16 January 2026 11AM EDT
Join us Tuesday, January 26th at 11 AM ET for the fourth webinar in our nine-part Toward the Future of AI-Enabled Data-Driven Engineering (DDE) series, “Authoritative Source of Truth.” Engineering organizations generate enormous amounts of data across models, tools, disciplines, and lifecycle stages. The challenge is ensuring that information remains consistent, connected, traceable, and trustworthy.
Join Dr. Jerry Sellers, an experienced space systems engineer, educator, and author with more than 40 years of space systems experience, as he examines the role of an ontology-governed Authoritative Source of Truth (ASoT) in Data-Driven Engineering. Rather than simply collecting models and documents in one location, an ASoT establishes the governance, semantic consistency, traceability, and concordance necessary to create a trusted representation of the system throughout its lifecycle.
Key Takeaways:
- What defines an Authoritative Source of Truth in a Data-Driven Engineering environment
- Why an ASoT is more than a centralized collection of engineering models and data
- How ontology-based governance supports semantic consistency and traceability
- How an “ASoT Matrix” can be used to organize and guide technical data management
- How linking information across disciplines can reduce redundancy and inconsistencies
- How authoritative lifecycle data can provide decision-makers with greater confidence in engineering information
- Live Q&A with Dr. Sellers
Who Should Attend:
- Systems Engineers
- Digital Engineers
- MBSE Practitioners
- Engineering and Program Managers
- Data and Enterprise Architects
- Professionals responsible for configuration, data governance, or digital transformation