Machine Learning

Machine Learning

The stage dedicated to Machine Learning, focusing on techniques, models, and practical applications in real-world projects.
Here you’ll explore expert insights and case studies to understand how to implement effective ML solutions.

Room Hosting

Roberto Digennaro
Roberto Digennaro
Senior Data Analyst
24 JUNE
25 JUNE
26 JUNE
I Patagarri - Live Concert I Patagarri - Live Concert
Valerio Lundini & I Vazzanikki - Live Concert Valerio Lundini & I Vazzanikki - Live Concert
Dardust - Live Concert Dardust - Live Concert
Ditonellapiaga - Live Concert Ditonellapiaga - Live Concert
N.A.I.P. - Live Concert N.A.I.P. - Live Concert
Opening Ceremony Opening Ceremony
25 june 11:50 - 12:20
30 min
25 june 12:40 - 13:10
30 min
Building AI agents in regulated industries is not about the model, but the system around it. In this talk we share how we built a scalable RAG pipeline over hundreds of thousands of documents across many data sources, with strong security guardrails, observability and evaluation. We cover architecture decisions, UI/UX tradeoffs for compliance, dynamic interfaces, and how we use user feedback to continuously improve the system.
25 june 14:30 - 15:00
30 min
Every organization has access to the same AI. So why are results so different? The gap isn't the license, it's the infrastructure surrounding it. This session dismantles the assumption that AI performance is a procurement problem, and why Context Engineering is where ROI actually lives. Steal a diagnostic framework to find where your AI budget is leaking value today.
25 june