AI in Practice: Lessons from Building Real-World Products
Daniele Contessi, FluidData srl
What does it take to build AI products that actually work in the wild?
In our September session, Daniele Contessi shares insights from founding and growing an AI-focused company – and the challenges that come with turning smart ideas into scalable, real-world solutions. From data and model limitations to integration headaches and deployment strategy, Daniele will walk us through a selection of real projects and the key lessons learned along the way.
This session offers a candid look behind the scenes of applied AI development – full of practical insights for anyone navigating the space between experimentation and production.
Join us to explore what it really means to build AI that work.