AI and Algorithmics have already optimized and automated production and logistics processes. Now it is time to unleash AI on the administrative, planning and even creative procedures in marketing, sales and management. This book provides an easy-to-understand guide to assessing the value and potential of AI and Algorithmics. It systematically draws together the technologies and methods of AI with clear business scenarios on an entrepreneurial level. With interviews and case studies from those cutting edge businesses and executives who are already leading the way, this book shows you: how customer and market potential can be automatically identified and profiled; how media planning can be intelligently automated and optimized with AI and Big Data; how (chat)bots and digital assistants can make communication between companies and consumers more efficient and smarter; how you can optimize Customer Journeys based on Algorithmics and AI; and how to conduct market research in more efficient and smarter way. A decade from now, all businesses will be AI businesses – Gentsch shows you how to make sure yours makes that transition better than your competitors.

Author Biography

Peter Gentsch is a serial entrepreneur and expert in Digital Management, AI and Big Data. He is also the holder of the Chair for International Business Administration at Aalen University, where he focuses on Marketing, e-Business and Data Science. He is the author of numerous publications in Germany and internationally and a keynote speaker on the subjects of digital business transformation and innovation management. Along with Lufthansa, he was jointly awarded the Innovation Prize of the German Market Research Society in 2010. Together with Deutsche Post / DHL, he won the International Digital Communication Award in 2011 and the German prize for online communication in 2014. Peter Gentsch continues to lead the Digital Excellence Circle group which he founded in 2010. The exclusive grouping includes companies such as Audi, BMW, Bosch, Daimler, Disney, Deutsche Post, Lufthansa, Microsoft, Deutsche Telekom and Otto Group.

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