Unlock
industrial data
Three-part webinar weries
Make your production data usable across systems – from the machine to the cloud.
Unlock production data for Cloud, Analytics & AI
The Unlock Industrial Data webinar series, hosted by Novotek Switzerland, demonstrates how industrial data can be structured and made usable for data-driven applications. Across three compact sessions, we cover the key steps along this journey – from existing data models and data provisioning for cloud platforms to enabling production data for AI applications.
Each webinar combines a short expert introduction with two practical use cases, showing how common challenges can be effectively addressed in real-world scenarios.
Unlock Industrial Data (available in GERMAN only)
Webinar #1
Leveraging the PI Asset Framework as an Industrial Data Model – Across System Boundaries
Date: May 5
Time: 1:30 PM
Language: German
The PI Asset Framework is already an established structure in many organizations for modeling assets, processes, and production context. In this webinar, we show how these existing models can be leveraged to integrate data from different source systems and provide it consistently to downstream systems.
You will learn how modeled data simplifies cross-system integration, structures information in a clear and understandable way and reduces the effort required for additional integrations.
Webinar #2
Using Production Data in Cloud Data Platforms – Structured and Centrally Managed
Date: May 12
Time: 1:30 PM
Language: German
For many organizations, Snowflake is a central component of their data architecture. However, making production data truly usable requires more than simple connectivity. This webinar shows how the HighByte Intelligence Hub prepares and delivers industrial data for Snowflake in a structured and consistent way.
This enables you to leverage production data for analytics and data engineering, establish consistent data structures and avoid building individual integrations for each use case.
Webinar #3
Enabling Production Data for AI Agents – with MCP
Date: May 27
Time: 1:30 PM
Language: German
MCP introduces a new approach to making industrial data and functionality accessible to AI agents. Rather than simply transferring data, the focus is on enabling targeted access to information and processes.
This webinar covers the role of the HighByte Intelligence Hub in this architecture, new opportunities for agent-based applications and practical approaches to making production data usable in AI-driven contexts.
The challenge
Common Barriers to Industrial Data Utilization
For cloud, analytics, or AI applications, it is not enough for data to simply exist. It must be structured, contextualized, and usable across systems.
Heterogeneous structures
OT and IT often use different models and terminologies
Lack of context
Raw data exists but is not sufficiently contextualized for data-driven use
Custom integrations
Point-to-point integrations increase complexity and effort
Limited scalability
New use cases often require additional integration work
The Role of the HighByte Intelligence Hub
The HighByte Intelligence Hub enables organizations to structure and deliver industrial data from multiple systems. Instead of just moving data, it contextualizes information, makes data understandable across systems and creates a consistent data foundation.
This allows new applications to be implemented faster and with significantly less integration effort.
Register for free (available in GERMAN only)
Sign up for one or more sessions in the Unlock Industrial Data series and gain concise insights into modern industrial data architectures with the HighByte Intelligence Hub.
The webinars are hosted by Novotek Switzerland. If you experience any issues with registration, please contact: karin.rau@novotek.com oder rebecca.seemann@novotek.com.
Who should attend?
This webinar series is designed for professionals in OT (Operational Technology), IT and Data & Analytics who want to make industrial data usable for cloud, analytics, and AI applications in a structured and scalable way.
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