Description
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. 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. Part I: AI 101 1. AI eats the World 1.1 AI and the fourth industrial revolution 1.2 AI development: Hyper, Hyper, …. 1.3 AI as a game changer 1.4 AI for business 2. A Bluffer’s Guide to AI, Algorithmics and Big Data 2.1 Big Data – more than “Big” 2.2 Algorithms – the new marketers? 2.3 The power of algorithms 2.4 AI the eternal talent is growing up 2.4.1 AI – an attempt at a definition 2.4.2 Historical development of AI 2.4.3 Why AI is not really intelligent – and why that does not matter either Part II: AI Business: Framework and Maturity Model 3. AI Business: Framework and Maturity Model 3.1 Methods and technologies 3.2 Framework und Maturity Model 3.3 AI Framework – the 360 perspective 3.4 AI maturity model: Process model with roadmap 3.5 Algorithmic business – on the way towards self-driven companies 3.6 Algorithmic Marketing 3.7 Algorithmic Market Research 3.8 New business models through algorithmics and AI 3.9 Who`s in Charge Part III Conversational AI: How (Chat) Bots will reshape the Digital Experience 4. Conversational AI: How (Chat) Bots will reshape the Digital Experience 4.1 Bots as a new customer interface and operating system 4.2 Conversational Commerce 4.2.1 Subject-matter and areas 4.2.2 Examples of conversational commerce 4.2.3 Challenges for Conversational Commerce 4.2.4 Advantages and disadvantages of Conversational Commerce 4.3 Conversational Office 4.3.1 Potential approaches and benefits 4.3.2 Digital Colleagues 4.4 Conversational Home 4.4.1 The butler economy – convenience beats branding 4.4.2 Development of the personal butler in the scope of cognisant computing 4.4.3 Advantages and disadvantages for the users 4.4.4 Siri, Google Now, Cortana, Alexa, Home – who is the cleverest of them all? 4.5 Conversational commerce and AI in the GAFA platform economy 4.6 Bots in the scope of the CRM systems of companies 4.7 Maturity levels and examples of bots and AI systems 4.8 Conversational AI Playbook 4.8.1 Roadmap for conversational AI 4.8.2 Platforms and checklist 4.9 Conclusion and outlook Part IV AI Best and Next Practices 5. AI Best and Next Practices 5.1 Sales and marketing reloaded – deep learning facilitates new ways of winning customers and markets Andreas Kulpa, DATAlovers AG 5.2 Digital Labor and what needs to be considered from a costumer perspective Alex Dogariu, Daimler AG 5.3 Artificial intelligence and big data in customer service Prof. Dr. Nils Hafner,Lucerne University of Applied Sciences and Arts 5.4 Customer engagement with chatbots and collaboration bots: Methods, chances and risks of the use of bots in service and marketing Dr. Thomas Wilde, University Munich LMU 5.5 The bot revolution is changing content marketing – algorithms and AI for generating and distributing content Klaus Eck, d.Tales GmbH 5.6 Chatbots: Testing new grounds with a pinch of pixie dust? David Popineau, Disney 5.7 Techniker Krankenkasse Showcase: Alexa becomes Relaxa Overview of the development of the skill “Smart Relax” Bruno Kollhorst, Techniker Krankenkasse 5.8 The Future of Media Planning Andreas Schwabe, BCG 5.9 Corporate Security: Social Listening, Disinformation and Fake News Using algorithms for systematic detection of unknown unknowns Prof. Dr. Martin Grothe, Universitt der Knste Berlin 5.10 Next Best Action – Recommender Systems Next Level Jens Scholz/ Michael Thess, prudsys AG 5.11 How Artificial Intelligence and chatbots impact the music industry and change consumer interaction with artists and music labels Peter Gentsch Part V Conclusion and Outlook: Algorithmic Business: Quo Vadis? 6. Conclusion and Outlook: Algorithmic Business: Quo Vadis? 6.1 Super intelligence: Computers are taking over – realistic scenario or science fiction? 6.2 AI: Top 11 Trends 2018 and beyond 6.3 Implications for companies and society
