)
From data to agent: adopting and governing AI in data delivery
Data, context, control: the three ingredients that determine whether a data AI project works or remains an experiment. An event in two tracks, for those starting from scratch and those already using AI, featuring a central practical case and a live demo.
)
Where to start and how to keep everything under control:
two speeds, a single data strategy for AI
The adoption of AI on business data is proceeding at very different speeds: some are still taking their first steps, while others already have agents in production but struggle to keep costs, quality, and compliance under control.
In both cases, the real obstacle is rarely the choice of model: it is the ability to work with data and knowledge that is often fragmented, incomplete, distributed across legacy systems and heterogeneous sources — a condition that, more than an exception, is the norm.
During the event, you will discover how to tackle it, no matter what your starting point is.
What you will see
The event addresses the topic from two complementary perspectives:
How to start in a smart and sustainable way, for those taking their first steps in adopting AI on data
How to govern what is already in production, keeping costs, quality, and compliance of active agents under control
A live practical case: an architecture of orchestrated agents designed to automate the most critical phases of data development and management, capable of reconstructing knowledge even where it seems completely absent.
The result:
A faster adoption path, regardless of the starting point
Greater control over costs, quality, and compliance of agents in production
Reconstructed knowledge even from fragmented or incomplete data
AGENDA
The Event Program
An afternoon of discussion on how companies are taking agentic AI from experimentation to production, with talks, a panel discussion and a live demo.
4:30 PM
Registration & Welcome Coffee
Check-in, a first coffee and time to visit the demo points and our Terrace before the sessions begin.
5:00 PM
Target Reply Introduction
Naica Tedesco, Partner at Target Reply, opens the event and outlines the afternoon’s program.
5:20 PM
Adopting AI in the enterprise: two speeds, one strategy
Carlo Veronesi, AI Engineer at Target Reply, explains how to build an AI strategy that works both for companies starting out and for those already scaling agents in production.
5:40 PM
From experimentation to production: how companies approach Agentic AI
With Luca Mancini, Head of Data Science at Agos; Mauro Plumari, Head of Area Chapter and Methodologies at Intesa Sanpaolo; Simone Palamara, Lead Data Scientist at Axa. Moderated by Naica Tedesco.
6:25 PM
Agentic Data Pipeline Factory
A live demonstration by Vincenzo Cimino, Lead at Target Reply.
6:40 PM
Closing remarks, networking & aperitivo
Final remarks followed by informal conversation over drinks, with the demo points still open and the possibility to visit our Terrace.
How to start adopting AI on data in a smart and sustainable way
How to manage costs, quality, and compliance of agents already in production
How an orchestrated agent architecture works for data development and management
How to reconstruct knowledge even from fragmented or incomplete sources
Target Reply
Target Reply is the company of the Reply group specialized in creating Big Data and Advanced Analytics solutions. Target Reply supports companies from identifying needs to designing and implementing solutions through data integration technologies, data modeling, predictive analytics, using the most innovative tools in the field of Business Discovery and Big Data. Target Reply has gained significant experience with major Italian and foreign corporate groups and is capable of operating in all key markets: Telco, Finance, and Manufacturing.