By Ashley Reyes
Engineers, product developers, calibration specialists and technical professionals still have time to register for the SEMA Emerging Trends & Technology Network (ETN) virtual education session, "Using AI to Turn Engineering Data Into Clear Decisions: Reducing Iterations Across Design, Testing and Calibration," taking place on Tuesday, May 19, at 12:00 p.m. PT/3:00 p.m. ET.
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. This webinar will cover how AI is being applied to help technical teams reduce noise, identify meaningful patterns and support confident decisions across design, testing, tuning, calibration and customer tech support workflows.
Attendees will learn where AI provides practical value in engineering analysis, where its limitations must be understood, and how teams are using AI-assisted insights to reduce rework and unnecessary development iterations while maintaining performance, safety and compliance standards.
Following the session, attendees will know how to:
- Identify which engineering data signals matter most during product development and validation.
- Use AI-assisted analysis to reduce noise and uncover meaningful trends.
- Improve alignment between engineering and product teams through clearer data interpretation.
- Understand practical limitations and validation requirements when applying AI to engineering data.
- Reduce rework and iteration cycles without compromising technical rigor.
- Utilize AI tools and bots to assist customer technical support.
Moderated by Kannan Parekh, founder and CEO of Allion Tech, this session will feature speakers Bob Morreale, president at The Tuning School, Inc.; and Kelleigh Shankel, CEO at Limelight Logic.
As the webinar approaches, now is the time to register and gain insights from industry leaders who have demonstrated history in developing, implementing and utilizing AI solutions for product development, engineering, technical support and marketing.
