WEBINAR

Why Most Simulation Data Doesn’t Translate Into Engineering Impact (and How to Change That)

ON-DEMAND RECORDING WILL BE AVAILABLE SOON

  • How engineering teams establish end-to-end digital thread and traceability across R&D
  • Turning historical simulations into a searchable engineering knowledge base
  • Building an AI/ML-ready simulation data foundation without massive rework
  • Ingesting and validating supplier simulation data with confidence
  • Automating compliance, audit, and certification evidence using simulation data
  • Admin Assistant for simulation spend visibility and platform agents for automated troubleshooting and reporting

What You’ll Walk Away With…

Discover a clear framework for where Data Intelligence fits across PLM, SPDM, HPC, and AI initiatives — and where it delivers immediate value

Gain a practical understanding of which simulation data use cases to prioritize first (and why) based on real engineering workflows

Uncover a roadmap for turning simulation data into a trusted, reusable, AI-ready asset without disrupting existing systems

See how Rescale Admin Assistant and platform agents turn unified simulation data into automated insights, reporting, and operational visibility 

For many teams, engineering data is siloed across CAD, CAE, and simulation systems, making it difficult to find, trust, and reuse. Engineers lose time to rework due to poor traceability and limited reuse, while compliance and audit evidence remains manual, fragmented, and risky.

Meanwhile, infrastructure and storage costs continue to grow without visibility into value, leaving engineering knowledge trapped in files and individuals.

As teams push toward AI-driven engineering, this problem only gets worse: unstructured, disconnected simulation data becomes a bottleneck rather than a foundation.


This webinar dives into how Data Intelligence acts as a unifying layer across CAD, CAE, and simulation systems, reconnecting engineering data to restore traceability and enable reuse. We’ll explore how structuring and contextualizing simulation data transforms disconnected files into searchable, governed engineering knowledge, reducing rework and reliance on tribal knowledge.

You’ll also see how teams automate compliance and audit evidence, reduce risk, and gain visibility into infrastructure, storage, and data value. Together, these capabilities create a trusted foundation where engineering data compounds over time – supporting AI/ML readiness, supplier collaboration, and faster, more confident engineering decisions.

This session builds on our previous Data Intelligence webinars with the latest platform capabilities, including Admin Assistant visibility and emerging agentic workflows.

Meet Your Session Host

Garrett VanLee
Director of Product Marketing

LinkedIn

About Rescale

Rescale’s high performance cloud computing platform for modeling & simulation and applied AI accelerates innovation for any organization.  Enterprises in aerospace, automotive, energy, life sciences, manufacturing, and semiconductor industries use Rescale’s compute, data, and AI solutions to advance scientific discovery and deliver engineering breakthroughs.