Responsible AI: Information Security & Sustainability | Monolith https://t.co/NoDGNQJL5q

Sensitivity Analysis for Battery Data & Input Parameters | Monolith https://t.co/TVzyN3VFkc

3 Stages of AI-Powered Adoption for Engineering | Monolith https://t.co/MfU37epEI2

The use and development of AI within business is starting to become more common place, and with that comes new security risks. In this weeks’ episode Mel is joined by Æsc George from @Monolith_AI to discuss the benefits of adopting #ISO27001: https://t.co/4AMrgTWwel

Check out this recent report from Automotive World that explores technologies and trends shaping mobility R&D, including #Monolith! Read now: https://t.co/wPoTcCeR9t

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:

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:

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. 🚗🔋 https://t.co/zXU9OFb9wr #ElectricVehicles #Innovation #BatteryTesting

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. 👉 https://t.co/nlU0JoIWbN Assess your AI readiness with our scorecard now.

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:

Find out where AI best fits into your engineering workflow 👇 https://t.co/luuMShwXPb Implementing AI into the engineering workflow leads to reduced expensive & labour-intensive testing, decreased risks to product performance & quality, and faster product development.

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:

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!🔗

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

Discover how 'AI algorithms will unlock the true value of R&D data' in this article by Automotive World: https://t.co/e1l522ss7M

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:

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:

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. 🚀 https://t.co/Z6LwAyBolM Explore how AI is revolutionizing engineering🏗️🤖 #AI #Engineering #Innovation

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:

Find out where AI best fits into your engineering workflow 👇 https://t.co/2Udjh0UIl7 Implementing AI into the engineering workflow leads to reduced expensive & labour-intensive testing, decreased risks to product performance & quality, and faster prouduct development.