July 18, 2022, 5:18 p.m. | Sam Charrington

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) twimlai.com

Today we continue our Data-Centric AI Series joined by Audrey Smith, the COO at MLtwist, and a recent participant in our panel on DCAI. In our conversation, we do a deep dive into data labeling for ML, exploring the typical journey for an organization to get started with labeling, her experience when making decisions around in-house vs outsourced labeling, and what commitments need to be made to achieve high-quality labels. We discuss how organizations that have made significant investments in …

data data labeling labeling success

More from twimlai.com / The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Data Management Associate

@ EcoVadis | Ebène, Mauritius

Senior Data Engineer

@ Telstra | Telstra ICC Bengaluru