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  • Start Time:
    12:40PM
  • End Time:
    01:00PM
  • Day:
    Day 1

Talk:

  • This presentation will cover what organisations need to understand and have in place in order to deploy ML models at scale while minimising risk.
  • Joel Hodgson will discuss the common challenges faced by organisations when scaling ML model deployment and how to overcome them. He will discuss different use cases at different stages of ML maturity, as organisations move into deploying explainers and monitoring alongside their models.
  • Sean Greaves will then walk through the creation, deployment, monitoring and management of a ML model using a real life use case and covering a range of practical tasks including training models on pre-processed datasets, deploying model artefacts with Seldon Deploy and using explainers and outlier detection to gain insight into model decisioning.

Associated Speakers:

Joel Hodgson

UK MLOps Lead

Seldon

Associated Talks:

02:00PM - Day 1

View PRERECORDED PANEL: Built to scale – Ramping up AI projects

12:40PM - Day 1

View VIRTUAL: Deploying and Managing ML Models at Scale

10:40AM - Day 1

View Deploying and Managing ML Models at Scale

02:20PM - Day 1

View Panel: Built to scale – Ramping up AI projects

View Full Info

Sean Greaves

Lead Solutions Engineer

Seldon

Associated Talks:

12:40PM - Day 1

View VIRTUAL: Deploying and Managing ML Models at Scale

10:40AM - Day 1

View Deploying and Managing ML Models at Scale

View Full Info