Artificial Intelligence for Business

Artificial Intelligence for Business is your plain-English guide to Artificial Intelligence (AI) and Machine Learning (ML): how they work, what they can and cannot do, and how to start profiting from them. Writing for nontechnical executives and professionals, Doug Rose demystifies AI/ML technology with intuitive analogies and explanations honed through years of teaching and consulting. Rose explains everything from early expert systems to advanced deep learning networks.

First, Rose explains how AI and ML emerged, exploring pivotal early ideas that continue to influence the field. Next, he deepens your understanding of key ML concepts, showing how machines can create strategies and learn from mistakes. Then, Rose introduces current powerful neural networks: systems inspired by the structure and function of the human brain. He concludes by introducing leading AI applications, from automated customer interactions to event prediction. Throughout, Rose stays focused on business: applying these technologies to leverage new opportunities and solve real problems.

• Compare the ways a machine can learn, and explore current leading ML algorithms
• Start with the right problems, and avoid common AI/ML project mistakes
• Use neural networks to automate decision-making and identify unexpected patterns
• Help neural networks learn more quickly and effectively
• Harness AI chatbots, virtual assistants, virtual agents, and conversational AI applications

Doug Rose has been transforming organizations through technology, training, and process optimization for more than 25 years. He is the author of the Project Management Institute (PMI) first major publication on the agile framework, Leading Agile Teams. He is also the author of Data Science: Create Teams That Ask the Right Questions and Deliver Real Value and Enterprise Agility for Dummies.


Doug has a master degree (MS) in information management, a law degree (JD) from Syracuse University, and a BA from the University of Wisconsin-Madison. He is also a Scaled Agile Framework Program Consultant (SPC), Certified Technical Trainer (CTT+), Certified Scrum Professional (CSP-SM), Certified Scrum Master (CSM), PMI Agile Certified Professional (PMI-ACP), Project Management Professional (PMP), and Certified Developer for Apache Hadoop (CCDH). You can attend his lively and engaging business and project management courses at the University of Chicago or online through LinkedIn Learning.


Doug works through Doug Enterprises, an organization with an office in whatever city he lives. Currently he lives in Atlanta, Georgia, where he spends his free time either riding a stationary recumbent bike or explaining the Marvel Universe to his son.

The easy introduction to machine learning (ML) for non-technical people -- in business and beyond What you need to know about modern artificial intelligence (AI) and ML -- including how to use it to solve real business problems How AI and ML has evolved, and what they can and can't do Key applications, including intelligent robots, natural language processing (NLP), and the Internet of Things (IoT) Core concepts, illustrated with many practical examples Includes an accessible, step-by-step introduction to breakthrough techniques based on neural networks Millions of non-technical professionals and leaders want to understand Artificial Intelligence (AI) and Machine Learning (ML) -- whether to improve their businesses, be more effective citizens, consumers or policymakers, or just out of sheer curiosity. Until now, most books on the subject have either been too complicated and mathematical, or have simply avoided the big picture by focusing on the use of specific software libraries. In Artificial Intelligence for Business , Doug Rose bridges the gap, offering today's most accessible and useful introduction to AI and ML technologies -- and what they can and can't do. Rose begins by tracing AI's evolution from the early 1950s to the present, illuminating core ideas that still drive its development. Next, he explores recent innovations that have reinvigorated the field by providing the "big data" that makes machine learning so powerful - innovations such as GPS, social media and electronic transactions. Finally, he explains how today's machines learn by combining powerful processing, advanced algorithms, and artificial neural networks that mimic the human brain. Throughout, he illustrates key concepts with practical examples that help you connect AI, ML, and neural networks to specific problems and solutions. Step by step, he systematically demystifies these powerful technologies, removing the fear, bewilderment, and advanced math -- so you can understand the new possibilities they create, and start using them.

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