Artificial Intelligence for Managers: Leverage the Power of AI to Transform Organizations & Reshape Your Career (English Edition)

It was a great book. I enjoyed reading this book.

A very good introductory book on Artificial Intelligence that covers the technical, strategic, operational and practical aspects of AI in non-technical terms. I reviewed the book before it was published. When I read the book in its final form now, I appreciate its value even more. I wish I had this book when I started with AI!

Artificial Intelligence for Managers is a detailed guide on the integration of AI within business settings, covering an array of topics such as image recognition, text analysis, behavior prediction, and decision-making. The book underscores the significance of transparent AI solutions and accurate data for effective analysis. It delves into various AI techniques like K-nearest neighbors (KNN), support vector machines (SVM), and deep learning, providing practical examples of their applications. Additionally, the book discusses the ethical and operational aspects of AI, emphasizing the importance of policy framing and the principles governing human-AI work relationships. The content is presented with a well-structured approach, supplemented by questions at the end of each chapter to enhance learning. While Artificial Intelligence for Managers offers a comprehensive overview of AI and its business applications, it falls short in certain areas, which ultimately affects its overall impact. One of the notable strengths of the book is its thorough exploration of AI techniques and their practical applications. The author does an admirable job of explaining complex concepts in an accessible manner, making it suitable for both business professionals and those with a technical background. However, the book's major drawback is its verbosity. At 178 pages, the text often feels overly detailed, with extensive explanations that could have been more succinct. This wordiness detracts from the main points and can make the reading experience tedious. The structure, while generally helpful, sometimes becomes overly segmented, making it challenging to follow the flow of ideas seamlessly. Another strength of the book is its balanced perspective on the ethical and operational aspects of AI integration. The author provides a realistic view of the challenges and opportunities associated with AI, neither overly optimistic nor unduly pessimistic. This balanced approach is refreshing and adds credibility to the discussion. Despite these positives, the book could benefit from more practical case studies or real-world examples to illustrate the concepts better. While theoretical explanations are valuable, concrete examples from actual business scenarios would enhance the reader's understanding and provide more actionable insights. In conclusion, Artificial Intelligence for Managers is a well-structured and informative resource, offering valuable insights into the application of AI in business. However, its excessive wordiness and sometimes overly segmented structure make it less engaging than it could be. For those willing to sift through the verbose sections, the book provides a solid foundation in understanding and leveraging AI for business success. Augustine's review

Decent overview. Don't expect a lot of depth. Certainly not comprehensive. Unfortunately, the author and editor's lack of attention to detail leave the book riddled with grammar, punctuation, and spelling errors that detract from the reader's ability to follow the concepts smoothly.

For decades, followers of technology have touted the value of Artificial Intelligence (AI) in computing. Some present a utopian future; others present a dystopian future. In this work, Upadhyay presents a realistic assessment of what’s inevitably coming. He overviews the essential parts of the technology – like convoluted neural networks or K-nearest-neighbor mapping – and then speculates on their business value. At 178 pages, this work does not waste unnecessary words. It instead provides a quick overview of the theory, illustrations to aid understanding, an example or two to bring the idea to life, and a business assessment of the ideas’ potential impacts. It presents nothing especially earth-shattering as the contents are well-established in the research literature. Instead, it brings it to life within the context of an organization and aims to make the reader the subject-matter expert in her/his context. The strength of Upadhyay’s analysis lies in its levelheadedness. He acknowledges that correct decisions in the near future must be made regarding this technology. Success is neither guaranteed nor automatic. Ethics about privacy, social impact, job security, and financial risk need to be considered as companies seek to adopt AI software into its practices. The author presents a realistic picture of these challenges, neither overly optimistic nor patently pessimistic. The business community should therefore welcome his assessment. This book’s obvious audience consists primarily of those in the business community and those who might manage AI projects. Although this book is not technical and does not outline programming procedures, the ambitious computer scientist might also benefit from its pages. Understanding the business and how the human and economic sides work can aid software developers. Finally, those who might benefit from understanding AI’s economic impact, like policymakers and social prognosticators, can also benefit from perusing its pages. It’s also worth noting that this book is published on the Indian subcontinent. It speaks to the up-and-coming technological prowess of that country. Upadhyay has shone a light on the intersection of AI and business for all of us to see. He shows how AI computing can make organizations more productive in the near future. It is no longer an out-there, far-off idea. Instead, it is becoming nearer to ever-fuller adoption, and the savvy businessperson will attend to its impacts with wisdom. This book certainly makes those who read it wiser for that future day.

Questo libro è stato un ottimo acquisto. Consigliato vivamente a chi ha la necessità di comprendere velocemente come sia fatto il mondo della machine learning, per indirizzare i propri studi su argomenti più specifici.

Ragardless of your domain if you want to start with AI fundamentals, this is one of the best book out there.