Maria Maleshkova is an Assistant Professor at the Computer Science Department III of the University of Bonn. She has been working on IoT and service topics for the past 10 years, focusing on semantics-based data integration topics as well as on research in the areas of distributed applications, applied AI-methods, Web APIs and their joint use for developing innovative services. She has led the development and deployment of smart services in production companies and has a strong background in the fundamentals and technologies for implementing smart services.Niklas Kühl is head of the Applied AI Lab of the Karlsruhe Service Research Institute (KSRI) at the Karlsruhe Institute of Technology (KIT). He has been working on service-related machine learning (ML) and artificial intelligence (AI) for the past 5 years in different domains. He and his team are working on different ML & AI service solutions within healthcare services, industrial services, sales forecasting, production lines or even creativity. Niklas is internationally collaborating in his research efforts with the University of Auckland, the Wharton School of the University of Pennsylvania and the MIT-IBM Watson AI Lab.Philipp Jussen was responsible for the service management department at FIR at the RWTH Aachen for 4 years and was at the same time managing director for the Center Smart Services at the RWTH Aachen Campus. In addition to numerous benchmarkings and studies, he has extensive implementation and practical knowledge from consulting projects for industrial customers. Together with his team, he developed approaches to smart service engineering and smart service sales for companies in the industrial B2B sector.

• Part I: Introduction to Smart Services.- Introduction to Smart Service Management.- Grasping the Terminology: Smart Services, Smart Service Systems, and Cyber-Physical Systems.- Industrial Maintenance in the Digital World.- Part II: Smart Service Design.- Introduction to Smart Service Design.- Smart Service Engineering.- Smart Service Prototyping.- Capturing the Value: How to Charge for Smart Services.- Market Launch of Smart Services.- Part III: Smart Service Architecture.- Introduction to Smart Service Architectures.- Reference Architecture Models for Smart Services.- Reference ArchitectureModels for Smart Service Networks.- Smart Services in the PhysicalWorld: Digital Twins.- Part IV: Smart Service Analytics.- Service Analytics: Putting the “Smart” in Smart Services.- Part V: Smart Service Use Cases.- Introduction to Smart Service Use Cases.- Designing a Smart Service for Customer Need Identification in B2B Ticketing Systems.- Smart Services: A Condition Monitoring Use Case Utilizing System-Wide Analyses.- Developing Real-Time Smart Industrial Analytics for Industry 4.0 Applications.- How Transformational Management Enabled the Development of a Next Level Condition Monitoring Solution.

Maria Maleshkova is an Assistant Professor at the Computer Science Department III of the University of Bonn. She has been working on IoT and service topics for the past 10 years, focusing on semantics-based data integration topics as well as on research in the areas of distributed applications, applied AI-methods, Web APIs and their joint use for developing innovative services. She has led the development and deployment of smart services in production companies and has a strong background in the fundamentals and technologies for implementing smart services.Niklas Kühl is head of the Applied AI Lab of the Karlsruhe Service Research Institute (KSRI) at the Karlsruhe Institute of Technology (KIT). He has been working on service-related machine learning (ML) and artificial intelligence (AI) for the past 5 years in different domains. He and his team are working on different ML & AI service solutions within healthcare services, industrial services, sales forecasting, production lines or even creativity. Niklas is internationally collaborating in his research efforts with the University of Auckland, the Wharton School of the University of Pennsylvania and the MIT-IBM Watson AI Lab.Philipp Jussen was responsible for the service management department at FIR at the RWTH Aachen for 4 years and was at the same time managing director for the Center Smart Services at the RWTH Aachen Campus. In addition to numerous benchmarkings and studies, he has extensive implementation and practical knowledge from consulting projects for industrial customers. Together with his team, he developed approaches to smart service engineering and smart service sales for companies in the industrial B2B sector.

• Part I: Introduction to Smart Services.- Introduction to Smart Service Management.- Grasping the Terminology: Smart Services, Smart Service Systems, and Cyber-Physical Systems.- Industrial Maintenance in the Digital World.- Part II: Smart Service Design.- Introduction to Smart Service Design.- Smart Service Engineering.- Smart Service Prototyping.- Capturing the Value: How to Charge for Smart Services.- Market Launch of Smart Services.- Part III: Smart Service Architecture.- Introduction to Smart Service Architectures.- Reference Architecture Models for Smart Services.- Reference ArchitectureModels for Smart Service Networks.- Smart Services in the PhysicalWorld: Digital Twins.- Part IV: Smart Service Analytics.- Service Analytics: Putting the “Smart” in Smart Services.- Part V: Smart Service Use Cases.- Introduction to Smart Service Use Cases.- Designing a Smart Service for Customer Need Identification in B2B Ticketing Systems.- Smart Services: A Condition Monitoring Use Case Utilizing System-Wide Analyses.- Developing Real-Time Smart Industrial Analytics for Industry 4.0 Applications.- How Transformational Management Enabled the Development of a Next Level Condition Monitoring Solution.

Maria Maleshkova is an Assistant Professor at the Computer Science Department III of the University of Bonn. She has been working on IoT and service topics for the past 10 years, focusing on semantics-based data integration topics as well as on research in the areas of distributed applications, applied AI-methods, Web APIs and their joint use for developing innovative services. She has led the development and deployment of smart services in production companies and has a strong background in the fundamentals and technologies for implementing smart services.Niklas Kühl is head of the Applied AI Lab of the Karlsruhe Service Research Institute (KSRI) at the Karlsruhe Institute of Technology (KIT). He has been working on service-related machine learning (ML) and artificial intelligence (AI) for the past 5 years in different domains. He and his team are working on different ML & AI service solutions within healthcare services, industrial services, sales forecasting, production lines or even creativity. Niklas is internationally collaborating in his research efforts with the University of Auckland, the Wharton School of the University of Pennsylvania and the MIT-IBM Watson AI Lab.Philipp Jussen was responsible for the service management department at FIR at the RWTH Aachen for 4 years and was at the same time managing director for the Center Smart Services at the RWTH Aachen Campus. In addition to numerous benchmarkings and studies, he has extensive implementation and practical knowledge from consulting projects for industrial customers. Together with his team, he developed approaches to smart service engineering and smart service sales for companies in the industrial B2B sector.

• Part I: Introduction to Smart Services.- Introduction to Smart Service Management.- Grasping the Terminology: Smart Services, Smart Service Systems, and Cyber-Physical Systems.- Industrial Maintenance in the Digital World.- Part II: Smart Service Design.- Introduction to Smart Service Design.- Smart Service Engineering.- Smart Service Prototyping.- Capturing the Value: How to Charge for Smart Services.- Market Launch of Smart Services.- Part III: Smart Service Architecture.- Introduction to Smart Service Architectures.- Reference Architecture Models for Smart Services.- Reference ArchitectureModels for Smart Service Networks.- Smart Services in the PhysicalWorld: Digital Twins.- Part IV: Smart Service Analytics.- Service Analytics: Putting the “Smart” in Smart Services.- Part V: Smart Service Use Cases.- Introduction to Smart Service Use Cases.- Designing a Smart Service for Customer Need Identification in B2B Ticketing Systems.- Smart Services: A Condition Monitoring Use Case Utilizing System-Wide Analyses.- Developing Real-Time Smart Industrial Analytics for Industry 4.0 Applications.- How Transformational Management Enabled the Development of a Next Level Condition Monitoring Solution.