About this webinar
The successful mass production of autonomous vehicles requires complex model deployments at scale. Join our hands-on session where we’ll walk through practical use cases and deploy, monitor and explain ML models based on our customers’ experiences in pioneering the widespread production of these vehicles.
According to PwC, car manufacturers and suppliers’ greatest challenge is to follow legislative requirements while at the same time ensuring cost-effective manufacture and meeting the demands of consumers. To overcome these challenges, the sector is rapidly evolving to strategically use artificial intelligence to focus on optimizing using the massive volumes of data it produces.
In our practical session on 20th July, the Seldon team will walk through some practical use cases based on our customers’ experiences. Kelly Spry, Solutions Engineer, will dive into some of the applications for the production of autonomous vehicles. She’ll take a look at common challenges and opportunities from use cases like explainability in image classification on warning detection systems and monitoring vehicle usage feedback models for drift.
What you'll learn
- Efficiently deploy models and speed up time to value
- Explainability in image classification on warning detection systems
- Monitoring vehicle usage feedback models for drift