Developing AI and ML models for autonomous vehicles requires robust data pipelines, fast iteration cycles, and cross-functional collaboration. This presentation explores how Agile and DevOps principles can be applied to streamline AI development and data management in autonomous systems. We will cover practices for managing continuous data ingestion, model training, validation, and deployment at scale. Emphasis will be placed on automation, testing, and feedback loops that support both safety and performance. Attendees will gain insights into building scalable, efficient, and adaptive pipelines that keep pace with evolving AV technology and regulatory requirements.

In this presentation, you will learn:

• How Agile improves responsiveness in autonomous AI development workflows
• DevOps strategies for managing ML data pipelines and deployment
• Techniques for automating testing and validation of AI models