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Artificial Intelligence: The Insights You Need from Harvard Business Review (HBR Insights Series)

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Companies that don't use AI will soon be obsolete. From making faster, better decisions to automating rote work to enabling robots to respond to emotions, AI and machine learning are already reshaping business and society. What should you and your company be doing today to ensure that you're poised for success and keeping up with your competitors in the age of AI?Artifi Companies that don't use AI will soon be obsolete. From making faster, better decisions to automating rote work to enabling robots to respond to emotions, AI and machine learning are already reshaping business and society. What should you and your company be doing today to ensure that you're poised for success and keeping up with your competitors in the age of AI?Artificial Intelligence: The Insights You Need from Harvard Business Review brings you today's most essential thinking on AI and explains how to launch the right initiatives at your company to capitalize on the opportunity of the machine intelligence revolution.Business is changing. Will you adapt or be left behind? Get up to speed and deepen your understanding of the topics that are shaping your company's future with the Insights You Need from Harvard Business Review series. Featuring HBR's smartest thinking on fast-moving issues--blockchain, cybersecurity, AI, and more--each book provides the foundational introduction and practical case studies your organization needs to compete today and collects the best research, interviews, and analysis to get it ready for tomorrow. You can't afford to ignore how these issues will transform the landscape of business and society. The Insights You Need series will help you grasp these critical ideas--and prepare you and your company for the future.


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Companies that don't use AI will soon be obsolete. From making faster, better decisions to automating rote work to enabling robots to respond to emotions, AI and machine learning are already reshaping business and society. What should you and your company be doing today to ensure that you're poised for success and keeping up with your competitors in the age of AI?Artifi Companies that don't use AI will soon be obsolete. From making faster, better decisions to automating rote work to enabling robots to respond to emotions, AI and machine learning are already reshaping business and society. What should you and your company be doing today to ensure that you're poised for success and keeping up with your competitors in the age of AI?Artificial Intelligence: The Insights You Need from Harvard Business Review brings you today's most essential thinking on AI and explains how to launch the right initiatives at your company to capitalize on the opportunity of the machine intelligence revolution.Business is changing. Will you adapt or be left behind? Get up to speed and deepen your understanding of the topics that are shaping your company's future with the Insights You Need from Harvard Business Review series. Featuring HBR's smartest thinking on fast-moving issues--blockchain, cybersecurity, AI, and more--each book provides the foundational introduction and practical case studies your organization needs to compete today and collects the best research, interviews, and analysis to get it ready for tomorrow. You can't afford to ignore how these issues will transform the landscape of business and society. The Insights You Need series will help you grasp these critical ideas--and prepare you and your company for the future.

30 review for Artificial Intelligence: The Insights You Need from Harvard Business Review (HBR Insights Series)

  1. 5 out of 5

    Yoly

    Excellent collection of essays on Artificial Intelligence by experts in the field. While not particularly an introduction to AI for business people, it does present its advantages and challenges from a business point of view, so it's not full of technical jargon. Highly recommended for business people who want to know how AI can impact their business. Excellent collection of essays on Artificial Intelligence by experts in the field. While not particularly an introduction to AI for business people, it does present its advantages and challenges from a business point of view, so it's not full of technical jargon. Highly recommended for business people who want to know how AI can impact their business.

  2. 5 out of 5

    Kristijonas Vasiliauskas

    It's a quick MUST for everyone who is interested in applying AI in their everyday business life. It's a quick MUST for everyone who is interested in applying AI in their everyday business life.

  3. 4 out of 5

    Paul

    This is an excellent high-level view of AI at the moment. Like any business book, you're rating will depend on what you're seeking. Because there is no technical language, it has lots of interesting examples and each chapter (which is really a reprinted article) has a nice summary at the end. If you're seeking an intelligent and insightful set of authors that layout broad strokes, this is highly recommended. This is an excellent high-level view of AI at the moment. Like any business book, you're rating will depend on what you're seeking. Because there is no technical language, it has lots of interesting examples and each chapter (which is really a reprinted article) has a nice summary at the end. If you're seeking an intelligent and insightful set of authors that layout broad strokes, this is highly recommended.

  4. 5 out of 5

    Arfan Ismail

    This is a really good book. The content is high-quality, meaty, meaningful and usefull, containing information and ideas that can be taken straight into the workplace by leaders involved in digital. Chapter 1 on the business of AI lays out a great definition and explanation of what AI is and more importantly what it is not. Here there are some insightful nuances, for example the fact that we will be unable to a certain degree of knowing how AI came to a specific conclusion. Chapter 2 on Facebook This is a really good book. The content is high-quality, meaty, meaningful and usefull, containing information and ideas that can be taken straight into the workplace by leaders involved in digital. Chapter 1 on the business of AI lays out a great definition and explanation of what AI is and more importantly what it is not. Here there are some insightful nuances, for example the fact that we will be unable to a certain degree of knowing how AI came to a specific conclusion. Chapter 2 on Facebook AI' workshop is excellent, taking us right inside so we can see how AI is rolled out in one of the worlds largest organisations. Again there are some real gems here, like focussing on some very specific processes where AI can help and then starting there, as opposed to the grand, big-picture prespective. Chapter 8 covers the nature of collaboration between AI and humans, something the book takes as a central theme. Here 5 characteristics of business processes that companies typically want to improve: flexibility, speed, scale, decision making and personalisation. There are some good examples of eacg provided, for example Mercedes use of cobots to allow greater customer personilsation of cars. The section on how AI is getting more emotional is way too short and feels perfunctory. The are a few references to cars but not much more than that, as with the chapter on strategy, could be longer and more detailed. All-in all though a great text I'd recommend for anyone wanted a greater insight into effective uses of AI.

  5. 5 out of 5

    LittleRead

    I’ve been working with data for the majority of my career. I started out with Executive Reporting, moved on to Business Intelligence, which then became Business Analytics, and added in Performance Management and Predictive capabilities. Eventually this led to Artificial Intelligence, Machine Learning, Data Science, and more. Artificial Intelligence is much like other technologies in that it is not a question of whether your organization will adopt AI, but rather when and how to tackle that first I’ve been working with data for the majority of my career. I started out with Executive Reporting, moved on to Business Intelligence, which then became Business Analytics, and added in Performance Management and Predictive capabilities. Eventually this led to Artificial Intelligence, Machine Learning, Data Science, and more. Artificial Intelligence is much like other technologies in that it is not a question of whether your organization will adopt AI, but rather when and how to tackle that first project. As with most new technologies, that first project is the most daunting of all. I have seen many companies dive in head first and quickly try to keep their heads above water. It’s not difficult, but it’s a matter of identifying the right use cases and the right place to start within your company. Getting started is key and if you haven’t already started, you may already be behind the curve compared to your peers. The articles in this book are a good compilation that can help companies get past that first bump in the road and begin their AI journey in earnest. This would be a great read for any team that is just starting out to help set the stage for their conversations and set the wheels in motion. It would also be a good read for any team that may have stumbled on their first foray and need to get things back on track quickly. As always HBR has solid articles and advice. A pleasure to read these in a combined offering.

  6. 4 out of 5

    Barnabas

    Short and sweet This is a short compilation of HBR articles about AI (the added value opportunity, the risks, the method how to formulate problems correctly and how to work with it in existing workplaces/companies). The authors are pretty good guys from whom I already read some books (The second machine age; Machine Platform Crowd; Prediction Machines) so their knowledge is firm on the topic. What's good about the book: - it's short and does not overwhelm you with techno-jargon - it's relevant regard Short and sweet This is a short compilation of HBR articles about AI (the added value opportunity, the risks, the method how to formulate problems correctly and how to work with it in existing workplaces/companies). The authors are pretty good guys from whom I already read some books (The second machine age; Machine Platform Crowd; Prediction Machines) so their knowledge is firm on the topic. What's good about the book: - it's short and does not overwhelm you with techno-jargon - it's relevant regarding the selection of bigger topics: what is AI and Machine Learning, what does data mean for your company, how to deal with it now and long-term - also gives good examples about specific companies and their implemented strategies (e.g. Facebook, who embraced AI fully across its businesses) - it's neither too optimistic, nor too pessimistic 5 stars because the articles are definitely worth reading, even one by one or straight in a raw for business people. Note: This book is NOT about coding AI and ML algorithms, but about its potential impact on business and suggested implementation strategies.

  7. 4 out of 5

    Liber

    This book has a great collection of articles explaining what is artificial intelligence, how it affects the modern business landscape, what are the implications to ordinary consumers, and so much more. Readers will also benefit greatly with the Take Aways provided by the end of each article. This is a great way to summarize the main points discussed; so if the reader is pressed for time he/she can jump right to the take away section. The articles are well written, carefully selected, and easy to This book has a great collection of articles explaining what is artificial intelligence, how it affects the modern business landscape, what are the implications to ordinary consumers, and so much more. Readers will also benefit greatly with the Take Aways provided by the end of each article. This is a great way to summarize the main points discussed; so if the reader is pressed for time he/she can jump right to the take away section. The articles are well written, carefully selected, and easy to understand. I would definitely recommend this book to anyone who wants to get fast and in-depth understanding of the basic concepts of artificial intelligence.

  8. 4 out of 5

    Natarajan Mahalingam

    From the HBR Insights series, on the topic of Artificial Intelligence, this book contains 12 articles from leading experts, leaders, and AI practitioners across the technology industry. This book is a good starting point for a novice, a timely reminder for industry leaders, and mandatory reading for anyone interested to know more about the AI topic. Each of the articles are unique, present independent perspectives, and list current examples for AI application in a variety of industries and platf From the HBR Insights series, on the topic of Artificial Intelligence, this book contains 12 articles from leading experts, leaders, and AI practitioners across the technology industry. This book is a good starting point for a novice, a timely reminder for industry leaders, and mandatory reading for anyone interested to know more about the AI topic. Each of the articles are unique, present independent perspectives, and list current examples for AI application in a variety of industries and platforms

  9. 5 out of 5

    Mojtaba Niknam

    نکات خوبی در مورد هوش مصنوعی از زاویه تصمیم گیرندگان کسب و کارها بیان میکنه که خوندنش مخصوصا برای رهبران تجاری و استراتژیست های حوزه تکنولوژی احتمالا مفید خواهد بود. مخصوصا دو فصل آخر، که در مورد تاثیر آینده هوش مصنوعی در تغییر استراتژی و همچنین نگاه بالا به پایین در هوش مصنوعی و لزوم کاهش داده های ورودی برای یادگیری ماشین صحبت میشه برای من جالب بود.

  10. 5 out of 5

    Carlos Miguel

    A great way to start the year! This book is fascinating, clear, and concise. It looks at AI from different points of view from the most prestigious scientist in the field, such as Andrew Ng. This was exactly what I need to have a clearer view of applications of machine learning in the real world. Highly recommended.

  11. 4 out of 5

    Alina

    An interesting collection of articles providing with a broad overview of what AI means for business. Best percieved if you already have some understanding of what AI is, but otherwise relatively basic concepts.

  12. 5 out of 5

    Himanshu Kapila

    This book is written in simple language to help a non IT professional understand the scope and depth of AI. This helps you become aware of what companies are doing and what AI can and can’t do. A good read without Jargons and complex mathematical model.

  13. 5 out of 5

    Annarella

    An excellent collection of essay really useful for people who want to understand what AI is and the impacts. It's highly recommended! Many thanks to the publisher and Netgalley for this ARC, all opinions are mine. An excellent collection of essay really useful for people who want to understand what AI is and the impacts. It's highly recommended! Many thanks to the publisher and Netgalley for this ARC, all opinions are mine.

  14. 5 out of 5

    Darya

    If you're looking to get familiar with artificial intelligence and machine learning, you can start with this book. This is a very good collection of articles on the topic that will guide you through the history, application and future development of these technologies. If you're looking to get familiar with artificial intelligence and machine learning, you can start with this book. This is a very good collection of articles on the topic that will guide you through the history, application and future development of these technologies.

  15. 5 out of 5

    Bernard Sia

    Good no nonsense, honest overview of the topic

  16. 5 out of 5

    Wessel

    Found some very helpful tips and insights that I could use for my work.

  17. 4 out of 5

    Asmaa Mannasaheb

    Good read for more info about where AI stands today and what sort of research is being done, how to implement AI in our businesses, when to start etc etc. I enjoyed reading it. It was a quick read. 😇

  18. 4 out of 5

    scott

    Can’t believe how bad this was. Just lots of buzz words and babble. Do not waste your time.

  19. 5 out of 5

    Tathagat Varma

    A good light-touch introduction to the vast world of possibilities of AI

  20. 5 out of 5

    VijayGopi Ramachandran

    a relatable work and ground level predictions on AI

  21. 5 out of 5

    Said

    Excellent set of articles both for a significant level of detail and also a big picture understanding of AI and general issues impacting AI.

  22. 5 out of 5

    Paulius Pikelis

    Generic high-level overview

  23. 5 out of 5

    Marcus

    Very well written and eye opening

  24. 5 out of 5

    Aihua

    High level view of AI.

  25. 4 out of 5

    Amr Swalha

    great book filled with fundamentals for future work.

  26. 4 out of 5

    Martin Ljungqvist

    Nice summary of the status of AI right now from a couple of articles by some leading names in the field.

  27. 5 out of 5

    Brian Swain

    Insightful summary of current AI issues and challenges.

  28. 5 out of 5

    Winai Nadee

    A summary of situations in AI era as I am shifting my research interest in AI and human aspects. Enjoyable.

  29. 5 out of 5

    Jan Petter

  30. 4 out of 5

    Biju K

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