Learn how to consistently and reliably deploy and maintain AI applications.
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About the webinar
Research shows that less than 50% of all AI algorithms are ever deployed.
That’s a lot of time and effort wasted.
While cultural and process issues have a role to play, the technical path from development to production has proven rocky.
Deploying and maintaining AI applications at scale requires a different approach.
That’s why experienced AI practitioners have turned to MLOps.
Building on tried-and-true methods like DevOps and CI/CD, MLOps allows a multitude of AI models to be seamlessly deployed and maintained.
Join us as we explore:
- Why you need to learn from software engineering methods.
- How to upgrade DevOps to the new world of data and AI.
- Ways to adapt existing architectures and tools to deploy AI.