Standards-based Data Strategy for the Aerospace Industry
Peak Solution is visiting the Aerospace Test and Development Show (ATDS) 2025.
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30. September 2025 - 1 October 2025
Hall 7 MEETT, Toulouse France |
[In der Blog-Übersicht wird hier ein Weiterlesen-Link angezeigt]
ATDS is where global experts come together to shape the future of aerospace propulsion.
⁉️ But what’s the key ingredient to unlocking next-gen propulsion?
💡 Data.
Data is the fuel for innovation. To stay competitive, organizations must consolidate their data strategies and make decisions based on high-quality, accessible data.
To avoid vendor lock-in, foster collaboration and “coopetition,” and lay the groundwork for advanced analytics and machine learning, we need data standards.
One such standard is ASAM Open Data Services (ODS). Already proven in other industries, ASAM ODS brings metadata, semantics, and ontologies into play—turning raw data into AI/ML-ready assets that align with aerospace data governance policies.
With a standards-based data strategy, companies can:
- Connect existing data sources
- Break down silos
- Build centralized, future-proof data management systems
Let’s talk about how your organization can leverage data standards to drive innovation.
👉 Contact us to setup an appointment at ATDS 2025.
PS: In case you’re not registered for ATDS yet, click here for a free pass:
Connected solutions
You can click on the links to get more information about the individual components.
Peak Test Data Manager
Peak Test Data Manager is a future-oriented test data management system and uses the Peak Data Transfer Tool for data import.
Peak ODS-Server
Long term data storage including APIs for standardized and secure data access
Related topics
Python ASAM ODS Utilities
Open source libraries and examples for using ASAM ODS data in Python.
What is ASAM ODS?
The ASAM ODS standard defines APIs and formats for storing and retrieving test and measurement data.
What is a data model?
A data model defines the data context of your measurement data.
Standards as a Business Strategy
Data management standards define the interface for interoperability and data exchange.
Industry standards for software products
Standards help integrate software products with analytics tools and platforms and form the basis for machine learning and AI.
