AI Agents Podcast Leading Data Reliability in the Age of AI - A Conversation with Lior Gavish, CEO & Co founder | EP65
Aug 8, 2025
Lior Gavish, CTO and Co-founder of Monte Carlo Data, shares his expertise in data observability and reliability. He discusses how organizations are moving from experimentation to production-scale AI deployments. Lior highlights the importance of robust observability tools to prevent human errors and enhance data reliability. The conversation also delves into AI's impact on workflows and the job market, emphasizing the need for engineers to adapt their skills for future opportunities in the evolving tech landscape.
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Observability Agents Accelerate Reliability
- Monte Carlo shipped monitoring and troubleshooting agents to automate reliability work.
- These agents accelerate manual tasks and embed observability into team workflows.
Outsource Internal Tooling Where Possible
- Use third-party specialists for internal AI and dev workflows instead of building everything in-house.
- Focus your team on unique customer problems that only you can solve.
Telemetry Gives A Competitive Edge
- Lior Gavish says Monte Carlo's telemetry and context let them reduce surprises and speed fixes.
- They cut troubleshooting time by around 80% even before using AI.