AI in Marketing, Sales and Service

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

3.4 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

4.3.1 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, DATA
About the Author:

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.