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

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

• 
  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.
• 
  Kristijonas Vasiliauskas

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

  Very high level brief overview not in depth review , most of the content I was already familiar with but this book will be very helpful to new players without any awareness of AI
  
  Humans know a lot more than what they do on a regular basis whereas machines can do a lot more than what they know
  
  this book doesn't cover all approaches of machine learning: inductive reasoning, connectionism, evolutionary computation, Bayes' theorem and analogical modelling
  
  just focuses 3 of the above that too more emphasis on supervised learning
  
  supervised learning
  deep learning
  statistical models
  
  
  think of AI interms of augmenting human capabilities not entirely replacing human workforce
  somethings humans are good at (creativity , compassion , social aspect) where as machines are good
  
  at processing speed of computing voluminous data , scalability , automating mechanical tasks ,
  
  Instead of focussing on best algo , focus on how your business use cases fit into existing algo with rapid experimentation then eventually focus on better algo
  
  data is oil for new economy , not completely true once you build a model its applicable only till that period of time ,.. think sustenance and future prediction models based on new learnings
  
  data is important , but quality of data is even more important alongside quantity of data
  
  aware of errors/accidents than could occur during learning phase and production phase some we cant predict
  so to mitigate the risks of unforeseen ones validate inputs more rigorously , have alternative fallback in place for temp correction(in production)
  ex errors of past: army training model was learning background instead of target , automated email systems were sending inappropriate response messages
  like I love you , porn videos surfaced in adobe production systems without validating age of kids , human was killed in robotic machine assembly
  
  Think of AI in all possible industries for cost cutting , improved productivity , scaling production
  
  flexibility
  speed
  scalability
  prediction
  personalisation
• 
  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 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.
• 
  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 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.
  
  
  
• 
  Greg

  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.
• 
  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 platforms
• 
  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.
• 
  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.
• 
  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.
• 
  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.
• 
  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.
• 
  Paulius Pikelis

  Generic high-level overview
• 
  Winai Nadee

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

  great book filled with fundamentals for future work.
• 
  Marcus

  Very well written and eye opening
• 
  Bernard Sia

  Good no nonsense, honest overview of the topic
• 
  Tathagat Varma

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

  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. 😇
• 
  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.
• 
  Brian Swain

  Insightful summary of current AI issues and challenges.
• 
  Aihua

  High level view of AI.