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Contents

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 Degrees 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, Universitat der Kunste 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

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