are applying AI in their business. The structures of the books would be the challenges that each company is facing, how AI helps them to tackle these issues and what are the results. I am demanding more detailed information rather than concise summaries. Though the book was published quite recently (2019), it would soon be outdated with the pace of AI growth.

However, it is fair to say that it is still somehow essential for a normal person (without any tech-savvy like me) to realize how booming is AI nowadays. AI - too sexy a word and a trend right now will soon replace people if we are not well-equipped with the new trend and spend some time to analyze our job, which tasks will be automated and which cannot.

[Frank · Rating 5 out of 5]

This was a great book - not from a practical application standpoint, but from a vision-setting standpoint.

This book is a series of 50 case studies that explain how different companies in different industries are using AI to improve, grow, or invent opportunities. As such, this is the type of book that will be useful in my own learning designs for students to explore. I can imagine using it in a classroom setting to have groups select companies to explore.

An interesting resource.

[Ashraf · Rating 4 out of 5]

"Artificial Intelligence in Practice: How 50 Successful Companies Used AI and Machine Learning to Solve Problems" is a recommended read for people interested in comprehending the real-world usage of AI within the realm of business.

The book specifically explores how 50 different businesses managed to adopt AI and machine learning successfully in order to address challenges and enhance progress.

One of the impressive aspects of this book is the variety of examples across multiple verticals. The author has presented a plethora of instances from areas like healthcare, finance, and retail, showcasing the transformative potential of AI in various industries.

Every chapter delves into the specific issue each business was dealing with, and the measures taken to incorporate AI - making the read both insightful and engaging.

Additionally, the book does an excellent job of emphasizing the crucial considerations and potential hurdles companies must be aware of when implementing AI; such as ensuring data quality and dealing with ethical issues.

Despite the book being a little dated; most of the examples are from 2019 and before, majority of the examples and business cases are still valid and would provide a good start for people interested to further their knowledge relevant to AI field.

Altogether, this book serves as a promising resource for those wishing to understand the real-world effects of AI and its potential to boost business performance.

[Moran Danieli-Cohen]

"Artificial Intelligence in Practice: How 50 Successful Companies Used AI and Machine Learning to Solve Problems" is a must-read for anyone looking to understand the practical applications of AI in the business world. The book provides a unique perspective by focusing on the real-world success stories of 50 companies who have implemented AI and machine learning to solve problems and drive growth.

One of the strengths of the book is its diversity of examples across different industries. From healthcare to finance to retail, the authors provide a wide range of case studies that demonstrate the potential of AI to revolutionize various fields. Each chapter delves into the specific problem the company faced and the steps they took to implement AI, making it an easy and informative read.

The book also does a great job of highlighting the key considerations and challenges companies must address when implementing AI, such as data quality and ethical concerns. Overall, this book is a valuable resource for anyone looking to understand the practical implications of AI and how it can be used to drive business success.

[Paul Larripa]

DataScience and ML plan:

(0) Ace the Data Science Interview (Kevin Huo)
(1) Business Data Science
(2) Naked Statistics — Stripping the Dread From the Data
(3) Machine Learning Simplified
(4) Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow, 3rd Edition
(5) Practical Statistics for Data Scientists
(6) Elements of Statistical Learning
(7) Machine Learning Yearning
(8) Artificial Intelligence in Practice: How 50 Successful Companies Used AI
(9) Deep Learning Illustrated
(10) Deep Learning with Python
(11) Deep Learning (by Ian Goodfellow et al)
(12) Interpretable Machine Learning with Python
(13) Mastering 'Metrics: The Path from Cause to Effect

[Ru Sun · Rating 3 out of 5]

Interesting topic, poorly written.

I learned a lot from this book about how AI assisted businesses in their operations, products, and services. Very informative content. But the writing was so bad that it was distracting. I wondered if the book was written by AI, if so, I would train it not to write long complicated sentences, avoid the awkward/unnecessary adjectives and adverbs, and remove the hundreds of "as well as" throughout the book.

Oh, and Thomas Edison couldn't have set any energy industry pattern in the 18th century (chapter 42 on GE)!!

[I Read, Therefore I Blog · Rating 2 out of 5]

Bernard Marr is a futurist and author who owns a digital transformation consultancy where Matt Ward works as research lead. This shallow book (little more than a collection of press statement extracts and industry clippings) looks at how 50 companies have used AI but there’s no analysis here, no consideration of hurdles and little thought to the ethical implications, making it a disappointing read that I got little use from.

[Martti · Rating 3 out of 5]

This is not really a story book, but a status check across 50 industry leaders, a collection of press statement extracts, a database of technology stacks for the CTO looking to add "AI" or "machine learning" into his presentation to the board. Or a practical short advice on where to start when looking for inspiration on how to leverage statistical analysis and 10 layers of nested IF-THEN-ELSE statements don't really cut it anymore.

[Annemijn · Rating 3 out of 5]

Heel veel voorbeelden van bedrijven die AI toepassen, maar weinig inhoudelijke uitleg over hoe ze dat nu echt doen. Persoonlijk had ik liever het verhaal van bv 10 bedrijven gelezen en dan dieper op de toepassingen ingaan. Welke technieken worden er bv gebruikt en dan specifieker dan machine learning technieken.

[Amanda Williamson · Rating 2 out of 5]

The book accurately reviews how companies are using AI and machine learning... but it reads like a phone book. If you are looking for a strong narrative and critical thinking, then this book is not for you. If you are wanting a list of machine learning and AI uses, then this is exactly what you are looking for.

[Taylor · Rating 4 out of 5]

Exactly what I was looking for: an overview of how AI has been used in different verticals. The book is several years old, so I’d like to have an updated version for 2024. So much has gone into effect that was in the works when this was written that I’d love to know how they’re going now. Great read for those curious to where AI has been implemented and in practice for years now.

[Roberta Lynne Ruben · Rating 4 out of 5]

Very interesting discussion of how large businesses use artificial intelligence prior to Covid. Enjoyed the discussion of Tesla’s autonomously driving vehicles and their future. Machine learning and interconnectedness to make trains and automobiles.

The moral aspect of AI and new jobs are discussed and along with a description of the changing job market in the U. S.

[Keerthi Abinesh Ravikumar · Rating 3 out of 5]

It was more of a documentation/case study collection. I was hoping it to delve deep into AI but it was more of the same concept being repeated again and again in every case. It would be really informative if you are new to AI. Overall a decent read.

[Fountain Of Chris · Rating 4 out of 5]

A better-done, if somewhat less-recent, version of Davenport's "Working with AI: Real Stories of Human-Machine Collaboration". This one is the more "readable" of the two, though, if you have the time and interest, read both.

[Francisco Valiente · Rating 5 out of 5]

Great read. Very informative, couldn't put down

Was hoping for a bit more technical book, but as with his other work, it is verry well written. A great read, informative and documented.

[Anastassia · Rating 4 out of 5]

Some great examples of AI solutions transforming all business sectors

[Alex · Rating 3 out of 5]

Книга - список примеров использование ИИ. Неплохой справочник для получения видения, но практического применения очень мало.

[Serg777 · Rating 2 out of 5]

Книга для общего образования. Не для специалистов. Прочитав несколько кейсов, остальные просматриваешь быстро.

[Nacho Bassino · Rating 4 out of 5]

A collection of cases, with interesting applications that can spark further thoughts.

[Yong Kian · Rating 2 out of 5]

lacking in depth of contents, brief touch and go

[Δάσκαλος · Rating 2 out of 5]

Terjemahan Indonesianya kurang nyaman dibaca.

[Scot Northern · Rating 2 out of 5]

At this point, both the majority of use cases and technology discussed are primarily out dated.

[Richard · Rating 4 out of 5]

Good general idea on which companies use AI, pretty much outdated for 2023 but very good for someone outside the expertise that wants to know where data analysis is being used on daily basis.

[Jobright Peter · Rating 2 out of 5]

Sounded like a collection of corporate presentations set to the same template

[Damodar Hegde · Rating 2 out of 5]

This book sounds like written by ChatGPT

[booksta_lana · Rating 3 out of 5]

I've read this book for college class as a supplement reading. It was fun, I like the breakdown based on what the company does. It may be a little too short if you are in the AI field, but it gives a very basic understanding for those who a new to this world. Great selection of companies, helps you understand and relate to it better.