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The Blurb On The Back:
AI For Marketing And Product Innovation offers product innovators, creative talent and marketing professionals a hands-on and highly accessible guide to artificial intelligence (AI) and machine learning (ML). The authors (a team of experts at the intersection of neuroscience, technology, insights, and marketing) reveal how to harness AI and ML to accelerate product innovation and marketing. These two powerful new tools stand poised to revolutionize the way we sell products and make innovative breakthroughs.
This vital resource explores a wide range of business-related topics, from innovation, branding, pricing and promotions, creative storytelling to the future of market research and advertising agencies. All the techniques presented in the book have become algorithms and serve as real-life examples of AI and ML at work. In addition, the authors outline the resources, the skills, best practices, terminology, and metrics required to harness the unparalleled and rapidly expanding power of these twin technologies. AI For Marketing And Product Innovation provides an in-depth look at what AI is, what it can – and cannot – do, and contains practical ideas and insights on ways in which to apply that knowledge to your business and career development.
Throughout the book, the authors neither resort to mathematical mumbo-jumbo nor do they present an endless array of irrelevant case studies. Instead, they challenge us to “Think Different”. AI For Marketing And Product Innovation is filled with the information needed to understand the practical business implications of Artificial Intelligence and Machine Learning. In clear terms, the book shows how to put them to work to gain a competitive advantage in today’s increasingly digitally-driven economy.
( The Review (Cut For Spoilers): )
The Verdict:
Although Pradeep, Appel and Sthanunathan’s all have strong credentials in AI, ML and marketing and product innovation, I found this a really difficult book to follow because the early sections concentrate on the maths underpinning what AI and ML can do and it doesn’t really show you how AI and ML can make a difference to marketing and product strategy. If you’re already proficient in the subject, it may offer you more than it does to a beginner.
Thanks to the Amazon Vine Programme for the review copy of this book.
AI For Marketing And Product Innovation offers product innovators, creative talent and marketing professionals a hands-on and highly accessible guide to artificial intelligence (AI) and machine learning (ML). The authors (a team of experts at the intersection of neuroscience, technology, insights, and marketing) reveal how to harness AI and ML to accelerate product innovation and marketing. These two powerful new tools stand poised to revolutionize the way we sell products and make innovative breakthroughs.
This vital resource explores a wide range of business-related topics, from innovation, branding, pricing and promotions, creative storytelling to the future of market research and advertising agencies. All the techniques presented in the book have become algorithms and serve as real-life examples of AI and ML at work. In addition, the authors outline the resources, the skills, best practices, terminology, and metrics required to harness the unparalleled and rapidly expanding power of these twin technologies. AI For Marketing And Product Innovation provides an in-depth look at what AI is, what it can – and cannot – do, and contains practical ideas and insights on ways in which to apply that knowledge to your business and career development.
Throughout the book, the authors neither resort to mathematical mumbo-jumbo nor do they present an endless array of irrelevant case studies. Instead, they challenge us to “Think Different”. AI For Marketing And Product Innovation is filled with the information needed to understand the practical business implications of Artificial Intelligence and Machine Learning. In clear terms, the book shows how to put them to work to gain a competitive advantage in today’s increasingly digitally-driven economy.
( The Review (Cut For Spoilers): )
The Verdict:
Although Pradeep, Appel and Sthanunathan’s all have strong credentials in AI, ML and marketing and product innovation, I found this a really difficult book to follow because the early sections concentrate on the maths underpinning what AI and ML can do and it doesn’t really show you how AI and ML can make a difference to marketing and product strategy. If you’re already proficient in the subject, it may offer you more than it does to a beginner.
Thanks to the Amazon Vine Programme for the review copy of this book.
