On November 11, EASI kicked off the first of three sessions with Microsoft to explore how Azure OpenAI can help evolve the ROSI codebase. The team delved into how developers can create AI prompts to boost productivity and tackle the different complexities of ROSI.

One of the main takeaways?

AI can analyze existing code, explain what it does, and assist with migration to more modern platforms, saving time and effort. Additionally, Azure OpenAI provides U of T control over proprietary code, ensuring privacy and ownership. With AI supporting their efforts, the team could focus on the creative problem-solving that will drive ROSI’s future evolution.