Find out where AI best fits into your engineering workflow 👇 eu1.hubs.ly/H03XZDY0 Implementing AI into the engineering workflow leads to reduced expensive & labour-intensive testing, decreased risks to product performance & quality, and faster prouduct development.

Want to find out about 4 ways in which you can cut validation costs? Build shorter test plans, create fewer prototypes, find errors faster, and validate designs more quickly using AI-based self-learning models. Learn more now: eu1.hubs.ly/H04gbqF0

Read "The Intersection of AI and Engineering" to stay up-to-date on the latest advances in artificial intelligence. It's a must-read for tech enthusiasts and engineers. 🚀 eu1.hubs.ly/H04gbr10 Explore how AI is revolutionizing engineering🏗️🤖 #AI #Engineering #Innovation

Learn about our latest product release, the Next Test Recommender (NTR). This tool actively suggests validation tests for developing nonlinear products in industrial, automotive, and aerospace applications. Read more here: eu1.hubs.ly/H04jHzc0

Artificial Intelligence has the ability to revolutionise automotive R&D and AI research by exploring the right data strategy. Hear from automotive expert Oliver Walter in this exciting new blog: eu1.hubs.ly/H04jHzg0

Discover how 'AI algorithms will unlock the true value of R&D data' in this article by Automotive World: eu1.hubs.ly/H04vpmz0

Integrating Monolith in your verification and validation process can enhance operational efficiency and streamline testing procedures, reducing reliance on excessive physical tests. learn more: eu1.hubs.ly/H04jHzG0

Don't miss our "Next Test Recommender" webinar on July 26th at 5 PM CET. Discover AI-powered recommendations and revolutionize your testing strategies. 🚀 Sign up now!🔗 eu1.hubs.ly/H04vpmQ0

Gain valuable insights into your data with time series analysis in 15 minutes! We invite you to join us for "The Power of Time Series Models" webinar July 19th at 4 PM CET. 📆 👇By signing up now, you can learn how to unlock your data's full potential: eu1.hubs.ly/H04vpmX0

Find out where AI best fits into your engineering workflow 👇 eu1.hubs.ly/H04vpmY0 Implementing AI into the engineering workflow leads to reduced expensive & labour-intensive testing, decreased risks to product performance & quality, and faster product development.

Discover how to train and evaluate machine learning models, receive personalized recommendations for the next tests to perform, and optimize the testing process in Monolith's exclusive on-demand webinar: eu1.hubs.ly/H04DRzf0

Are you equipped to incorporate AI into your engineering organization? Evaluate your readiness with our AI-Readiness quiz and gauge your capacity to implement AI. 👉 eu1.hubs.ly/H04DRzF0 Assess your AI readiness with our scorecard now.

Battery Testing 'Woes' to 'Wows'⚡ Discover how our cutting-edge solution addresses OEM challenges, solves key battery testing problems, and transforms the future of electric vehicles with AI. 🚗🔋 eu1.hubs.ly/H04MnZl0 #ElectricVehicles #Innovation #BatteryTesting

In this upcoming webinar, Monolith's CEO will demonstrate how to achieve the same results. Dr. Ahlfeld will also address three major challenges faced by EV manufacturers that can be strategically solved with AI. Register now: eu1.hubs.ly/H04_6r_0

Check out this on-demand webinar from Monolith! Our engineers will show you how to train and evaluate machine learning models, receive recommendations for the next tests to perform, and optimise the testing process overall. Watch now: eu1.hubs.ly/H04_6vN0

Check out this recent report from Automotive World that explores technologies and trends shaping mobility R&D, including #Monolith! Read now:eu1.hubs.ly/H0522240

3 Stages of AI-Powered Adoption for Engineering | Monolith eu1.hubs.ly/H06tfM50

Sensitivity Analysis for Battery Data & Input Parameters | Monolith eu1.hubs.ly/H06DyNf0

Responsible AI: Information Security & Sustainability | Monolith eu1.hubs.ly/H06M1yw0