If last year was the year of experimentation and proof of concepts using the large language models and generative AI, this year has been the year we have struggled to put this great technology to real use in larger organizations.

Turns out there is a lot more than spinning up a service and hand out some API keys, when it comes to designing secure, performant AI solutions - that can scale in a cost performant way and live up to as well enterprise governance standards as requirements around Responsible AI.

In this session we will cover some of the hard lessons learned working with Azure OpenAI and related services like AI Search and Cognitive Services - utilizing tools like Azure AI Content Safety, Well-architected Framework and the Azure landing zone concept - to build well designed, secure and compliant enterprise AI-solutions.