Edge cases are a major challenge for ML models, and if addressed successfully, they become the greatest area of competitive differentiation in an AI project.
As a keynote speaker at the Machine Learning Developers Summit (MLDS) 2022, iMerit’s VP of Engineering, Sudeep George, discussed various edge case scenarios and how to overcome them to build a scalable data labeling pipeline.
Watch iMerit’s VP of Engineering, Sudeep George, discuss:
- Edge case scenarios in autonomous mobility and healthcare AI
- Importance of experts-in-the-loop in the development of AI systems
- Common challenges that companies face when deploying AI
- Pain points that occur during edge case resolution
- Tools and processes to solve edge cases with greater precision
