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Artificial Intelligence in Practice: How 50 Successful Companies Used AI and Machine Learning to Solve Problems Hardcover – May 28, 2019
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Bernard Marr
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Print length352 pages
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LanguageEnglish
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PublisherWiley
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Publication dateMay 28, 2019
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Dimensions5.8 x 1.1 x 8.6 inches
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ISBN-101119548217
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ISBN-13978-1119548218
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Editorial Reviews
From the Inside Flap
ADOPT AI-SOLUTIONS TO MEET REAL-WORLD BUSINESS PROBLEMS
Artificial Intelligence in Practice is a practical resource that demystifies how Artificial Intelligence (AI) and machine learning can be used to solve common business challenges and open the door to opportunities that often exceed expectations. The book is filled with insights from some of the most important AI giants including Google, Microsoft, Amazon, Alibaba, and other forward thinking industry leaders. It also presents compelling case studies from traditional businesses and startups, that detail how AI is being applied in the real world of business.
Bestselling author and AI expert Bernard Marr offers detailed examinations of 50 companies that have successfully integrated AI into their business practices. He provides an overview of each company, describes the specific problem AI addressed and explains how AI offered a workable solution. Each case study contains a comprehensive overview, some technical details as well as key learning summaries.
Artificial intelligence and machine learning are the most important modern business trends that are driving today's (and tomorrow's) successes. As the book's myriad cases demonstrate, AI can be used in industries ranging from banking and finance to media and marketing. By adopting AI technology, any business, no matter what size, sector or industry, can advance innovative solutions to their most demanding challenges.
From the Back Cover
ADOPT AI-SOLUTIONS TO MEET REAL-WORLD BUSINESS PROBLEMS
Artificial Intelligence in Practice is a practical resource that demystifies how Artificial Intelligence (AI) and machine learning can be used to solve common business challenges and open the door to opportunities that often exceed expectations. The book is filled with insights from some of the most important AI giants including Google, Microsoft, Amazon, Alibaba, and other forward thinking industry leaders. It also presents compelling case studies from traditional businesses and startups, that detail how AI is being applied in the real world of business.
Bestselling author and AI expert Bernard Marr offers detailed examinations of 50 companies that have successfully integrated AI into their business practices. He provides an overview of each company, describes the specific problem AI addressed and explains how AI offered a workable solution. Each case study contains a comprehensive overview, some technical details as well as key learning summaries.
Artificial intelligence and machine learning are the most important modern business trends that are driving today's (and tomorrow's) successes. As the book's myriad cases demonstrate, AI can be used in industries ranging from banking and finance to media and marketing. By adopting AI technology, any business, no matter what size, sector or industry, can advance innovative solutions to their most demanding challenges.
About the Author
BERNARD MARR is the founder and CEO of Bernard Marr & Co and an internationally best-selling business author, futurist, keynote speaker and strategic advisor to companies and governments. He is one of the world's most highly respected voices and a renowned expert when it comes to topics such as artificial intelligence and big data. Marr advises many of the world's best-known organizations on strategy, digital transformation and business performance. He is the author of Big Data in Practice: How 45 Successful Companies used Big Data Analytics to Deliver Extraordinary Results and Big Data: Using SMART Big Data, Analytics and Metrics To Make Better Decisions and Improve Performance, both published with Wiley.
MATT WARD is the research lead for Bernard Marr & Co. Matt has a background in investigative journalism and spent the last few years working closely with Bernard Marr on the latest technology topics. Matt is an expert and experienced writer in the field of business technology and artificial intelligence, where he has worked with companies such as IBM, Intel, Citibank and NASA.
Product details
- Publisher : Wiley; 1st edition (May 28, 2019)
- Language : English
- Hardcover : 352 pages
- ISBN-10 : 1119548217
- ISBN-13 : 978-1119548218
- Item Weight : 1.21 pounds
- Dimensions : 5.8 x 1.1 x 8.6 inches
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Best Sellers Rank:
#348,315 in Books (See Top 100 in Books)
- #107 in Business Intelligence Tools
- #1,281 in Business Decision Making
- #1,340 in Decision-Making & Problem Solving
- Customer Reviews:
Customer reviews
Top reviews from the United States
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I was thus excited when Mr. Marr released a new book earlier this year titled, "Artificial Intelligence in Practice: Artificial Intelligence in Practice: How 50 Successful Companies Used AI and Machine Learning to Solve Problems," and bought it immediately. This book contains 50 business case studies of how large companies such as McDonald's and Unilever are implementing AI in myriad ways. The book is well-organized, with the 50 studies grouped into 5 categories - tech, retail/CPG, media, financial/healthcare, and manufacturing - and with each case study following the same format to simplify reading. Each case study requires about 5 minutes to read, so the book is well-suited to reading one case study a day for 50 days. I bought the Kindle format so I could read one case study whenever I had a free moment, such as when I was waiting in line.
The book does not cover the topics in technical detail - instead, the book is valuable because it raises awareness of possibilities. Moreover, by presenting case studies from a wide variety of applications, the book supports cross-pollination between fields and industries, so that someone like me, working in the CPG sector, can learn from someone working in manufacturing (and vice-versa).
In summary, if you're interested in business-use cases for AI, this book is essential reading. Do as I did - download a Kindle copy and read one case study a day. You'll be delighted you did!
Dislike: It's too general. I think these kinds of information people can easily find on the internet. There's not much perspective of the author in each case study. I expect to have more details on "why and especially how" companies use AI to improve their business. From what motivate them to use AI, how they design their data collecting system, how they train their model, what are the critical changes before and after using AI.
Top reviews from other countries
The first few chapters, however, have brought me back to the sad reality of "bar reading". A reading that does not add anything more than the articles I receive periodically in my email.
It was not necessary for me to buy such a book to read that Amazon sells books and cloud services and that it relies on AI to predict the behavior of its customers for the benefit of greater sales.
it is certainly not a secret that Google uses data from research to refine the behavior of its users and serve more attractive news.
It is not even a secret that Apple iPhone X uses Machine Learning algorithms on its devices.
In short, I would have expected to read "how" these algorithms are used. I would have liked to enter into these logics and understand how AI is used instead of just reading that this AI is used.
"Alibaba Group is a Chinese multinational conglomerate that operates the world's largest e-commerce network through its web portals...[9 lines about what a successful company it is]
Its customers use artificial intelligence tools to help them find what they want when they shop at its online portals, and as one of the world's largest cloud computing providers it also licenses platforms, tools and cloud services to other businesses to help them leverage AI.
Beyond that, Alibaba is rolling out AI across the wider society, with projects involving turning entire cities into "smart cities". They are also planning on revolutionizing China's (and perhaps the world's) agrucultural industries to ease the burden of feeding a growing population. [Wow, I am keen to learn how they are going to do that]
The Chinese government has strongly supported efforts by businesses to adopt AI, clearly believing that it has enormous potential for driving economic growth. Its goal is to foster a $1 trillion industry and be the world leader in AI by 2030. [This bit sounds like a government brochure rather than a corporate one]
Alibaba's e-commerce portals use sophisticated AI to choose which items to display to customers when they visit and search for products they want to buy. It does this by building a custom page view for every visitor, aimed at showing them items they will be interest in, at prices that seem right. [Ah, I see, and in football you kick the ball in the goal]
By monitoring customer actions - whether they make a purchase, browse to a different item or leave the site - it learns in real time to make adjustments to these page views to increase the probability of the visit ending in a purchase. [ah, that's the secret, you monitor customer actions and learn]
To train its e-commerce portals to show visitors pages that are likely to result in a sale, Alibaba has deployed a form of semi-supervised learning known as reinforcement learning on its Taobao portal.
Because collecting enough user data to train unsupervised learning algorithms from real-time customer actions would take a long time, and involve real business risks, a virtual Taobao was built, with customer behaviour simulated from hundreds of thousands of hours' worth of historical customer data.
This mass of data meant that it was possible for the algorithms to be exposed to a far wider range of customer behaviours, in a far shorter time span. [Now you know]
Alibaba also has its own AI-powered chatbot - Dian Xiaomi- that answers more than 350 million customer enquiries a day, successfully understanding more than 90% of them. These tools are necessary to help it deal with the huge spikes generated by special occasions such as the Alibab-created "Singles Day" shopping event [thank you, I don't want to know about their Singles Day event, I want to know how the chatbot works]."
I don't accept that it has to be "brief" i.e. superficial because it covers 50 cases. This extract, counting lines from the book, comprises 16 lines of advertising for Alibaba and the Chinese government, 22 lines telling us how good its AI is, and 12 lines telling us what it actually does. It would have been a lot better to give us 50 lines on what it does.