An insightful exploration of AI/ML Operations through the lens of real-world implementation. Drawing from his experience leading the development of Postbot at Postman, Sterling shares practical strategies for successfully deploying and maintaining AI systems in production environments.

This talk covers essential aspects of AI/ML Ops including:

- The Rapid Iteration Cycle: Learn how to implement a development methodology that emphasizes quick releases, user feedback, and continuous improvement
- Practical Implementation Strategies: Discover how to start small, remain AI-agnostic, and leverage existing tools creatively, even with limited resources
- Evaluation-Driven Development: Understand the critical balance between automated testing and human oversight in ensuring AI system reliability
- Scaling Considerations: Explore the evolution of infrastructure, team structure, and processes as AI products grow from MVP to enterprise-scale solutions
- Future Trends: Get insights into emerging developments in AI/ML Ops, including increased automation, explainable AI, and edge computing

Whether you're part of a startup or an established enterprise, you'll walk away with actionable insights for implementing and scaling AI/ML Operations effectively. This talk bridges the gap between cutting-edge AI innovation and practical, real-world implementation, offering valuable lessons from the frontlines of AI product development.