Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies

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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. This revised and fully updated edition contains several new sections and chapters, covering a broader set of topics than before, but retains the no-nonsense style of the original.

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. 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.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. 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. 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.

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. Organizations which understand these tools and know how to use them are benefiting at the expense of their rivals. 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. 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 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.

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. 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.

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. 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. 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. 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.

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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. 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.

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. 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.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. 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.