AI is changing the testing and validation landscape. With the use of predictive analytics, domain experts can make better data-driven decisions to avoid product launch delays, improve product quality, reduce costs, and ultimately accelerate time-to-market. In his talk, Dr. Richard Ahlfeld, CEO and founder of Monolith, will address four key areas where AI is having a significant impact on product development, namely test data validation, test campaign optimisation, root-cause analysis and system calibration.
Automotive Testing Expo is the world’s leading international expo for every aspect of automotive testing, development and validation technologies, taking place every year in Detroit, Shanghai and Stuttgart. In Europe, as elsewhere, it is the leading event for the technologies and services in ADAS and autonomous vehicle testing, electric and hybrid powertrain testing, battery and range testing, EMI and NVH test and analysis and the full spectrum of test and validation technologies for full-vehicle, component and systems development.
With the power of AI, you can model battery performance across the design space with a fraction of a traditional test plan. Using the Next Test Recommender, you can apply multiple machine learning algorithms at once to chart your testing path using the fewest steps possible incrementally.
Predict the critical tests to run
Test too much and you waste time confirming what you already know. Test too little and you risk missing performance issues. Schedule, quality, and your career depend on finding the balance.
Run the most important tests and skip the rest
Optimize resources spent on costly test rigs and facilities
Validate your designs faster with fewer prototype iterations
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