Speeding Up Your Vehicle Development Process with AI-Based Virtual Testing

Webinar Collaboration with Management Events & Aurora Live 
Fuel Your Growth: Accelerating Development Processes in Automotive with the Help of AI 

 

resting or testng product development webinar monolith-1

RESTING OR TESTING?‍

In a fast-changing environment like our VUCA world companies need to think about ways to accelerate their product development processes to keep up the pace of their customers and stakeholders. AI can be the key to success here and we will learn more about how to use it correctly in the following hotspot session:

Being able to accurately understand and predict the performance of physically complex vehicle systems under all operating conditions
Getting your product to market faster with data-driven models instead of relying on expensive, time-intensive prototype tests
Going faster from sensor data to insights: from vehicle dynamics to wind tunnel to crash testing measure and monitor tyre degradation, and used AI and collective ingenuity to take the podium at the world’s most competitive motorsports race.

 

Join Management Events

Who should watch?

Engineers spending time doing repetitive, costly & time-intensive tests

Engineers working on cutting edge projects and products in engineering R&D

Engineers who want to test less, learn more, and explore their test data

Anyone interested in using self-learning models for complex systems

Meet our speakers

Gaurav

Dr. Gaurav Kumar

After a decade-long career with Siemens Digital Industry Software, Gaurav has embarked on a new journey in the world of artificial intelligence at Monolith. Over the years, Gaurav has helped engineers from automotive, aerospace & defense, marine, and other mechanical industries understand and solve complex challenges using both simulation and physical tests.

 

 

 

jousef webinar

Jousef Murad

Jousef is responsible for product marketing at Monolith. He studied mechanical engineering at the Karlsruhe Institute of Technology (KIT) where he focused on computational mechanics, turbulence modeling & AI.