Luca Pozzoli
My academic path allowed me to obtain a master's degree in mathematics, while my working career led me to coding.
Currently working as an AI & software engineer, I focus on building AI solutions: starting from the prototype, features are added incrementally to build the final product. I like comparing this to the work of a craftsman, who keeps on refining and improving its own work.
What else? In my spare time I like watching movies, listening to music and playing boardgames.
Software & AI Engineer
Your company –Intre' S.r.l. | Memoria
Session
What if your AI assistant could travel through time, rewriting the rules of documentation as it goes?
In this talk, we’ll take you on a journey to the future of knowledge management, where your assistant doesn't rely on outdated documents. Instead, it can ingest real-time information via chat, making sure that this new data takes priority over the old. Powered by cutting-edge Generative AI, LLMs, Bots, and a Retrieval-Augmented Generation (RAG) architecture, our system is capable of time-traveling knowledge, collecting, structuring, and storing it as the ultimate source of truth.
We’ll dive into the research and technical architecture that made it possible, exploring how we integrate dynamic knowledge injection, prioritize real-time inputs, and maintain consistency across the system. You’ll learn how we built an AI assistant that adapts to evolving needs without compromising on reliability or user experience.
So, buckle up! We’re about to take your AI into the present. No flux capacitor required!
Target audience: developers, ML engineers, product managers.
Expected duration of the talk: 40'