Using Auto-Label and Uncertainty Estimation for Active Learning
Featured Speaker: Tyler Mckean, Head of Customer Success at Superb AI
In computer vision and machine learning operations, data labeling is an essential part of the overall workflow. And for most ML teams, utilizing manual and even AI-assisted workflows for data preparation have been the typical approach. However, with recent advancements in automation technology, it’s now imperative that teams re-evaluate the various approaches to data labeling to further determine if automation is a viable solution. Tyler McKean, Superb AI’s Head of Customer Success, will go through the various techniques used in Superb AI’s Auto-Label, a dive into real world examples of how companies utilize Superb AI’s automation tools and a step-by-step demo on how to train and use Auto-Label with Uncertainty Estimation for rapid active learning.
- 12:00pm – 12:30pm: Feature Presentation
- 12:30pm – 1:00pm: Your Q&A and Interaction
About Enterprise Data & AI:
The Enterprise Data & AI Community is geared toward innovative companies pushing the boundaries of what’s possible with Artificial Intelligence and cognitive technologies. This community is focused on the enterprise data side of AI including: Data Engineering, Data Preparation, Data Labeling & Annotation, Sourcing and Generating Data, and All Other Topics Data-Related and AI