11 Best AI and Machine Learning Books for Entrepreneurs

As a business leader, reading is a crucial ingredient to business success. Top entrepreneurs are aware of the growing popularity of AI and machine learning and remain informed to be ahead of the curve, giving them an advantage over other founders. Check out some of the best startup books by industry professionals about the connection between AI and machine learning.

Also Recommended: Check out our list of the best startup books.

“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.

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. 

This book contains specific details intended to enlighten startup founders about promising artificial intelligence factors such as market size, professional and personal benefits, and consistent growth. Consider purchasing this book to add to your list of reads if you’re an entrepreneur curious about various aspects of AI.

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.

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.

Many readers may view this book as a preparation tool for a new AI world. While no one can claim that science enthusiasts and writers are closed-minded, they can gain insight from Qiufan and Lee about the relevance of AI technology.

In "Artificial Intelligence in Practice,” Bernard Marr and Matt Ward give in-depth analyses of 50 businesses successfully incorporating AI into their operations. They provide overviews of each company, outline unique AI issues, and explain solutions. Their case studies include thorough analysis, technical detail, and summaries of critical lessons.

This book is valuable because it explains how machine learning and artificial intelligence can efficiently address typical business problems and provide opportunities that exceed expectations. Additionally, it offers fascinating case studies from growing startups that illustrate the influence of AI in practical business settings.

Artificial intelligence and machine learning are the most significant contemporary business trends that can determine accomplishments and failures. Authors Marr and Ward provide numerous examples, showing how machine learning is efficient in various industries such as real estate, investing, tech, and sales.

Any organization can use this book to find practical solutions to challenging issues. Also, they can learn how to implement AI technology despite its status or industry.

“Competing in the Age of AI” is inspired by Marco Lansiti and Karim R. Lakhani’s belief that AI is becoming the universal engine of execution and the new operational foundation of business. The core of a company's operating model defines how the company drives task performance and how companies must learn how to adapt.

Readers interested in the effects of recent tech advancements on business may find this book informative. Many of the case studies are relevant due to fundamental ideas such as disintermediation by technology and the impact of network effects. However, the authors also give readers a broader view of AI’s consistent dominance.

Although this book is a must-read devoted to artificial intelligence, the authors examine other aspects aside from its scientific elements. You must consider giving it a read to gain industry knowledge about AI’s connection to business leaders.

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.

This informative guide is practical for all business executives and organizations to thrive in a disruptive era. Industry leaders can create their pathway of personal change by using Walsh's ten basic principles. They can also construct a clear path for their team and company by utilizing the power of sophisticated algorithms.

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.

Looking for more book recommendations? We asked startup founders to share their favorite books on entrepreneurship, and here's what they said.

Born and raised in Taiwan, Dr. Kai-Fu Lee is one of the most well-known authorities in artificial intelligence. In his book, "AI Superpowers,” he notes the ongoing rivalry between the US and China. Additionally, he details how China has unexpectedly and quickly caught up to the US and continues to compete with American technology.

Dr. Lee offers a variety of examples from the real world that illustrate similarities and differences, along with amusing anecdotes from his own life. He discusses the emergence of China's high-tech corporations while going in-depth about how each succeeded in a competitive industry. 

This book is among the most popular business books for corporate executives in the contemporary AI era. Although the author gives his perception of powerful tech practices, he also maintains an honest opinion about the long-time battle between the US and China business industries.

“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.

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.

This book is excellent for both technical and non-technical audiences because of its well-written, concise, and engaging context. It is a suitable read for older adults and young adults who aspire to be business tech moguls.

“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.

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.

You may find this book worthwhile to follow as a definitive source. It serves as a manual for AI-related concerns we must consider, including Ai's possible influence on the economy, the law, conflict resolution, diplomacy, and what living in a society ruled by advanced tech could entail.

Data scientists are taking control of business analytics and insight, implementing them in many companies that use machine learning daily. Therefore, "Business Data Science” is a must-read if you’re curious to comprehend and master essential concepts.

Author Matt Taddy guides readers through specific procedures they must follow to deploy business data science successfully. He emphasizes that without proper knowledge and study, they could struggle to understand the basics of automation, acceleration, and optimization.

This book will be helpful if you're an engineer or a company executive who wants to study data. You can also determine how to apply machine learning to business issues within the workplace.

“The Master Algorithm” offers an excellent background and analysis of machine learning and AI for founders and general audiences. It contains Pedro Dominos’ perspective on machine learning and the race to master artificial intelligence, inventing the ultimate learning curve for the future.

The author demonstrates various datasets, analytics, and intelligence techniques, along with the advantages and restrictions of the numerous algorithmic methods. He also includes realistic examples and references, making the text understandable to readers without technical knowledge.

This book is informative and worth reading. If you're fascinated by machine learning, purchase this informative tool to discover helpful information for your business.

AI and machine learning are becoming popular in many industries implementing advanced technology. If you’re thinking about teaching AI and ML for your team the second edition of Artificial Intelligence and Machine Learning for Business is a must-read to get advice about their possibilities and advantages.

Author Steven Finlay ignores common technical terminology and cuts straight to the misconceptions about AI. He focuses on practical applications and how data scientists can help maximize the benefits of data-driven technologies. Also, he provides a managerial view of machine learning by explaining its purpose and use.

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.

What’s your favorite AI and Machine Learning book for entrepreneurs? Let us know in the comments!