As engineering teams across the automotive aftermarket continue to generate massive amounts of data, one challenge remains constant: how to turn that data into clear, confident decisions.
On Tuesday, May 19, 2026, the Emerging Trends & Technology Network (ETTN) will tackle this issue head-on with its upcoming Virtual Education session, “Using AI to Turn Engineering Data Into Clear Decisions: Reducing Iterations Across Design, Testing, and Calibration.”
Designed for engineers, product developers, calibration specialists, and technical professionals, this session will focus on the practical application of AI. Attendees will gain real-world insights into how AI is being used today to reduce noise, identify meaningful patterns, and support smarter decision-making across development workflows.
The session will feature a panel of industry experts who bring hands-on experience implementing AI across engineering, product development, and technical support environments. Through a combination of presentation, moderated discussion, and audience Q&A, the panel will explore where teams often struggle—particularly when interpreting large volumes of test, scan, and validation data—and how AI can help bridge that gap.
Participants will walk away with a clearer understanding of:
- How to identify the most critical data signals during product development
- Where AI can streamline analysis and reduce unnecessary iteration cycles
- How to improve alignment between engineering and product teams through better data interpretation
- The limitations, risks, and validation requirements that must be considered when applying AI
Importantly, the session will also address where traditional engineering expertise remains essential, ensuring attendees leave with a balanced, realistic perspective.
As data complexity continues to grow, the ability to interpret and act on information efficiently is becoming a key competitive advantage. This session provides a valuable opportunity for ETTN members to learn how to leverage AI as a tool to enhance technical rigor, reduce rework, and improve overall development outcomes.
With a simu-live format that allows for real-time interaction, attendees will not only gain insights from the panel but also engage directly with peers facing similar challenges.
If your team is looking to work smarter with the data you already have, this is a conversation you won’t want to miss.