Data & AI Summit
Harness the power of AI to revolutionize your data collection, analysis, and decision-making processes.
Artificial Intelligence (AI) is revolutionizing data strategies by enabling organizations to unlock insights from large datasets, automate operations, and enhance resource allocation. Data democratization is gaining importance, making data accessible to non-experts and fostering a collaborative, data-driven culture. High data quality is essential for reliable AI outputs and sound decision-making, emphasizing the need for accurate, consistent, and timely data.
Harness the power of AI to revolutionize your data collection, analysis, and decision-making processes.
Artificial Intelligence (AI) is revolutionizing data strategies by enabling organizations to unlock insights from large datasets, automate operations, and enhance resource allocation. Data democratization is gaining importance, making data accessible to non-experts and fostering a collaborative, data-driven culture. High data quality is essential for reliable AI outputs and sound decision-making, emphasizing the need for accurate, consistent, and timely data.
Overview
The Data & AI Summit will gather Italian Digital Leaders to discuss the challenges and opportunities related to managing data and AI initiatives in an ever-evolving global context. We will explore how, with the growth of digital operations, CXOs will have to face the issue of technical debt, which limits flexibility and hinders innovation. We will also talk about modernizing IT environments through cloud services, APIs, and no-code/low-code platforms.
We will then explore the expanding role of automation and hyperautomation, which is becoming a key trend to improve efficiency across various sectors. Generative AI will also be a central topic, with increasing focus on demonstrating its real impact on business, both from vendors and end-users.
We will also discuss the skill gap and the importance of upskilling employees through automation tools and AI-driven platforms, enabling a larger portion of the workforce to interact with complex technologies.
Finally, we will address the evolution of the regulatory landscape. As the complexity of data privacy laws, AI regulations, and ESG issues grows, IT leaders will need to learn strategies to address compliance issues, especially with the introduction of new regulations like the EU AI Act.
Roberta Bigliani
Roberta is the leader of the European industry research team at IDC. Her responsibilities encompass overseeing research coverage across the full range of sectors, including Energy & Utilities, Resources, Financial Services, Healthcare and Life Science, Government, Infrastructure and Transportation, Manufacturing, and Retail.
She is also involved in IDC’s Future of Industry Ecosystems and Future of Operations practices as the executive sponsor for Europe.
Roberta’s core expertise lies in industry and business transformation, with a distinct emphasis on the energy and utilities sector. She possesses a strong understanding of applying digital technologies to innovate core business processes, enhance customer experiences, and seamlessly integrate IT and operational technology.
Moreover, drawing from her extensive background in industry research and strategic advisory, Roberta offers insights into industry-specific implications of topics such as artificial intelligence, the future of work, and sustainability.
These insights are provided to both technology suppliers and buyers seeking informed guidance.
Roberta’s contributions extend beyond research and advisory, as she frequently speaks at conferences and moderates discussions.
Roberta is based in the IDC Italy office in Milan.
Giovanni Cervellati
Giovanni Cervellati is a research manager in IDC Europe’s software group, supporting the European Intelligent Analytics and Data Strategies practice across both research and consulting projects. His core research coverage includes user practices and the cultural aspects of analytics software usage, as well as demand and supply trends in advanced analytics and business intelligence.
A native Italian, he is based in IDC’s Frankfurt office. He has a technical background and worked as an SPSS (IBM) employee as a data mining consultant, performing analysis and training for the Italian market using SPSS products and software. He then became a data scientist working as an independent consultant for some of the biggest corporates in Italy, with a strong focus on predictive analytics and machine learning.
He studied in Bologna, Italy, and has a bachelor’s degree in statistics.
Fabrizio Degni
Fabrizio Degni is a distinguished AI Ethics and Governance researcher, technology evangelist, and President of the Italy Chapter for the Global Council for Responsible AI. Guided by his philosophy “Ask not if it can be done, nor how, but only if it should be done,” he is deeply committed to exploring technological frontiers while ensuring AI serves humanity’s common benefit through ethical, transparent, and accountable innovation.
Recent Recognition & Leadership: Degni was honored with the “Premio per l’Impegno Etico nella Cultura Algoritmica” (Award for Ethical Commitment in Algorithmic Culture) at the inaugural AI Awards Italy 2025, hosted by ENTE NAZIONALE per l’INTELLIGENZA ARTIFICIALE – E.N.I.A.® in Milano. This prestigious recognition celebrates his commitment to education and critical reflection on algorithms, ethics, and AI governance. As President of the Italy Chapter for the Global Council for Responsible AI, he leads a growing community of 500+ members across 71 nations dedicated to shaping responsible AI through ethics, transparency, and accountability principles.
Professional Expertise: As Chief of Artificial Intelligence, Degni’s research focuses on sociotechnical risks introduced by emerging AI technologies, particularly AI agents and autonomous systems. His analysis of AI agent systems in IBM’s 2025 AI Ethics Report highlighted critical challenges of opacity, complexity, and non-reversibility in autonomous systems, contributing to frameworks for evolved governance models and ethical oversight.
Certifications & Credentials: Degni holds the AI CERTs™: AI+ Executive Certification (scored 90/100, May 2025) and specialized certifications from Stanford University (“AI Awakening: Economic and Society Implications”), edX (“AI Ethics for Professionals”), Copenhagen Business School, Microsoft, and Politecnico di Milano. His advanced credentials include ISO 42001:2023 AI System Management / ISO 9001 certifications and designation as a Certified AI Ethics & Governance Professional (CAEGP).
Thought Leadership: A frequent speaker and panel participant, Degni recently contributed to the “Alfabetizzazione e Innovazione” (Digital Literacy and Innovation) panel, discussing human and digital memory alongside leading experts. His work encompasses value alignment, bias mitigation, transparency, and actionable governance frameworks for AI implementation across multiple sectors.
Marika Lilla
Giuseppe Ficara
Alessio Setaro
Nicola Sandoli
Venue
Magna Pars Event Space Via Tortona 15, 20144, Milano
Tucked in Milan’s trend-setting Tortona district, this venue blends chic industrial design with modern flair. With sleek rooms, tech-ready facilities, rooftop access, and gourmet catering, it’s perfect for everything from conferences to cocktail receptions.
Knowledge Hub
Rethinking AI and Innovation: From Output-Driven to Process-Centric
Most of the hype related to GenAI in the industrial environment centers around applications and use cases. I call this output-driven. Users and internal sponsors find it easy to understand this approach because they can see the benefits and ROI of the solutions. There is a tool, clear CAPEX and OPEX, and an obvious result.
How to Help Your Customers Through the Growing Pains of AI Adoption
Welcome to the wild world of AI adoption, where companies are caught in a whirlwind of buzzwords, shiny new toys, and the constant fear of missing out. Today, we’re looking at a peculiar plague sweeping across Western Europe’s businesses: pilotitis and its close cousin, acute proof of concept (POC) syndrome.
The 7 Axes of Data Platform Selection in the Era of AI: A Primer
In the realm of data platform decision-making, organizations typically consider several dimensions when making their choices. These encompass aspects including functionality, performance, scalability, cost, flexibility, and alignment with specific use cases.
Contact Us
Jacopo Mancini
+39 342 9487861
jmancini@idc.com
Kikki Godskesen
+34 677 199 909
kgodskesen@idc.com
Stay tuned for exciting news!
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