Rui Vasconcelos, Canonical and Michael Boros, Dell
As artificial intelligence reshapes traditional and new industries, challenges arise for enterprises looking to innovate. Dell and Canonical address these topics in our upcoming webinar.
Join us to discuss:
- What happens after you have trained your AI model? This spans model deployment for inference at the edge, to inference serving, to distributed training and the handling of new data, to the underlying setup and operations.
- The importance of reliable hardware and software layers in critical applications and the benefits of using specialised data science workstations with Linux.
- How to streamline your AI operations to shorten your deployment cycles.