As organisations race to adopt generative AI to increase operational efficiency and accelerate innovation, observability is critical across AI-powered applications to ensure apps are secure, reliable and cost-effective.

AI observability is the practice of monitoring and understanding AI models and systems to ensure they perform as expected in real-world applications.

In this session, hear from Myrvin Yap, Principal Solutions Engineer and Adam Gardner, Staff Engineer and Cloud Native Computing Foundation (CNCF) Ambassador, as we explore how you can deliver sustainable, reliable, cost-effective services powered by generative AI through unified observability and security.

In this session, we will cover:

• Building more sustainable products by monitoring AI infrastructure
• Running AI models at scale by monitoring resource consumption and cost
• Understanding user experience by measuring user satisfaction
• Managing token consumption and tie cost to business outcomes
• Gain full visibility into AI apps with detailed workflow analysis
• How you can get started and try for yourself in under 10 minutes