AI + Containers: Better Together

Artificial intelligence is increasingly packaged in containers, enabling the smooth deployment of machine learning models and applications. And that means that typical problems associated with containers--like bloat and CVEs--are more often than not imported into AI applications. And the typical dependency issues of AI applications are coming to containers.

In this webinar, we’ll provide insights from recent research that included interviews with data scientists, machine learning engineers, and AI practitioners. We’ll explore pressing challenges teams face when deploying AI in containers, such as:

• Managing bloated containers that hinder performance and complicate workflows.

• Addressing security concerns, from the mundane to the exotic.

• Navigating dependency issues with tips on how to avoid it altogether.