Safe and Sound AI is your go-to podcast for staying ahead in predictive and generative AI development. From pre-production design and post-production monitoring to governance and compliance, we deliver bite-sized episodes packed with technical insights and best practices. Designed for data scientists, engineers, trust and safety teams, and business leaders, our focus is to help you deliver and scale AI innovations with safety, trust, and transparency in mind. Safe and Sound AI is brought to you by Fiddler AI.

Safe and Sound AI
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Podcast Overview
Safe and Sound AI is your go-to podcast for staying ahead in predictive and generative AI development. From pre-production design and post-production monitoring to governance and compliance, we deliver bite-sized episodes packed with technical insights and best practices. Designed for data scientists, engineers, trust and safety teams, and business leaders, our focus is to help you deliver and scale AI innovations with safety, trust, and transparency in mind. Safe and Sound AI is brought to you by Fiddler AI.
Language
🇺🇲
Publishing Since
12/12/2024
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Recent Episodes

October 28, 2025
The Anatomy of Agentic Observability
As AI evolves from single agents into complex, multi-agent systems, the challenge of monitoring and trusting these autonomous collaborators grows. Traditional monitoring tools fall short, unable to interpret the dynamic, unpredictable nature of AI decision-making. This discussion explores "Agentic Observability," a new approach built to provide deep visibility into an agent's entire operational lifecycle: thought, action, execution, reflection, and alignment. By understanding the complete reasoning process, this paradigm moves beyond simple monitoring to become a necessary control layer, providing the transparency and trust required to unlock the true potential of sophisticated AI systems. Learn more: https://www.fiddler.ai/blog/agentic-observability-developmenthttps://www.fiddler.ai/blog/anatomy-ai-agent

July 24, 2025
Agentic Observability: The AI Architect's Essential Blueprint
In this episode of Safe and Sound AI, we dive into the challenge of moving AI agents from impressive demos to robust, production-ready systems. We break down the principles of Agentic Observability, explaining how this essential "blueprint" provides the clarity needed to overcome the "black box" problem during both development and production. Learn practical methods for monitoring key signals like tool usage and planning, discover how to diagnose the root causes of agent failures, and explore strategies for ensuring your agent delivers real-world value.

May 31, 2025
How to Identify ML Drift Before You Have a Problem
This episode explores machine learning drift, distinguishing between concept and data drift, and details detection methods using statistical tools to maintain model accuracy.
7 total episodes available
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Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is Safe and Sound AI?
- How often does this podcast release new episodes?
This podcast updates bi-weekly.
- Where can I listen to this podcast?
This podcast is available on 8 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
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