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AI in marketing, sales and service : how marketers without a data science degree can use AI, big data and bots
Gentsch P., Palgrave Macmillan, Cham, Switzerland, 2019. 271 pp. Type: Book (978-3-319899-56-5)
Date Reviewed: Mar 10 2020

Artificial intelligence (AI) is a catchy term that you see every day in the media. Every chief executive must be thinking about how to apply AI to their company. But, lacking the necessary knowledge, they don’t know how to start. This book comes to the rescue. It uses real-life cases to explain how AI can help businesses.

For example, an online retail company uses a dynamic and intelligent pricing method to respond to competitors’ prices and current inventories. Complex AI recommendation algorithms are also used to enhance user experience. These systems have “automated 35 percent of the sales and 90 percent of customer support.”

This book contains interviews and case studies from businesses already using AI to enhance their competitiveness. AI can automatically identify customer and market potential. AI can intelligently automate and optimize media planning. Chatbots and digital assistants can “make the communication between companies and consumers more efficient and more smart.” AI can optimize customer journeys and conduct market research in a more efficient and smarter way.

In this digital world, all businesses must use intelligent algorithms and systems. Or we can say that it is AI in action for everyone and everything. This book aims to introduce AI to marketers who do not have a data science or AI degree. The current practices of AI in business are explained with examples.

This book has five parts. Part 1, “AI 101,” explains the basics of algorithms, big data, and AI. Part 2, “AI Business: Framework and Maturity Model,” describes what an AI company looks like and the framework of AI. Part 3 is “Conversational AI: How (Chat)Bots Will Reshape the Digital Experience.” Basically, natural language processing (NLP) makes chatbots possible. When you call a service line, most of the time you are talking to a robot mimicking a human operator. Part 4 is “AI Next and Best Practices,” and Part 5 is “Conclusion and Outlook: Algorithmic Business--Quo Vadis?”--that is, where do we go from here? AI is currently at the machine intelligence level. When will it possess human intelligence, with all of the logical, emotional, creative, compassionate, and empathic abilities? Let’s wait and see.

Finally, while there are many contributors to this book, it is not clear who wrote what.

More reviews about this item: Amazon

Reviewer:  R. S. Chang Review #: CR146927 (2009-0217)
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