Building Reliable Data Pipelines for Effective AI: Insights from Yongsheng Wu

In this episode of Tech Teams Today, we dive into the vital importance of structuring reliable data pipelines before tackling AI and machine learning projects. Featuring Yongsheng Wu, VP of Engineering at Granica.ai, the discussion covers Wu's extensive experience in the field, including his roles at Pinterest, Twitter, and Salesforce. 

We explore essential steps for training an AI software engineer, emphasizing the significance of clean and well-labeled data, effective model evaluation, and the continuous improvement cycle of AI models. Wu also shares thoughts on the future of software engineering roles and remote work dynamics in engineering teams.

Tune in to gain valuable insights on building robust data foundations for AI success.