Prof. Dr. Patrick Glauner is the Founder & CEO of skyrocket.ai GmbH, an artificial intelligence consulting firm based in Bavaria, Germany. In parallel, he is Full Professor of Artificial Intelligence at Deggendorf Institute of Technology, a position he is honored to hold since the age of 30. His research on AI was featured in New Scientist and cited by McKinsey and others. He is also Area Editor of the International Journal of Computational Intelligence Systems (IJCIS). Previously, he held managerial positions at the European Organization for Nuclear Research (CERN), at Krones Group and at Alexander Thamm GmbH. He studied at Imperial College London and also holds an MBA. He is an alumnus of the German National Academic Foundation (Studienstiftung des deutschen Volkes).

Prof. Dr. Dr. Philipp Plugmann has been doing multidisciplinary work for the last 20 years in parallel to practicing as a dentist in his own clinic in Leverkusen, Germany. He is also Full Professor for Interdisciplinary Periodontology and Prevention at SRH University of Applied Health Sciences. His first book on innovation in medical technology published in 2011 was reviewed by Cisco. His second book on innovation published with Springer in 2018 got more than 50,000 chapter downloads in its first fifteen months. Previously, he held multiple adjunct faculty appointments for more than twelve years and has won multiple teaching awards. He also holds an MBA, a MSc in Business Innovation, a MSc in Periodontology and Implant Therapy (DGParo) and is currently pursuing his third doctorate. Plugmann has given research talks in the field of innovation at Conferences at Harvard Business School, Berkeley Haas School of Business, Max Planck Institute for Innovation and Competition, and Nanyang Tech University, Singapore. Plugmann is a serial entrepreneur and advisor to several companies, including a global technology consultancy - DataArt.

1;Foreword;6 2;Preface;8 3;About the Book;9 4;Contents;10 5;Editors and Contributors;12 5.1;About the Editors;12 5.2;Contributors;13 6;Smart Grid, Future Innovation and Investment Opportunities;15 6.1;1 Introduction;15 6.2;2 Energy Transformation;16 6.3;3 Smart Grid and Renewable Energy;17 6.4;4 Harnessing Variability;18 6.4.1;4.1 Harnessing Variability at Distribution Grid Level (Small Energy Level);19 6.4.2;4.2 Hydrogen Production;21 6.4.3;4.3 Desalination Plants;22 6.4.4;4.4 CO2 Extraction from Nature;23 6.5;5 Conclusion;24 6.6;References;24 7;Quantum Technologies;25 7.1;1 Introduction;25 7.2;2 Concepts;26 7.2.1;2.1 Superposition: Life Is Uncertain;26 7.2.2;2.2 Measuring: To Measure or Not to Measure Is the Question;27 7.2.3;2.3 Entanglement: Spooky Action at a Distance;28 7.3;3 Applications;28 7.3.1;3.1 Quantum Computers;28 7.3.2;3.2 Shor's Algorithm: The End of Encryption?;30 7.3.3;3.3 Quantum Networks;30 7.3.4;3.4 Quantum "Blind" Clouds;31 7.3.5;3.5 Other Applications with Quantum Mechanics;31 7.4;4 Conclusions;32 7.5;References;33 8;Security in Intelligent Transportation Telematics;34 8.1;1 The ITS Ecosystem;34 8.2;2 Application Scenario Versus Vulnerability;36 8.3;3 Signature as the Primary Security Measure;37 8.4;4 Security, Safety, Integrity-and Privacy-Issues;38 8.5;5 Why May Someone Want to Attack Any ITS Network?;40 8.6;6 Conclusions;41 8.7;References;42 9;Innovation and Future Technology Scenarios in Health Care: Ideas and Studies;43 9.1;1 Self-Driving Hospital Beds;44 9.2;2 Reorganization of Medical Studies with Contests and Crowdsourcing;45 9.3;3 All-In-Data-Approach in Health Care for New Business Models;47 9.3.1;3.1 Introduction;47 9.3.2;3.2 Theoretical Background;48 9.3.3;3.3 Research Design;48 9.3.4;3.4 First Study;48 9.3.5;3.5 Follow-Up Study;49 9.3.6;3.6 Future Health Care IT Service Prototype Model;51 9.3.7;3.7 Findings;51 9.3.8;3.8 Conclusions of the Study;52 9.4;4 Drone-Supported Emergency Concepts in Combination with Automotive Health Systems;52 9.5;5 Conclusions;53 9.6;References;54 10;Unlocking the Power of Artificial Intelligence for Your Business;56 10.1;1 Introduction;56 10.2;2 Motivation: China Is Spearheading AI Innovation;57 10.3;3 Artificial Intelligence;58 10.3.1;3.1 History;58 10.3.2;3.2 Machine Learning;59 10.3.3;3.3 The Three Pillars of Machine Learning;60 10.3.4;3.4 Neural Networks;61 10.3.5;3.5 Recent Advances and Deep Learning;61 10.3.6;3.6 Frontiers;62 10.4;4 AI Transformation of a Company;63 10.5;5 The Fear of an Out-of-Control AI Is Exaggerated;68 10.6;6 Conclusions;69 10.7;References;69 11;Innovation Means: Asking the Right Questions;71 11.1;1 Introduction;71 11.2;2 So Let Us Innovate;72 11.3;3 What Is Innovation Anyway?;73 11.4;4 Do You Really Need to Constantly Innovate?;73 11.5;5 Where Is Your Game Plan?;73 11.6;6 Innovation Is Hard;74 11.7;7 Innovation Is Not Rocket Science Though;74 11.8;8 It All Starts with a Question;75 11.9;9 Innovate by Gut Feeling;75 11.9.1;9.1 Learn to Ask Questions Again;76 11.10;10 The Innovation Canvas;76 11.10.1;10.1 What Do We Want to Innovate?;77 11.10.2;10.2 Why Are We Doing This?;78 11.10.2.1;10.2.1 Trigger;78 11.10.2.2;10.2.2 Demand;78 11.10.2.3;10.2.3 Value Proposition;78 11.10.2.4;10.2.4 Competitive Advantages;78 11.10.3;10.3 Who Do We Do It For?;79 11.10.3.1;10.3.1 Target Groups;79 11.10.3.2;10.3.2 Marketing;79 11.10.3.3;10.3.3 Pilot Application;79 11.10.3.4;10.3.4 Expansion Stages;80 11.10.3.5;10.3.5 Activities;80 11.10.3.6;10.3.6 Resources;80 11.10.3.7;10.3.7 External Partners;81 11.10.3.8;10.3.8 Other Projects;81 11.10.4;10.4 How Does It Pay Off?;81 11.10.4.1;10.4.1 Cost Structure;81 11.10.4.2;10.4.2 Project Budget;82 11.10.4.3;10.4.3 Revenue Streams;82 11.10.4.4;10.4.4 Risks;83 11.11;11 Nothing Worth Without Culture;83 11.12;12 Drive Your Innovation Culture!;83 11.13;13 Conclusions;84 11.14;Reference;84 12;Innovative Technologies in the Ageing Population: Breaking the Boundaries;85 12.1;1 Introduction;85 12.2;2 Demographic Shift;86 12.3;3