Christian Ewertz

About this author

Christian Ewertz is Director of Market Development at PTC and is responsible for strategic market and ecosystem initiatives in Central Europe. His focus is on Product Lifecycle Management (PLM), Application Lifecycle Management (ALM), Digital Twin, Industrial AI, and the Intelligent Product Lifecycle. In this role, he works closely with customers, industry associations, and technology partners to drive digital innovation and open industry standards.

Before joining PTC, Christian held leadership positions at Deloitte, MHP, and CENIT, advising international companies in the automotive, semiconductor, aerospace, and industrial manufacturing sectors. He has more than 15 years of experience in digital transformation, engineering processes, and industrial software platforms, as well as degrees in mechanical engineering, computer science, and business engineering.

Christian explores how digital engineering, Industrial AI, and open industry standards can help companies implement an Intelligent Product Lifecycle and leverage the value of interconnected product and enterprise data.


This author’s blogs

This author’s blogs

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Application Lifecycle Management (ALM) Augmented Reality Computer-aided Design (CAD) Engineering Calculations Enterprise Asset Management (EAM) Industrial Connectivity Industrial Internet of Things Product Lifecycle Management (PLM) Service Lifecycle Management (SLM)

Aerospace and Defense Automotive Electronics and High-Tech Energy and Resources Industrial Equipment MedTech Retail and Consumer Products Software and Technology

Additive Manufacturing Agile Artificial Intelligence Asset Centricity BOM Management Closed-Loop Quality Cloud Native Connected Devices Customer Experience Digital Thread Digital Transformation Digital Twin Education Engineering Collaboration Enterprise Collaboration Field Service Generative Design Increase Manufacturing Productivity Industrial Skills Gap Industry 4.0 IT/OT Convergence Life at PTC Math Software Model-Based Definition Predictive Analytics Predictive Maintenance Product Line Engineering PTC Reality Lab Quality Management Regulatory Compliance Remote Service Requirements Management Risk & Test Management SaaS Service Optimization Service Parts Service Revenue Simulation Software Development Sustainability Technician Efficiency Training Variant Management

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Application Lifecycle Management (ALM) Augmented Reality Computer-aided Design (CAD) Engineering Calculations Enterprise Asset Management (EAM) Industrial Connectivity Industrial Internet of Things Product Lifecycle Management (PLM) Service Lifecycle Management (SLM)

Aerospace and Defense Automotive Electronics and High-Tech Energy and Resources Industrial Equipment MedTech Retail and Consumer Products Software and Technology

Additive Manufacturing Agile Artificial Intelligence Asset Centricity BOM Management Closed-Loop Quality Cloud Native Connected Devices Customer Experience Digital Thread Digital Transformation Digital Twin Education Engineering Collaboration Enterprise Collaboration Field Service Generative Design Increase Manufacturing Productivity Industrial Skills Gap Industry 4.0 IT/OT Convergence Life at PTC Math Software Model-Based Definition Predictive Analytics Predictive Maintenance Product Line Engineering PTC Reality Lab Quality Management Regulatory Compliance Remote Service Requirements Management Risk & Test Management SaaS Service Optimization Service Parts Service Revenue Simulation Software Development Sustainability Technician Efficiency Training Variant Management

Product data realizes its full value when it is reliably available, understandable, and usable throughout the entire product lifecycle. This is exactly where the Asset Administration Shell (AAS) comes in.