Advances in AI have provided transformational value across all industries within the last decade. With more models now being built than ever to power mission critical business systems, how do we make sure that our models are working properly, especially in high-stake use cases? Further, in an ever changing world, how do we trust that our models are constantly adapting, and providing us with the right decisions?
MLOps is a rapidly emerging practice that seeks to address the above questions. This talk will provide an introduction to the key considerations required to manage your model's life-cycle once it has been deployed, as well as best practices for governance and model monitoring.