System One Models, Part 1: AIOps Use Cases

​Part 1 of a two-part live knowledge share hosted by Seneca engineers.

​AI that decides instead of writes.

​Most AI models answer by generating text, one word at a time. System One models, named after Kahneman's fast, intuitive thinking, work differently. They read text or data, answer a set of predefined questions at once, and return each decision with a confidence score.

​Youssef Omar Bouden (Jr. DevOps Engineer) walks through how System One models can support and automate operations work.

​You'll learn:

• ​How System One models like Jev (TypeSafe AI) work, and why calibrated confidence matters

• ​How to let a fast model handle the routine operational decisions it's confident about

• ​When to route uncertain decisions to an LLM or a human engineer

• ​Live demo: triaging cluster alerts in milliseconds

​🎓 Certificate of attendance Attend both Part 1 and Part 2 to earn your certificate. Register for Part 2 (Nov 13): https://luma.com/pat0iue6

​📍 Online ⏰ 16:00 GMT+1