Organizational Machine Learning: Provenance for Data, Pipelines, and Deployments

Learn how provenance, typically thought of as a model deployment problem, can help make the development of machine learning models more repeatable, understandable, and robust.

MACHINE LEARNING
Organizational Machine Learning: Provenance for Data, Pipelines, and Deployments

When: Wed Feb 16, 2022 at 16:30 UTC

Where: Linkedin Events

Dr. Phil Winder shares experiences of Winder.AI’s machine learning consulting experience at a variety of large and small organizations. In this talk he focuses on ML tooling, and how provenance, typically thought of as a model deployment problem, can help make the development of machine learning models more repeatable, understandable, and robust.

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About This Series

Welcome to Winder.AI talks. A series of free interactive webinars hosted by Dr Phil Winder, CEO of Winder.AI, Author of O’Reilly’s Reinforcement Learning and one of the founders of the MLOps Community, covering a range of topics about the use of machine learning operations (MLOps), reinforcement learning (RL), and machine learning (ML) in industry today.

Gather technical insights and understand ways in which you can empower your organization through the application and operation of Artificial Intelligence (AI). Each event is fully interactive with its very own dedicated Q&A session at the end of each session.