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Author Steven Finlay guides readers through this book with each detail stated explicitly instead of vaguely while attempting to rush the process by using unnecessary filler. He also instructs data scientists on organizing projects correctly, establishing realistic goals for progression and success, and explaining business queries clearly. In addition, he provides straight answers to the optimism and doubts, mainly about the potential power AI could have in industries throughout the US and worldwide. N2 - Artificial Intelligence and Machine Learning for Business cuts through the hype and technical jargon that is often associated with these subjects. It delivers a simple and concise introduction for managers and business people. The focus is very much on practical application and how to work with technical specialists (data scientists) to maximize the benefits of these technologies. This third edition has been substantially revised and updated. It contains several new chapters and covers a broader set of topics than before, but retains the no-nonsense style of the original. The AI Advantage” is considered one of the most resourceful startup books for entrepreneurs interested in automation. Thomas H. Davenport explains scientific accuracy about the evolution of artificial intelligence and its possible benefits in the future. He also outlines automatization methods that are in demand and becoming popular among businesses in various industries. The information in this book is an excellent starting point for identifying potential AI solutions. Artificial Intelligence and Machine Learning for Business cuts through the hype and technical jargon that is often associated with these subjects. It delivers a simple and concise introduction for managers and business people. The focus is on practical application and how to work with technical specialists (data scientists) to maximize the benefits of these technologies. Both authors outline unfavorable scenarios and provide solutions for each adverse issue. While many individuals may feel or believe that AI will shut out manual workers, there is no evidence it can replace humans. On the other hand, entry-level professionals consider themselves far from becoming entrepreneurs and at the bottom of the employment ladder due to AI.
While this book is a brief read, it’s referenced as one of the best startup books as an informative resource for determining operational AI and ML projects due to its insightful details and advice. Readers can get more information about extensive datasets that require ML tools and techniques. This book contains predictions and cautions about AI while written in a unique style but comprehensible. The content includes broad guidelines for regional, national, and international committees that should decide on the applications and restrictions of AI in business, academia, and government.
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In " The Algorithmic Leader,” author Mike Walsh notes that machine learning has the potential to continue changing our personal and professional lifestyles. However, as a thought leader, he questions whether we’re ready for the implications of future workplace issues.
Steven Finlay is a data scientist with more than 20 years' experience of developing practical machine learning-based solutions. He holds a PhD in management science and is an honorary research fellow at Lancaster University in the UK. He is currently Head of Analytics for Computershare Loan Services (CLS) in the UK. Dr Finlay has published a number of practically focused books about machine learning, artificial intelligence and financial services.Kai-Fu Lee, a computer scientist, wrote " AI 2041” with robotics in mind. He collaborated with sci-fi writer Chen Qiufan to provide a half-realistic and half-fantastical view of artificial intelligence in life and fantasy. They include ten short stories that precede factual discussion and analysis. Therefore, the context enlightens the reader while encouraging them to tap into the scientific elements of the AI industry.
The book can inspire readers to take on new life and professional challenges. Additionally, it encourages every entrepreneur to learn from cutting-edge tech instead of rejecting sensible points about its existence, especially as some other business books suggest. Artificial Intelligence and Machine Learning for Business” provides managers and other industry professionals with a clear and brief introduction. Predictive analytics, statistics, and other advanced AI topics are explained thoroughly without complicated terminology. Artificial Intelligence (AI) and Machine Learning are now mainstream business tools. They are being applied across many industries to increase profits, reduce costs, save lives and improve customer experiences. Consequently, organizations that understand these tools and know how to use them are benefiting at the expense of their rivals. Artificial Intelligence and Machine Learning for Business cuts through the hype and technical jargon that is often associated with these subjects. It delivers a simple and concise introduction for managers and business people. The focus is very much on practical application and how to work with technical specialists (data scientists) to maximize the benefits of these technologies. While Davenport believes that automation can’t replace human knowledge, he also emphasizes the significance of industry leaders applying the practice in the workplace. However, he also emphasizes efficient training to prepare staff by teaching complex scientific techniques, handling repetitive tasks, and experimental robotics, which has the potential to assist with challenging responsibilities in offices.
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The Age of AI,” written by Henry Kissinger, Eric Schmidt, and Daniel Huttenlocher, examines how artificial intelligence alters our world and how it may alter human nature, behavior, and efficiency. While both authors are aware of the criticism they receive from skeptics, they maintain the firm belief that AI can influence the mind.
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