Thank you for a great Data + AI World Tour - we look forward to seeing you next year! If you missed the event, you can attend our virtual event on January 14, 2026.
Perché partecipare al Data + AI World Tour
Unisciti alla Data + AI community nella tua città e scopri perché i leader del settore scelgono Databricks per unificare e semplificare le loro architetture di dati, analisi e Intelligenza Artificiale.
- Apprendi
Partecipa e lasciati ispirare da relatori coinvolgenti e specialisti del settore, pronti a guidarti nell’evoluzione delle tue strategie di dati e intelligenza artificiale. - Connettiti
Crea connessioni preziose, scambia idee e condividi esperienze con professionisti affini, esperti in materia e opinion leader. - Partecipa
Partecipa a sessioni pratiche e demo interattive per approfondire le tue competenze ed esplorare applicazioni reali di dati e IA.
Agenda
| 8:00 AM - 9:00 AM |
Registrazione Accoglienza e ritiro badge |
| 8:00 AM - 9:00 AM 10:30 AM - 6:00 PM |
Expo Visita gli stand dei nostri Sponsor Partner |
| 9:00 AM - 10:30 AM |
Keynote Ascolta interventi ispirazionali da speaker di rilievo |
| 10:30 PM - 11:00 PM |
Coffee break Coffee break disponibile nell'area Expo. |
| 12:00 PM - 16:30 PM |
Breakout Sessions Scegli tra 17 diverse Breakout Session |
| 1:00 PM - 2:00 PM |
Business Lunch Pranzo a buffet nell'area Expo. Saranno servite opzioni vegetariane, vegane e adatte ad allergie alimentari |
| 4:30 PM - 5:00 PM |
Saluti e Intervento di chiusura Si ritorna nella sala principale per l'intervento di chiusura dell'evento |
| 5:00 PM - 6:00 PM |
Cocktail Reception Un piacevole momento di networking finale nell'Area Expo. |
Il Training si terra' il giorno precedente la conferenza principale. Nota: è necessario essere registrati all'evento principale per poter partecipare alla formazione.
| 2:00 PM - 2:30 PM |
Registrazione Accoglienza |
| 2:30 PM - 6:00 PM |
Training
|
Speaker
Head of Financial Services EMEA
Databricks
Country Leader, Italy
Databricks
Customer Excellence Global Advance Analytics & Innovation Manager
EssilorLuxottica
Solutions Architect
Databricks
Responsabile Integrazioni e Dati
Gruppo Hera
Head of Data Hub Factory
Fastweb+Vodafone
Head of Digital Solution
Gruppo Hera
Senior Delivery Solutions Engineer
Databricks
Global IT Senior Manager Data Platform
Campari
Cloud & AI Lead
Microsoft
Solutions Architect
Databricks
Data Strategy Manager
CRIF
Data Platform Manager
Unipol
Account Executive
Databricks
Product Manager
Nexi Group
Solutions Architect
Databricks
Lead Data Architect
Bludigit, Italgas
Project Manager
Gruppo Hera
Head of IT AI, Data Digital
Iveco Group
Data Architect
ENI Plenitude
Global IT Director EA & Data & Automation Technologies
Campari
Manager Data &AI
Cluster Reply
Databricks Champion
DXC Technology
Data Engineering Manager
Venchi
Senior Data Engineer
Data Reply
Senior Data Engineer
Teamsystem
Head of Digital Unit
GRUPPO HERA
Solutions Architect
Databricks
Senior Solutions Architect
Databricks
Manager, Field Engineering
Databricks
IT Project Manager
Generali
Data Engineering Manager
Teamsystem
Senior Specialist Solutions Engineer
Databricks
Director
Avvale
Manager Databricks Data & AI
Cluster Reply
Solutions Architect
Databricks
Senior Specialist Solutions Engineer
Databricks
Solution Architect
Databricks
Executive Manager
NTT Data
Director
Iconsulting
VP, Chief Evangelist
Actian, a division of HCLSoftware
Sr. Manager, PMM
Databricks
Senior Data Architect
Avvale
Data Platform Manager
Gruppo Hera
CTO
Syrto
CFO
Allianz Bank
Director
Accenture SPA
Senior Data Engineer
Nexi Digital
Solution Architect
NTT Data
Sessioni in evidenza
Allianz Bank – The Data Driven Journey
Allianz Bank has undertaken an ambitious digital transformation journey with the goal of becoming a truly data-driven bank, empowering all business units to leverage data strategically as a driver of innovation and value. In collaboration with Accenture, the bank has designed and implemented a centralized and governed Data Platform, based on the Datalakehouse model, capable of overcoming the fragmentation of legacy systems and fostering a widespread data culture across the organization. Key pillars of the initiative include: • a strong focus on data quality, supported by robust Data Governance and Data Quality frameworks; • a clear commitment to the democratization of AI and Analytics, aimed at lowering barriers to adoption and making these technologies accessible and impactful for all business functions.
Becoming Frontier with Azure Databricks | Sponsored by: Microsoft
Attraverso la sessione puoi scoprire come diventare una “Frontier Company” adottando strategie AI-first. Insieme vedremo come agenti intelligenti, Copilot e l’ecosistema Microsoft che include le soluzioni partner com Azure Databricks, possano trasformare dati in valore, accelerare innovazione e rafforzare fiducia e sicurezza digitale. Un’occasione unica per capire come l’AI può aiutarti a raggiungere i tuoi obiettivi e distinguerti in un mercato in continua evoluzione
Beyond the Lakehouse: Making AI-Ready Data a Reality with Unified Metadata Intelligence | Sponsored by: Actian
As organizations scale AI initiatives on platforms like Databricks, one challenge remains: bridging the gap between the data in the lakehouse and the vast, distributed data that lives elsewhere. Turning massive volumes of technical metadata into trusted, business-ready insight requires more than cataloging what's inside the lakehouse — it demands true enterprise-wide intelligence. In this session, Actian CTO Emma McGrattan will explore how combining Databricks Unity Catalog with the Actian Data Intelligence Platform extends visibility, governance, and trust beyond the lakehouse. Learn how leading enterprises are *Integrating metadata across all enterprise data assets for complete visibility * Enriching Unity Catalog metadata with business context for broader usability * Empowering non-technical users to discover, trust, and act on AI-ready data * Building a foundation for scalable data productization with governance by design.
Building an Open CDP on Databricks: Hera Case Study | Sponsored by: iConsulting
Il Gruppo Hera ha avviato la Trasformazione Digitale per valorizzare il patrimonio informativo e abilitare strategie di marketing data-driven, superando i limiti delle precedenti DMP. Con Iconsulting ha realizzato una Customer Data Platform aperta, basata su Databricks Lakehouse, integrata in Azure, che segue i principi di Data Mesh e Federated Governance. La soluzione permette l’ingestion di dati da fonti eterogenee (Salesforce, SAP, IoT, cookies, etc), di unificarli in profili cliente 360°, segmentare le audience per use case di marketing avanzato (come churn prevention) e attivare campagne omnicanale in modalità near real-time. Sono stati sviluppati oltre 150 Data Product e definiti standard di governance, processi di qualità e modelli predittivi per il churn. L’adozione di Databricks ha permesso di sfruttare funzionalità di data engineering, ML e orchestrazione in ambiente scalabile e cloud-agnostic, riducendo il rischio di lock-in e favorendo l’interoperabilità
Building Production-Ready AI and Multi-Agent Systems With Mosaic AI
More than 80% of AI projects fail. The reason? Customers are not ready to put AI in production in areas where the Agent can cause reputational or financial harm. Introducing Agent Bricks, a new approach to deploying production-ready AI Agents. Agent Bricks uses novel research techniques to automatically generate domain-specific synthetic data and task-aware benchmarks. Based on these benchmarks, it automatically optimizes for cost and quality, saving enterprises from the tedious trial-and-error of current approaches. Now, teams can achieve production-level accuracy and cost efficiency right from the start.
This session will show you how to build and scale real-world AI systems using Agent Bricks. We’ll cover how to design multi-agent systems that combine retrieval, reasoning, and generation to answer complex questions grounded in your enterprise data. Along the way, you’ll see how to track experiments, fine-tune performance, and build workflows that are reliable, governed, and built for scale.
Building the ChocoVerse: from SQL to PySpark
VENCHI Customer Session
Campari Data Journey: Optimization, Centralization and Innovation with Cluster Reply | Sponsored by: Cluster Reply
In collaboration with Cluster Reply, the Campari Group has embarked on an evolution of its data platform with Databricks, moving towards a more efficient, centralized, and innovative model. Through cost optimization, the adoption of shared development guidelines, and advanced analytics tools, the company has enhanced data quality, made processes more sustainable, and strengthened decision-making capabilities. This approach has paved the way for new innovation opportunities, ensuring smarter data management and readiness to support the Group’s future strategies.
Databricks SQL: Getting Started and What’s New with Live Demos
"New to Databricks SQL or just trying to keep up with everything that’s been added? This session gives you both. We’ll start with a fast-paced introduction to Databricks SQL, including how to set up a warehouse, load data, run queries, and build dashboards in just a few minutes. You’ll get a clear view of how the platform supports analysts, developers, admins, and business users with a simple and intuitive interface.
From there, we’ll dive into the latest features, with live demos and real-world use cases. We’ll cover the new SQL editor, coding enhancements, streaming tables, materialized views, BI integrations, system tables, observability, and cost management tools. We’ll also show how AI is being used under the hood to optimize performance and help you get the most out of your workloads. Whether you're just starting out or looking to stay current, this session will get you up to speed."
Financial Services Insurance Forum
Discover how data and AI are transforming the financial services and insurance industries. Join industry leaders and Databricks experts to explore real customer success stories, practical insights, and innovative use cases driving measurable impact across the sector.
Agenda:
15:30 - 15:35 : Welcome — Speaker: Cyril Cymbler, Michele Guglielmo
15:35 - 16:05 : Shifting to Financial Intelligence — Speaker: Cyril Cymbler
16:05 - 16:30 : Customer Story: Generali & Databricks
16:30 - 16:55 : Customer Story: Nexi & Databricks
16:55 - 17:25 : Presentazione Tecnologica Databricks (business user friendly) — Demo Hyper Personalization - Speaker: Lorenzo Tagliaferri
17:25 - 17:30 : Q&A e Chiusura - Speaker: Cyril Cymbler, Michele Guglielmo
From a great Idea to Impact: How Databricks Turned Vision into Reality
ENI Plenitude Customer Session
Get started with AI Agents (training delivered in Italian language)
This course is an introduction to AI agents, their role in modern AI applications, and how to build AI agent applications on the Databricks Platform. You'll learn about the principles of AI agents, how they differ from traditional AI systems, and explore their key components. Through interactive demos and hands-on labs, you'll see how to build, deploy, and evaluate AI agents on Databricks using Mosaic AI and Agent Bricks. By the end of this course, you'll understand how to create and deploy AI agents using the Databricks Data Intelligence Platform.
This course will help you:
- Understand how AI agents differ from traditional AI systems and learn real world use-cases across various industries.
- Differentiate between agentic and non-agentic AI approaches, and explore the roles of LLMs, tools, memory, and workflows in building AI agents.
- Learn the various ways to build and manage AI agents on Databricks, including how to use Mosaic AI to build, deploy, and monitor AI agents.
- Understand how you can use Agent Bricks to create enterprise-grade agents with no code and minimal setup.
Recommended experience:
Python programming
Basic understanding of Databricks, including Unity Catalog
Familiarity with ML/AI concepts
HERA_Mesh: A Data Story
Customer speaker session
Introducing Lakeflow: The Future of Data Engineering on Databricks
Data engineering doesn’t have to be a patchwork of tools and handoffs. In this session, we’ll introduce you to Lakeflow, Databricks’ unified solution for building reliable, scalable data pipelines with less friction and more control. Whether you’re just getting started or managing complex workflows, Lakeflow brings together ingestion, transformation, and orchestration into one cohesive experience.
We’ll walk through the key components, including Lakeflow Connect, Declarative Pipelines, Jobs, and the new Lakeflow Designer—a visual interface that makes it even easier to build and manage pipelines with minimal code. You’ll see live demos of no-code ingestion, code-optional transformation, and unified orchestration across your data estate.
We’ll also share what’s coming next, including support for open source tooling and expanded no-code capabilities. You’ll leave with a clear understanding of how Lakeflow simplifies your stack, increases productivity, and provides a strong foundation for building high-performance, governed data pipelines at scale.
Keynote
Hear from Databricks Executives and regional customers on the transformative power of data and AI.
- Iveco Group’s Journey Towards an AI-Ready Data Platform: Fabio Ricciato, Head of IT AI, Data Digital, Iveco
- Zero-Copy: How SAP Databricks disrupts ETL: Alessandro Gattolin, Head of Data Hub Factory, Fastweb.
Lakebase: Fully Managed Postgres for the Lakehouse
Lakebase is a new Postgres-compatible OLTP database designed to support intelligent applications. Lakebase eliminates custom ETL pipelines with built-in lakehouse table synchronization, supports sub-10ms latency for high-throughput workloads, and offers full Postgres compatibility, so you can build applications more quickly.In this session, you’ll learn how Lakebase enables faster development, production-level concurrency, and simpler operations for data engineers and application developers building modern, data-driven applications. We'll walk through key capabilities, example use cases, and how Lakebase simplifies infrastructure while unlocking new possibilities for AI and analytics.
Leveraging Databricks Unity Catalog for Enhanced Data Governance at Unipol
Data Reply Sponsor Session
One Platform, A Thousand Sources: from Raw Data to Financial Intelligence
Financial Intelligence built from data, powered by agentic AI. This is our goal at Syrto, where we unify financial data, analysis, market research, and scouting in one solution – enabling our customers to increase revenues, reduce costs, and mitigate risks.
Databricks makes this possible. Its Lakehouse architecture allows us to connect a multitude of heterogeneous sources into a single, reliable foundation where data becomes instantly usable. From ingestion to ML model tracking with MLflow, Databricks lets us focus on what truly matters: transforming raw data into actionable financial intelligence.
In this session, we’ll share how this foundation powers Syrto’s analytics and modeling workflows, helping us deliver faster, smarter, and more transparent insights at scale – with just a small team.
Prima dell'AI: come Hera ha costruito la cosa più difficile, la fiducia nei dati
Modelli predittivi e AI funzionano solo se i dati sono solidi. La Direzione Sistemi Informativi di Gruppo Hera ha affrontato la sfida che viene prima: unificare fonti frammentate da consociate diverse, creando una governance reale e costruendo una base dati unica su Databricks, creando armonia informativa permettendo di illuminare le decisioni strategiche del business.
Scale text2SQL with authorization decision engine to 2+Millions customers
Text2SQL tools in agentic platforms have specific challenges when humans are the end users of your product. How can you make sure they have access to the same resources when using both the product and the AI agents? How can permissions be aligned? We’ll explore how TeamSystem has integrated its existing policy engines with the Text2SQL tool running on Databricks data products. This integration will allow us to safely scale our AI agents.
Turn SAP data into enterprise value with a data-driven lakehouse strategy on Databricks | Sponsored: by Avvale
Avvale supported a global company in transforming SAP ERP data into reliable information, ready to generate value through AI, leveraging the Databricks Lakehouse. With deep expertise in SAP S/4 and SAP Datasphere and Databricks data engineering, Avvale guided the client from fragmented systems to a unified, data-driven ecosystem. A key enabler was Avvale’s proprietary framework, which accelerated the acquisition, mapping, and modeling of SAP data, making it easily accessible and consistent across different business areas. This was complemented by robust governance practices to ensure security, traceability, and data consistency. The results include a 60% reduction in time-to-insight, improved enterprise-wide data alignment, reduced infrastructure costs, and a solid foundation for implementing advanced analytics and AI use cases.
Unity Catalog: From Foundations to Best Practices
Whether you are just getting started with data governance or working to scale it across the enterprise, this session will walk you through how Unity Catalog helps simplify secure access, discovery, and collaboration for data and AI.
We will start with the fundamentals of Unity Catalog, explain how it works, and why it plays a central role in governing data and AI across clouds, teams, and workloads. Then we will dive into the latest product updates, including live demos that show new capabilities in access control, lineage, discovery, and monitoring. You will also get a first look at upcoming features and hear insights from customers already running Unity Catalog in production.
The session wraps with clear guidance on how to design and roll out Unity Catalog effectively. We will cover how to structure catalogs, manage permissions, and build for multi-cloud and multi-region environments. If you want a practical understanding of Unity Catalog and how to apply it in your organization, this session is for you.
Welcome Lakehouse 2.0: oltre i dati, Apps e AI/BI per accelerare collaborazione e innovazione | Sponsored by: DXC
Dopo aver raccontato al Data & AI 2024 il percorso di evoluzione della piattaforma dati, quest’anno mostriamo come il Lakehouse Databricks sia diventato una piattaforma adottata su larga scala. L’adozione estesa è stata resa possibile da alcuni elementi chiave: il Lakehouse Portal con Databricks Apps, che offre training, roadmap e un canale diretto con il team Data, favorendo onboarding e collaborazione tra le diverse funzioni aziendali; la funzionalità Request for Access, che semplifica e accelera l’accesso ai dati; e l’utilizzo di Genie con dashboard AI/BI per monitorare KPI di adozione, consumi FinOps e qualità del dato. La nuova esperienza utente offerta da Databricks One darà un ulteriore impulso all’adoption, consolidando il Lakehouse come punto di riferimento aziendale per lavorare con i dati e generare valore reale.
Women in Data + AI Panel
Donne che Innovano: Leadership Femminile tra Data & AI
Un confronto su come le donne stanno guidando progetti innovativi, favorendo una cultura della trasformazione digitale e superando barriere storiche nelle aziende tech
Sponsor
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| Quanto costa partecipare al Data + AI World Tour? | Tutte le tappe del Data + AI World Tour sono gratuite |
| Ho difficoltà a registrarmi. Come posso ricevere assistenza? | Per favore, scrivi a rita.dauria@databricks.com. |
| Come posso registrarmi per la formazione? | La programmazione delle sessioni di formazione sarà disponibile in prossimità dell'evento. Riceverai un’email di notifica quando la pianificazione sarà aperta nel catalogo delle sessioni. |
| Verranno forniti pasti che tengano conto di restrizioni alimentari? | Forniremo pasti vegetariani e vegani. Se hai altre restrizioni alimentari, scrivi a rita.dauria@databricks.com e faremo del nostro meglio per soddisfare le tue esigenze. |
| Dove si svolge l’evento? | L'evento si terrà presso Superstudio Più, via Tortona 27, 20144 Milano. |
| Ci sono altre location del Data + AI World Tour a cui posso partecipare? |
Visita la pagina del Data + AI World Tour per vedere tutte le tappe del tour. Consulta la nostra pagina eventi per scoprire i prossimi eventi Databricks. |
| Come posso raggiungere la sede dell'evento? |
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| Ci sono parcheggi vicino alla sede dell'evento? | Parcheggio Mudec - Via Tortona, 56, 20144 Milano MI
Vercelli Solari Parking - Via Cola di Rienzo, 57, 20144 Milano MI |
