This panel discussion focuses on the evolving landscape of observability in AI-native software systems. CDF Ambassadors explore the unique challenges and requirements that arise as artificial intelligence (AI) becomes deeply integrated into software delivery pipelines. They discuss various topics, including
- The distinction between traditional observability practices and those needed for AI-driven architectures.
- Strategies for monitoring, debugging, and maintaining transparency in machine learning models and data pipelines.
- The importance of continuous feedback, explainability, and ethical considerations in AI operations.
Panelists:
- Yair Etziony
- Paweł Piwosz
- Moïse Kameni
- Garima Bajpai
- Ajashe Nwapa
