February 26-28, 2025
Montreal, Canada
AI and the SDLC/DevOps Conundrum
Integrating AI into your application transforms the traditional software development and DevOps lifecycle. Unlike standard code, LLM outputs can vary for the same input, leading to different accuracy levels. This affects both pre-deployment testing and post-deployment monitoring. To achieve and maintain quality, you will learn to apply ML/LLM Ops practices from data science within your software development and DevOps lifecycles.
Adam Englander
ZettaFi Labs
Adam Englander has been architecting and developing systems for over 30 years. He's also been a maintainer or contributor to significant projects in the OSS ecosystem. Most recently, Adam has been using artificial intelligence to revolutionize the insurance industry.
