Get ready for the Live Rock Opening Show with Captain Joey Kent, an explosive live performance inspired by the iconic energy and atmosphere of Back to the Future. Expect powerful guitars, timeless rock vibes, and a high-energy opening designed to take the audience on a journey through music, innovation, and pure adrenaline.

AI cannot exist solely in the cloud or only on-premises. Hybrid AI is emerging as a necessary model to bring AI into production, aligning organizational structure, technical architecture, and economic sustainability. A decision-making framework to generate real value.

With Alessia Preda as host, the Tech Stage comes to life: a journey through innovation, real-world use cases, and the technologies shaping the future of AI.

In this talk, Matteo Laffranchi, Coordinator of the Rehab Technologies Lab at the Istituto Italiano di Tecnologia, will explore how Artificial Intelligence is transforming medical robotics. Through real-world examples and practical applications, he will demonstrate how intelligent systems and rehabilitation robots can adapt to patients’ specific needs—enhancing treatment effectiveness, accelerating recovery times, and advancing a more personalized and innovative approach to healthcare.

Luxia and Ferreri Costruzioni present a real-world case of artificial intelligence adoption in SMEs. Through on-premise conversational agents, Luxia transforms complex data into immediate responses in natural language, optimizing management control and decision-making processes without compromising data sovereignty.

Pasquale Viscanti and Giacinto Fiore officially open the seventh edition of AI WEEK 2026, the largest AI event in Europe, welcoming attendees to two days dedicated to innovation, artificial intelligence, and the future of business and technology. The Opening Ceremony will be further enriched by a special video message from Ekaterina Zaharieva, European Commissioner for Startups, Research and Innovation.

Your company is using AI to do the same things faster. That’s a strategic mistake. What if instead it should be used to redesign who does what—building companies that are smaller in headcount but more powerful in impact?

At AI Week 2026, we will present an architecture for autonomous, adaptable agentic systems oriented toward continuous learning. At the core of the solution, reasoning is separated from execution: a first multi-agent system composed of “Actors” and “Critics” collaborates in an adversarial setup to define the action strategy, also leveraging the history of past executions. A second multi-agent system, organized hierarchically, is responsible for execution and real-world implementation through specialized agents and operational functions, known as “Tools”. The system implements a reinforcement learning paradigm, where evaluating agents compare the generated outcome with user expectations, feeding a global and personalized memory that ensures continuous performance improvement and prevents the repetition of errors. The infrastructure, which is portable on-premise, guarantees full data sovereignty and security, featuring a modular and LLM-agnostic design that eliminates vendor lock-in risk. Finally, the multi-agent architecture ensures maximum explainability and transparency of decision-making processes, enabling the solution to evolve and scale in close collaboration with end users through co-design.

Predictive AI is the new frontier of business decision-making. Giochiamo. AI began by building predictive AI models capable of identifying and anticipating behavioral patterns. Starting from experience in the gaming sector—specifically to predict and prevent gambling addiction—it has evolved into marketing tools adaptable across industries, capable of forecasting consumer behavior.

European companies are now running LLMs in production. Inference providers are the plumbing underneath, which means they are critical infrastructure, and they present an attack surface nobody really knows how to defend. This talk covers a joint technical case study between Xference, a Sovereign European inference provider, and HikmaAI, showing how we designed a two-stage security architecture, adversarial testing before deployment, and runtime enforcement via the HikmaAI Intelligence Gateway. We walk through the threat model, the validation methodology we used against models and agentic workflows, the attack classes we caught before going live, and the runtime controls that now block prompt injection, jailbreaks, data exfiltration attempts, and policy violations on live traffic. We share real numbers, attacks found, attacks blocked, latency overhead, false positive rates, and without killing private inference performance.

From Ancient Greek to Autonomous Customer Service.

What if the real risk in the age of AI isn’t moving too slowly, but moving in too many disconnected directions? In this 10-minute TED-style talk, we explore why many organizations are scaling fragmentation instead of intelligence. You will gain a clear perspective on the shift from isolated AI tools to autonomous decisioning systems that act in real time. If you are navigating AI strategy or digital transformation, this session will challenge your thinking and sharpen your approach to what comes next.

Every AI coding agent runs on the same foundation models. The real differentiator is context: what information reaches the model, and how efficiently. In this speech we introduce Prism, an intelligence layer that sits beneath any coding agent, providing MCP-based code intelligence tools and a living architecture wiki. Benchmarks show 56% average token reduction and up to +12% higher solve rates on SWE-bench. This talk covers how Prism works, why context engineering matters more than model choice, and how teams can integrate it into existing agent workflows.

AI is not lacking. Method and priorities are. From “trendy” AI to real impact: a practical and accessible approach to help SMEs identify where AI truly creates value, apply it in a targeted way, and achieve concrete, measurable results.

Processes that don’t get stuck. Exceptions handled autonomously. Teams free to focus on what creates value. This is what happens when ServiceNow’s Autonomous Workforce comes into action. AI specialists solve end-to-end problems by learning from every interaction. Increasing volume, consistent quality, and governance built in from day one. Working less and producing more is not a paradox. It is the new standard.

How AI integrates into daily processes and transforms work into a smarter, more automated, and measurable flow.

With the AI Act, Europe is setting key rules to innovate safely. Compliance is not a constraint but an enabler: it reduces chaos and accelerates adoption. Let’s explore how to achieve this together.

Applying AI in production environments: anomaly detection, energy management, asset performance, perfect batch, and quality prediction are some of the models enabled by the AVEVA platform, which collects and organizes asset and process data into a centralized solution configurable by operational staff.

Un dialogo a due voci per raccontare un’iniziativa di trasformazione guidata dalla GenAI, nata da un’esigenza concreta di business e realizzata grazie all’adozione di tecnologie innovative. Dalla sfida iniziale alle scelte strategiche, dalla soluzione implementata ai benefici ottenuti, fino al ruolo chiave dell’approccio human‑in‑the‑loop e alle future evoluzioni del modello operativo.

Dashboards are disappearing. The future of human–machine interaction is conversational, and we are building it now. In this talk, we present Spoki’s new technology that translates natural language directly into automations, alerts, and complex marketing campaigns—without manual configuration. We show how we addressed the engineering challenges behind conversational state management, transforming business into a “living” entity capable of triggering entire workflows through a simple WhatsApp chat. All of this translates into one clear outcome: a messaging app that becomes the operational interface of an entire company, where technical complexity is abstracted by AI to make execution immediate and accessible to everyone.

As Artificial Intelligence becomes ubiquitous, leaders and organisations are no longer constrained by a technology gap, but by an imagination gap. Tools are evolving faster than our ability to rethink how we orient collective action, make decisions, and create value alongside machines. In this talk, Henri Allegra proposes a radical shift in perspective: the real challenge of AI is not adoption, but a transformation in the way we think. He introduces hybrid intelligence as a core leadership capability: the intentional integration of human insight, judgment, and values with machine reasoning. Used this way, AI becomes a metacognitive partner, making leaders aware of how they think, not only of what they decide. Leaders will be challenged to unlearn automation-era reflexes and relearn leadership from scratch in an AI-native world. The promise is a deeper human transformation: expanded imagination, renewed agency, and more responsible, innovative organisations in the age of hybrid intelligence.

The rapid rise of Agentic AI is reshaping the way we interact with and extract knowledge from Earth Observation data. Beyond traditional AI pipelines, autonomous agents powered by foundation models and emerging world models are enabling more adaptive, context-aware, and interactive approaches to data analysis, scientific discovery, and operational decision-making. This keynote will explore the transformative potential of these technologies for the Earth Observation domain and present the ongoing activities of the ESA Phi-lab in advancing research and experimentation on Agentic AI, foundation models, and next-generation intelligent systems for space and Earth science applications.

For years, creativity has been called the critical asset of marketing. But how do you produce enough creative variation every single week to feed advertising algorithms and activate 1,000 trigger points? Today, the real bottleneck in e-commerce is no longer creative—it’s operational. This session ներկայացs the architecture of an AI-first agency behind €10M e-commerce businesses, and why iteration speed has redefined what extreme-performance advertising really means. A practical roadmap for founders, growth managers, and creative directors who want to rethink and redesign their operations.

How far can organizations scale AI automation without exceeding the limits of governance, control, and sustainability? In the AI-driven era, true innovation comes from deeply understanding business needs and processes to build fast, modular, and scalable solutions. Strong governance over costs, security, and management ensures growth without sacrificing reliability, preventing today’s AI innovation from becoming tomorrow’s uncontrolled complexity.

Come INNOVIT, il Centro Italiano per l'Innovazione a San Francisco seleziona, prepara e accompagna ogni anno startup e PMI italiane sul mercato statunitense. Programmi, verticali della Call4INNOVIT 2026, modalità di accesso e cosa succede concretamente durante le settimane in Silicon Valley.

How do you move from experimentation to the concrete adoption of AI in a large nonprofit organization? In this session, Save the Children will share several real-world use cases that have already been implemented, both in programs serving beneficiaries and in internal operations. It will be a pragmatic discussion on opportunities, limitations, governance, and lessons learned—designed for anyone looking to understand how to truly introduce artificial intelligence into the nonprofit sector without stopping at theory.

In SME marketing and digital communication, the introduction of AI often occurs without real strategic alignment, risking the creation of more complexity than value. The issue is not the technology itself, but the ability to connect content, channels, and data from the company’s knowledge base to business objectives, activating them effectively through the potential of generative AI. The talk presents a consulting approach that starts from a strategic audit to design AI-ready marketing and communication ecosystems, where data, content, and touchpoints become truly queryable. Through the THINKLOOP framework and practical case studies, we will explore how to transform generic needs into operational questions, structuring data-informed and scalable processes while maintaining human governance.

Every minute in Italy, construction works begin on essential infrastructure for energy, water, and connectivity. However, these infrastructures suffer around one million damages each year, causing delays, service interruptions, and inconvenience for citizens and businesses. SINFI was created to address this challenge: the national infrastructure registry collects data from over a thousand operators, providing an integrated and accessible view of the territory. Today, thanks to artificial intelligence and Geo Intelligence, it is evolving into a predictive and proactive system capable of anticipating risks, supporting planning activities, and improving the quality of Public Administration decisions, making them faster, safer, and more sustainable.

This session introduces IT4LIA AI Factory, the strategic initiative supporting AI adoption in Italy through advanced high-performance computing infrastructure and a broad portfolio of services. The talk outlines the scope and objectives of the AI Factory, highlighting access to large-scale HPC and AI-optimised systems, as well as the services available to companies, startups, researchers, and public organisations. These capabilities are illustrated through a concrete use case, showing how IT4LIA resources can be applied to real scenarios. The session also explains how to access IT4LIA opportunities and support mechanisms, and presents SUK (System User Knowledge), the matchmaking service integrated within the AI Factory that connects companies with innovative AI startups and solution providers to address specific innovation needs.

We are at the beginning of a fundamental shift where AI is evolving toward native multimodal reasoning. By leveraging Google Cloud’s unified technology stack, companies can achieve the Agentic Shift: the transition from passive systems to autonomous agents that proactively operate on behalf of the user. This session explores how to scale these innovations to anticipate needs and solve problems in real time, delivering an unprecedented customer experience.

The idea finally wins over the medium. For decades, execution belonged to those who knew how to code. Today, natural language has broken down that barrier. But beware: a poorly used prompt is the new Excel cell. A talk about AI, dev culture, and collective intelligence.

A concrete vision of sovereign AI: a governable, secure, and transparent artificial intelligence capable of protecting strategic data and know-how. A reflection on the value of auditable and AI Act–compliant models, combining innovation, control, and competitiveness in key sectors for companies and institutions.

Industrial monitoring is entering a new dimension: from emergency management to the science of prediction, and towards the intelligent orchestration of every operational mission. We will explore how the synergy between autonomous drones, Artificial Intelligence, and an advanced operational platform is redefining efficiency, infrastructure safety, and territory protection. At the core is a platform that enables centralized orchestration of drones, pilots, and operations: from route planning to full mission management, with real-time video streaming enhanced by object detection and fire detection, full traceability of every intervention, and an operational history supporting strategic decision-making. Not just monitoring, but the ability to act immediately on critical events as they occur. Around it lies the intelligence that powers it: neural networks transforming video streams into actionable data, fusion of IoT sensors and aerial inspections to anticipate failures, AI applied to large-scale environmental monitoring, and autonomous fleets integrated into enterprise workflows via edge computing. Because today’s true competitive advantage is not just flying: it is knowing exactly what to do, when to do it, and with which information. The sky is no longer a limit, but a new strategic ecosystem for an intelligent, safe, and natively sustainable industry.

The objective of the session is to define a strategic roadmap that combines technological innovation with the sustainability of the healthcare system, demonstrating that the future is not a distant promise, but an already operational clinical reality. It is up to us to govern it effectively and sustainably.

AI is everywhere — but where is it taking us? Scott Likens, PwC's Global Chief AI Engineer, explores the age of AI convergence, introduces Horizon X as a framework for sensing what's next, and challenges leaders to see beyond the visible spectrum of emerging technology.

Building agentic AI organizations requires rethinking structure, roles, and skills. Learn how to manage organizational transformation, upskill your workforce, and create sustainable competitive advantage.

Delegating to AI means trusting it enough to hand over part of our work. But trust does not come from a brilliant answer: it comes from reliable sources, clear boundaries, expert guidance, and carefully protected data. Discover the path to building, together, a truly trustworthy agent.

AssoSoftware represents companies that develop software in Italy. The software sector is steadily growing, but it remains undersized compared to its European counterparts. It plays a central role in the economy, and the expansion of digitalization is a key driver of the country’s development. Targeted public policies are needed to support both the sector and demand.

What if every platform behaved like one? Discover how myMeta’s AI-powered orchestration layer connects fragmented enterprise systems into a single, adaptive experience in real time. Join our CEO for a live demo where intelligence operates above and within systems, shaping decisions, actions, and user experiences as they happen.

Because Enterprise AI needs a Risk Ledger and Error Cost is the new TCO. Leave with the metric your board will ask for next quarter.

Every property has a value. Few can prove it in real time. Today, real estate due diligence can cost up to €500,000, takes 3–6 months, and produces snapshots of the past. Traent has built the Trust Infrastructure for Real Estate: AI agents that collect, analyze, and certify every piece of data about a property on the blockchain, making real estate transparent, instantly valueable, and ready for digital markets. In this talk, we show how the Legal Twin and Full-Stack Tokenization are transforming concrete into certified value — with real-world case studies and data.

AI can support the emergency healthcare system in the field and improve response times and the quality of decision-making. From real-time data analysis to operational support, it helps coordinate resources and responses, with the goal of making emergency care faster and more effective.

Agentic AI is at the center of attention, but turning excitement into real value requires a concrete, compliance-driven approach. This session explores how to design and implement agentic AI solutions while meeting the requirements of the AI Act and GDPR, balancing innovation, risk, and governance. A practical roadmap to move from hype to impact without compromising compliance and trust.

BizzyNow enables professionals to turn any context into valuable opportunities through an innovative phygital experience based on swiping, geolocation, and intelligent matching that fosters spontaneous, on-the-fly networking moments.

Agentic AI is redefining how companies design processes, services, and decision-making by introducing systems capable of understanding context, acting autonomously, and collaborating with people and applications. This talk will provide an overview of AWS solutions for designing and governing agentic AI architectures, exploring tools such as Amazon Bedrock, AgentCore, and Strands, along with patterns and best practices for production adoption. It will cover topics such as scalability, security, integration, and real-world use cases, to understand how to turn innovation into a real competitive advantage.

It is not a problem of speed. It is a problem of structure, objectivity, and memory. The success story of AcomeA SGR.

An overview on an ever-growing industry of startups, investors, innovation hubs and the Italian perspective.

At Al WEEK 2026, Evan will bring a crucial perspective on how Al is reshaping enterprise document technology, the future of knowledge work and human productivity, helping leaders understand the frameworks needed to unlock hidden information layers in in the age of intelligent technologies.

Discover how EY is supporting various clients in the design and implementation of humanoid robots developed to perform complex tasks in work environments characterized by high variability and strict safety requirements. By leveraging market solutions and AI orchestration capabilities, EY has helped its clients accelerate workflow automation and reduce manual interventions. Explore the underlying technological components and gain a deeper understanding of the challenges and benefits of integrating humanoid robots into an industrial context.

Stories about the paper, facts that you might not know and how it's strangely affected my life. "Attention Is All You Need" is a 2017 research paper in machine learning authored by eight scientists and engineers working at Google. The paper introduced a new deep learning architecture known as the transformer, based on the attention mechanism proposed in 2014 by Bahdanau et al.

Most AI projects show the surface. Digital Pills shows what’s underneath: the data, the MCP architecture, and the work that never appears in a demo. Real case: HelloFresh, 30 markets, €100M+ spent on Meta. –24% CAC, configuration errors reduced from 20% to under 1%, and campaign launch times cut from 3 hours to 5 minutes.

A quasi due anni dall’entrata in vigore, dove siamo nell’implementazione dell’AI Act? Una panoramica della roadmap aggiornata alla luce del recente accordo provvisorio sul Digital Omnibus , tra obblighi già vigenti e prossimi passi regolatori.

The adoption of AI in organizations is accelerating, but often in a fragmented way: isolated projects, unmanaged risks, and value that is difficult to measure. The AI Control Tower transforms AI from ad hoc experimentation into a systemic lever, structured around four pillars: Security, Compliance, Value, and Strategic Alignment. An operational workshop for those who want not just to “do AI,” but to govern it.

How to move from a rough idea to an operating AI system - based on what we've actually built and shipped. A production-grade perspective on building AI that enterprises can actually scale.

“AI doesn’t create value.” “The return on AI initiatives is too low and too slow.” “Italian SMEs are falling behind in AI adoption rankings”… But are these expectations realistic? Have we learned from previous technological revolutions? Is the rapid pace of AI evolution accelerating or slowing large-scale adoption? Our experience from thousands of projects delivered since AI returned to center stage tells us that companies that have truly put AI into practice are already generating tangible value today—but only when supported by a strong practice of AI, built on elements that go beyond technology and are fully integrated into business strategy. We call it Reinvention.

The session outlines the strategic transition from passive AI tools to proactive agentic ecosystems. A core tenet of this evolution is that AI represents expansion; while AI provides the tool, the human remains the essential source of intent. This shift redefines the human role within the enterprise, moving from a syntax-focused "Author" to a "System Editor" centered on architectural integrity and security.

Customers expect interactions that are relevant, timely, and empathetic across every channel and touchpoint. This session explores how Genesys Personalize uses real-time data and AI to dynamically adapt customer interactions. By combining event-driven data, intent understanding, and predictive engagement, organizations can route customers intelligently, anticipate needs, and recommend the next best action in the moment. The focus is on how personalization powered by AI builds trust, improves engagement, and creates experiences that feel both human and context-aware at scale.

How to deploy AI and computer vision models in production to connect claims over time and generate verifiable evidence. With Visada, images once treated as attachments become structured, searchable data powering scalable fraud detection systems.

GFT’s presentation showcases how enterprise AI moves from productivity gains to full-scale transformation. Through real client examples, it demonstrates measurable ROI across SDLC, business processes, and large modernization programs, supported by GFT’s Agentic AI Platform and governance model.

In this live episode of Intelligenza Artificiale Spiegata Semplice, Pasquale Viscanti interviews Gian Segato, Data Science Manager for Research at Anthropic one of the leading AI research companies shaping the future of safe and aligned artificial intelligence. Together, they explore the evolution of generative AI, the role of developers in this new paradigm, and how tools like Claude are redefining the way we build, interact with, and scale intelligent systems. A deep dive into the future of AI between innovation, responsibility, and real-world applications.

Prada Group operates beyond the boundaries of the luxury sector, with initiatives spanning art, sports competitions, and even space exploration, profoundly influencing contemporary society. Chief Information Officer Cristiano Agostini speaks with Gianluigi Alberici, Partner at Arsenalia, to explore Prada Group’s technology evolution strategy, focusing on the Group’s digital transformation journey, its approach to technological development within the company, and the role of emerging talent in addressing the challenges posed by artificial intelligence.

In his talk, Luca Magrì will provide an overview of the AI initiatives developed internally at Bayer, explaining how artificial intelligence is transforming the entire pharmaceutical value chain—from scientific research to drug commercialization—driving efficiency, innovation, and tangible impact.

While you’re reading these lines, your customers are delegating their purchasing decisions to AI systems like ChatGPT, Gemini, and Claude. And the AI is recommending your competitors. Everything you’ve built on Google and social media risks becoming invisible. Ignoring optimization for the new AI-driven search engines means condemning your brand to total irrelevance—wasting all the investments you’ve made so far. Ale Agostini (CEO of AvantGrade.com and author of Being the Answer) strips away any illusion and delivers the hard truth about GEO AI Search—the new paradigm of search in the age of artificial intelligence. This is a practical session that overturns the status quo and shows you how to make AI cite your company as an authoritative source. By the end, you’ll feel one urgent need: to understand how much your business is losing—and take action fast. What you’ll take away: The invisibility diagnosis: why new AI search engines ignore your brand—and how to reverse the damage to your revenue. The power shift: a strategic roadmap to leverage everything you’ve already built on Google and start appearing in the answers AI shows your potential customers. The verdict (immediate action): a method to ensure maximum accuracy and presence of your brand identity in AI, through real-time testing of your “Brand AI integrity.”

Altro che scatola nera: il sistema di raccomandazione che propone i video si può orientare e personalizzare. Il panel racconta come "allenarlo", partendo dagli strumenti già disponibili su TikTok: dai like al reset completo, dai filtri per parole chiave al feed non personalizzato. Il panel si soffermerà poi sui contesti più sensibili, come i contenuti generati con intelligenza artificiale e i processi elettorali, evidenziando come le piattaforme stiano evolvendo per rispondere a nuove esigenze di trasparenza e responsabilità, anche attraverso il dialogo con attori istituzionali e lo sviluppo di linee guida condivise.

How many things are you doing today that you shouldn’t be doing? And how many are you merely optimizing instead of eliminating? Raffaele Gaito takes the stage with 5 practical examples of how to use AI not to add, but to subtract: fewer tasks, less noise, less wasted energy. More results, more clarity, more time for what truly matters.

Turn your data into a competitive advantage. With Optimus, you optimize agents within your own context, making even lightweight on-prem models highly effective. Explainable performance, predictable costs, and end-to-end control.

Ciber Fabbrica is a professional-grade platform for document and software generation that leverages the proprietary advanced mathematics to make high-level system integration financially accessible to anyone, eradicating the hidden costs of technological debt for SMBs.

A practical and highly visual talk on how images and videos are evolving with the new generation of AI models. The point is no longer just writing better prompts, but learning how to direct AI: choosing references, camera angles, rhythm, movement, consistency, and taste to transform an output into true creative direction.

Generative AI has entered the daily lives of individuals and companies. But something is still missing: direction, intention, and point of view. Virtual Land has developed a proprietary system that turns AI conversation into a strategic lever for HR, Marketing, and Entertainment, providing companies with concrete insights into audience engagement and behavior. The talk will present real-world case studies, including “The Guilty Pleasure”, a conversational experience on cybersecurity awareness compliant with the NIS2 regulation. The underlying thesis is that whoever controls the narrative controls the relationship. And from relationships comes a powerful business opportunity, based on listening, understanding, analysis, and the formulation of ready-to-choose proposals.

Discover how ALCHEMIX streamlines formulation: hands‑on workflows, features in preview and a live demo. The platform embeds data quality checks, predictive modeling, and optimization into a single AI‑driven environment - enabling minutes‑to‑recipe speed for industrial R&D teams.

“Prompt First Aid”: AI is moving fast, but who is actually authorized to guide it? The gap is systemic. A framework is needed to validate qualified educators and define responsibilities. The focus is on hybrid skills and the implications for ECM providers, public institutions, scientific societies, and companies.

EPAM partnered up with Zalando to co-engineer the next generation of retail, evolving the platform into an AI-powered lifestyle destination. Join us for an inspirational session featuring technologies as we showcase how generative AI is scaling to create a deeply personalised and immersive fashion future.

Claims management involves high volumes, operational complexity, and strong pressure on time, cost, and service quality. Today, AI and Generative AI are transforming this field by enabling new interaction models across the entire claims lifecycle. Advanced virtual assistants make it possible to automate key processes, improving the customer experience by removing time constraints and reducing waiting times. The talk will present the benefits of adoption from both the customer’s perspective and the insurance company’s point of view.

Where AI meets the physical world of business processes: decisions that become actions and generate tangible value.

60% of operational time is lost on processes that AI could handle on its own. Work remains slow, and this is not an IT problem, but a business one. In 20 minutes, through live demos and real-world cases, we show how SMEs and enterprise organizations have solved these challenges with Deepser, the Italian AI-powered Service Management platform.

Transforming and streamlining production processes through a centralized data platform: Kirey and Avio present the program, developed with the support of technology partners AWS and Cloudera, to leverage the potential of data collected in the digitized Engineering and Manufacturing processes. From the creation of a cloud-based data platform to the enablement of AI/ML use cases and the development of Agentic AI, this presentation will share goals, vision, and key choices within a highly complex industrial context.

Today's AI agents run on duct tape: separate systems for transactions, analytics, and vectors, stitched together with brittle ETL pipelines and growing engineering overhead. That approach won't survive the next wave of agentic AI, where enterprises need to support millions of concurrent agents, each with persistent memory, real-time data access, and consistent state. This session introduces the architecture that supports millions of agents: a converged distributed SQL platform that unifies OLTP, real-time analytics, and native vector search in a single ACID-compliant system, handling relational, vector, and full-text demands in one query layer. We'll walk through the Decide-Validate-Remember loop that production teams use to reduce token costs through persistent context and scale multi-agent workflows without state drift.

Artificial intelligence is profoundly transforming medicine: diagnosis, organization, decision-making processes, and clinical governance will increasingly be supported — and in some cases replaced — by intelligent systems. The real challenge is not resisting change, but governing it. The doctor of the future will need to evolve alongside technology, integrating clinical expertise, interpretative skills, leadership, and responsibility. Because in the age of AI, the decisive value will not lie solely in the algorithm, but in the human ability to understand, make choices, and build trust.

Increso presents how Agentic AI is transforming the hospitality industry. Through its proprietary platform INXIDE, the integration of AI and the human touch reduces waiting times and personalizes the guest experience, ensuring operational efficiency and scalability.

We will present to those who are developing or want to develop customized AI solutions in secure environments such as private or hybrid clouds the “Multi Cloud Connect” service, which allows companies to connect directly (in technical terms, “LAN-to-LAN”) from their headquarters to their private cloud hosted with us (we operate in the most advanced data center in Europe, formerly Supernap, now Vaultica), and from there directly to AI service providers such as Google Cloud, Amazon Web Services, Azure, Oracle, IBM Cloud, and others. How is this possible? Because our data center hosts many of these cloud providers or is directly connected to them via hundreds of fiber pairs. Such a service ensures absolute security and privacy guarantees, as well as near-zero latency. In addition, we will present the AI assistants of our cloud-based switchboard, as well as AI supporting our cybersecurity services, developed internally with the best security providers on the market. See you at the fair!

The panel explores the impact of Artificial Intelligence on sports content, focusing on innovation and transformation. It will examine new formats, engagement opportunities, and time-saving solutions, alongside the risks related to authenticity, rights management, and editorial control.

Algorithms measure performance without emotional context. Yet, since the Paris 2024 Olympics, a trend has emerged among athletes—from professionals to amateurs—that prioritizes joy and satisfaction alongside goals. In fact, the goal itself becomes joy and psychophysical well-being. “How I did it” is the app designed to measure this joy.

Ducati Corse and Lenovo partner to push the limits of performance in the highly competitive world of MotoGP, leveraging advanced data analytics and cutting-edge technology. Lenovo enables high-speed analysis, simulations, and AI-driven insights to transform data into a competitive edge on track.

Welcome to the "post-agency era," where Monks leverages AI to orchestrate creativity, technology, and data for real-time marketing relevance. The strategy emphasizes the "agentification" of agency tasks, aiming to automate up to 65% of workflows to achieve significant production savings. Central to this transformation is Monks.Flow, an intelligent system that integrates AI agents to plan, create, and scale studio-quality content at an unprecedented pace. Through custom AI pipelines and a proven five-milestone adoption process, brands can transition from manual workloads to an automated, data-driven ecosystem. Monks will show how AI-driven orchestration delivers personalized, fit-for-channel content that enhances both brand distinction and operational efficiency.

Selling in the Age of AI is the talk where I share the sales methodologies that have proven most effective in managing over 500 salespeople across dozens of different industries. I will cover processes, control, and performance, and how to use artificial intelligence to analyze deals, train teams, and maximize commercial results in a measurable and scalable way.

Use of satellite data to support artificial intelligence models for analysis and understanding of: urban resilience, through digital twins integrated with IoT systems; the agricultural sector, aimed at assessing crop sustainability and optimizing yields.

Artificial intelligence is no longer just an operational support, but an infrastructure that structures, guides, and often anticipates decisions within organizations. This talk explores how AI is redefining roles, responsibilities, and decision-making processes at the managerial level. At the core is not only performance, but also risk governance, the quality of decisions, and their traceability. This leads to new needs: adaptive control models, integration between compliance and business, and a real capacity for human oversight. For decision-makers, the challenge is not simply to use AI, but to govern it without delegating decision-making power to it.

Plenitude and Reply are redesigning software delivery: from experimentation to production, a new operating model that industrializes AI in software development.

During the presentation, the latest innovations in SAP Business AI will be showcased, along with how the integration of artificial intelligence within the S/4 system can make business processes more automated, faster, and smarter.

The Omnyscient platform (based on AWS) provides a deep search capability built on a highly innovative approach that automatically aggregates information from external sources, scientific publications, LinkedIn, industry news, CVs, and more, and combines it with CRM data to generate structured, up-to-date customer profiles.

NSC Global, a world leader in onsite IT services, and NDI, present Atlas: the AI transformation reshaping how 1,500+ engineers deliver field services across 180+ countries. Gary Shannon (COO, NSC Global) and Michael Burian (CEO, NDI) share real production data, lessons learned, and the operational model behind deploying AI Employees at enterprise scale.

In an era of pervasive AI, governance doesn’t slow down innovation—it makes it possible. We will explore how trust, clear frameworks, and organizational culture are the key to scaling AI responsibly and turning it into tangible value.

A city produces millions of signals every day: traffic, mobility, environment, consumption, events, and people flows. For years, we have collected this data without truly managing to turn it into decision-making capability. Today, Artificial Intelligence is changing the paradigm: no longer passive dashboards, but territorial systems capable of interpreting context, anticipating phenomena, and suggesting operational actions. In this workshop, we will explore how the integration of AI, IoT, and Smart Land platforms is redefining territorial governance. From urban mobility management to hydrogeological risk prevention, from predictive analysis of tourist flows to environmental monitoring, we will see how data coming from sensors, mobile networks, infrastructure, and public sources can converge into an intelligent and interoperable ecosystem. Through real-world cases and live demos, we will show how the territorial Digital Twin evolves from a simple representation of the city into a true cognitive decision-support system. Because the future of Smart Lands is not about having more data. It is about having territories capable of understanding it.

Il Go-to Market di prodotti e servizi è cambiato per sempre. Cosa c'è da sapere in questa rivoluzione di mercato e quali sono i trend per crescere nel 2026.

In the Artificial Intelligence market, everyone talks about tools, prompts, and automation. But for Italian SMEs, the real challenge is something else: understanding where to start, how to truly apply AI to business processes, and above all, how to turn it into concrete results. In this pitch, you will discover the Zero to AI model: a journey that combines training, strategic assessment, and operational AI solutions to support companies in the real adoption of Artificial Intelligence. We will explore how to transform a simple training activity into a structured, recurring business capable of generating continuous value through business assessments, specialized training, implementation of AI tools, automation, software, and advanced services dedicated to SMEs. We will discuss how the journey is built: from mapping key business areas and internal processes to developing customized roadmaps that help entrepreneurs and teams use AI concretely in marketing, sales, administration, customer care, operations, and internal organization. We will also dive into the commercial and territorial growth model of Zero to AI, designed for professionals, agencies, consultants, system integrators, and entrepreneurs who want to enter one of the fastest-growing markets of the coming years with a ready-made structure, supported by content, methodology, the AI Play platform, and events. A session dedicated to those who want to move from simple “curiosity about AI” to building an ecosystem of services and recurring revenues, becoming a reference point for innovation in Italian SMEs.

Italian companies are deploying AI agents without knowing where they are going, what they are saying, or what is leaving their perimeter. This is not a technological problem, but a legal and strategic exposure that is already in effect: Mind Breach, AI Act, GDPR, ISO 42001. It will not disappear with the next model. In this speech, the CEO and CTO of Pupau.ai explain what it means to govern an agentic company today: the difference between deploying agents in production and keeping them under control, and why companies that have already made this leap are turning governance into a hard-to-copy competitive advantage. The thesis: the 2027 agentic enterprise will not be defined by how many agents it has in production, but by its ability to govern them. Those who build today the cognitive infrastructure with data sovereignty, native auditability, and controlled deployment (on-premise or private cloud) are not just reducing risk. They are building the key differentiator of the next industrial cycle. With real production use cases: public institutions, industry, large-scale retail (GDO), and professional services.

Doctors work under constant pressure: limited time, fragmented patient information, and growing documentation requirements. This often reduces time for what matters most - the patient conversation and clinical decision. Alteus Medical is an AI-powered clinical copilot, part of the alteus.ai platform, designed to support doctors before, during, and after consultations. It helps clinicians quickly understand patient context, ask better follow-up questions, and prepare structured draft documentation for review and approval. In this session, we show how Alteus Medical supports three key outcomes: faster access to relevant patient history and medical context. Better consultation flow through contextual AI assistance. Clearer, more consistent doctor-approved documentation with less administrative effort. The presentation also highlights why governance is essential for healthcare AI adoption: privacy, role-based access, auditability, and human clinical oversight are built into the workflow. The goal is practical impact at scale - helping clinical teams work more efficiently while keeping medical judgment fully in the hands of doctors. togli gli spazi tra paragrafi

Nicola Sciumè, CEO of the e-Goals Group, will illustrate how Artificial Intelligence is evolving into a new cognitive infrastructure for businesses, capable of redefining the way organizations interpret complexity, design processes, and make strategic decisions. Through the presentation of proprietary platforms developed for intelligent resource planning (Turn-IT), CRM system migration via AI agents (CRM Agent Port), and educational and career guidance (Deedalo), e-Goals will demonstrate how AI-native architectures can enable increasingly adaptive, scalable, and value-driven operating models. The integration of predictive models, conversational AI, and agent-based systems paves the way for organizations to use artificial intelligence not merely as a business support tool, but as an integral part of their operating model.

This is a technically-informed talk focused on measuring the built-in offensive security capabilities of frontier LLMs. Rather than relying on vendor claims or synthetic evaluations, we designed a rigorous, reproducible benchmark: 10 models tested against real Hack The Box challenges spanning the OWASP Top 10, with 10 independent runs per challenge and identical conditions across the board. The talk covers the methodology behind this design, walks through the results — including where models succeed and where they fail.

Talk to your data the way you talk to your assistant: ask questions and receive statistical answers and intelligent insights. This is Data2Pocket—unlimited power for expert users, and ready-to-use simplicity for those who don’t yet know what to ask. It enables centrally defined questions to be delivered directly to users via push notifications on WhatsApp or a mobile app.

Building AI agents that work reliably at scale is one of the hardest challenges in applied AI. In this talk, Michele explores how Replit approaches evaluation and continuous improvement of Replit Agent: the AI-powered coding assistant used by millions of builders worldwide. From designing meaningful evals to closing the feedback loop between real-world usage and model improvements, Michele shares the frameworks, lessons learned, and open questions from operating an AI agent at production scale.

Come usare ChatGPT, Claude, NotebookLM e gli agenti in modo efficace senza trattarli come se fossero magia.

Recent advances in AI have been driven by large-scale generative models with impressive capabilities in language, code, and digital tasks. Yet these systems still have a limited understanding of the physical world, human intentions, and real-world context. In this talk, Pascale Fung will discuss the next frontier of AI: world models. World models allow AI systems to learn abstract representations of the world from continuous multimodal data, enabling reasoning, planning, memory, and action beyond next-token prediction. Moving toward real-world AI agents requires modeling not only the physical world, but also the mental world - including intent, attention, goals, and social context. The future of AI will depend on systems that can understand, adapt, and collaborate in the real world, safely and reliably.

Every aircraft comes with thousands of pages of technical documentation that must be continuously created and updated with accuracy and speed. Today, this process is still largely manual, complex, and prone to errors. The program developed by Leonardo introduces a system of specialized AI agents supporting technical authors, working together like a digital assembly line: they analyze engineering changes, identify impacts, and generate content compliant with aeronautical standards, ensuring consistency and safety through a proprietary infrastructure that leverages open models to create a sovereign technological solution for the business. The result is not only greater speed: the technical writer becomes the supervisor of an intelligent process, with full traceability, fewer errors, and higher quality delivered in less time, creating a new way of working.

A conversation on how innovation truly happens in an Italian manufacturing SMB. Federico Colonna (Innovation Manager at IVAS), Julian Beccari (Business Development at Arsenalia), and Riccardo Zamana (Head of Digital Manufacturing at Arsenalia) discuss why, in a context of tight margins, expensive energy, and global competition, speed is now the only real competitive advantage, and how IVAS chose to act rather than plan, starting from where innovation immediately impacts the profit and loss statement.

In 1977, we sent 55 human languages into space. In 2017, a paper by eight researchers made today’s generation of Large Language Models possible. Today, Natural Language Autoencoders can read the internal representations of models. In that space—between saying and thinking—the next phase toward AGI is unfolding.

How can GenAI refine traditional tasks like forecasting? While humans define strategy, AI scales execution. This session explores how the BELT framework by SDG Group uses foundation models and AI agents to boost accuracy and cut time-to-value, shifting the focus from "doing" to "deciding what to do".

AI projects do not fail due to a lack of technology, but because of a lack of culture, skills, and engagement. In this session, Roberta Russo shows how to drive AI adoption by putting people at the center and building conscious digital leadership. With concrete examples and immediately applicable strategies.

News organisations around the world are rapidly integrating generative AI into their workflows, moving from experimentation to practical implementation. This session explores how leading publishers are using AI across the newsroom—from newsgathering and research to content creation, packaging, and distribution. Drawing on real-world case studies, it will highlight the tools, processes, and organisational approaches that are delivering value today. The talk will also examine the challenges of scaling AI responsibly, balancing efficiency with editorial integrity, and identifying where human expertise remains essential.

Shadow AI is already present in organizations, often outside IT control but embedded in everyday workflows. Trying to block it is unrealistic the real challenge is to govern it. This session explores how to make the invisible visible, define effective policies, and turn risk into opportunity, while complying with regulations such as the AI Act and GDPR. A pragmatic approach to control the uncontrollable and create value through rules.

Opportunities and challenges in the development of voice agents; on-premise voicebots in compliance with privacy and data governance; and VoiShield to detect deepfakes and notify participants in real time, preventing vishing and fraud.

AI is accelerating software development, but traditional processes remain the real bottleneck. In an AI-native SDLC, value shifts from writing code to orchestrating context, validation, governance, and architecture, turning AI into a scalable engineering force.

A single, integrated solution that covers the entire business value chain, from customer relationships to strategy. It manages automated multichannel interaction and support; transforms documents and procedures into a queryable, generative knowledge base; collects and organizes real-time operational data in the cloud for end-to-end process management; and converts this data into KPIs and strategic insights to support decision-making and compliance. Together, it digitizes, automates, and drives the enterprise.

The debate around artificial intelligence in schools often swings between two extremes: strict bans or open access without guidance. Meanwhile, students are already using it daily, outside any educational framework. In this context, the experience of Digital 4 Children comes into play, bringing digital education programs directly into schools. The focus thus shifts from control to education, from access to AI to how younger generations learn to use it.

In a world where AI is accessible to everyone, the real advantage no longer lies in the models, but in the systems that turn unique data into insight. DeepTree builds this infrastructure for private markets, transforming fragmented data into clear, fast, and actionable analysis.

The session will focus on the results of the research conducted within the European Digital Tech Watch (EDTW) initiative, a think tank of the School of Management at the Polytechnic University of Milan dedicated to analyzing the European digital landscape. Through a cross-disciplinary approach, EDTW aims to understand Europe’s positioning in the global landscape in terms of innovation, competitiveness, and digital sovereignty. Starting from evidence gathered through research involving more than 1,500 companies across 15 European countries, the session will analyze the state of digital technology adoption within large European organizations, highlighting the continent’s level of readiness in relation to the objectives set by the European Union in the race to develop a European AI ecosystem—considered a key element for maintaining and strengthening competitiveness in a rapidly evolving global context.

Every day, thousands of conversations between salespeople and customers generate valuable data that no CRM captures: real objections, buying signals, recurring mistakes. Globally, conversation intelligence is a billion-dollar market. In Italy, it’s still at zero. Andrea di Foggia, founder of askmentor, uses real data to show how the systematic analysis of sales conversations makes it possible to identify correlations invisible to the human eye (such as a success rate increasing, for example, from 1% up to as much as 92% when a specific company protocol is followed), generate corrective actions for each salesperson, and fuel marketing with the real language of customers. Through a practical demonstration, the talk explores why companies that start digitizing their conversations today will build a competitive advantage that is impossible to replicate.

Human Reloaded – Rediscovering Ourselves in the Age of AI is a journey through the transformations that Artificial Intelligence is bringing to our society, workplaces, and human relationships. Through concrete examples, real-world use cases, and ethical reflections, the talk explores the opportunities and risks of a technology that is not only changing the tools we use, but also the way we perceive ourselves. An invitation to understand AI not simply as a technical innovation, but as a cultural phenomenon capable of redefining what it means to be human in the digital era.

Ministro per la pubblica amministrazione della Repubblica italiana

Scova AI helps professionals and companies avoid missing the news that truly matters. By leveraging the simplicity of natural language, it analyzes over 150,000 sources to create feeds, newsletters, and informative articles tailored to your business interests and goals.

Shiny new toy or fear of falling behind? Companies are approaching AI in two opposite ways — for the same reason. Discover the 3 mistakes to avoid and what you need to build first to make AI actually work.

How to transform recruiting from a manual process into an intelligent system. We will explore how Vale uses AI and LLMs to analyze candidates, automate interviews, and improve the quality of hiring decisions, bringing Artificial Intelligence into operational processes.

AI Valley evokes demanding references and was not chosen by chance, even if it requires a bit of imagination to fully grasp. Times are moving fast, and often there is no time to reflect — we are constantly forced to chase what comes next. But today, let’s try to pause for a moment within this context so rich in stimuli. Can Italy truly build a solid AI ecosystem? And if so, how, with whom, and by learning from what? To explore these questions, we have invited three very different individuals to discuss them — people who don’t usually share the same stage, but who, in my view, should be talking to each other much more.

This session will introduce RAISE (Resource for AI Science in Europe), the European initiative aiming to accelerate the use of artificial intelligence in scientific research and discovery across Europe. The discussion will explore how public, private and philanthropic actors can work together to strengthen Europe’s AI in Science ecosystem, support researchers and innovators, and advance AI-enabled scientific breakthroughs.

Mastering AI is the biggest quantum leap since the atomic bomb. Does it belong to US and Chinese giants? Is Europe doomed to follow and submit? There is an alternative. Sovereign, collaborative, efficient, and ethical.

With this talk, we’ll explore the complete process of how we transformed Learnn from a traditional digital business into an AI-native company, increasing internal productivity and transforming the product through AI. Today, Learnn has reached 280,000 users and 1,000 corporate clients on its platform.

When factories first gained access to electricity, for decades they simply replaced the steam engine with a dynamo—same factory, same layouts, same belts. Productivity didn’t move. The real leap came only when a new generation of entrepreneurs had the courage to tear down the factory and rebuild it from scratch around the electric motor. Today, with artificial intelligence, we are in the dynamo phase. Companies buy copilots and layer them onto unchanged processes: AI summarizes, generates drafts, answers questions. Useful—but it’s not transformation, it’s cosmetic automation. The real discontinuity has a name: moving from co-pilot to co-thinker. Not a faster assistant, but a system that enters the decision-making process, understands context, reasons about implications, and raises risks no one in the room is considering. This will be illustrated through a case every company knows: a strategic procurement. A multi-million contract, eleven months of negotiation, thirty people at the table—and a liability clause hidden on page 47 that none of the thirty noticed. The co-thinker did. We will see how, concretely: specialized agents, structured organizational memory, and a workflow where AI doesn’t assist the team but thinks alongside the team. Those leaving this talk will have a framework to understand whether their company is using AI like a dynamo—and what it takes to rebuild the factory.

This talk introduces the Oxford Institute of Technology and Justice, co-founded by Philippa Webb and Amal Clooney, and its mission to harness AI to close the global justice gap. It covers the AI-powered tools the Institute is building — a WhatsApp chatbot helping women and children in Malawi access legal support, a journalist safety tool with the Committee to Protect Journalists, an automated protection order tool for lawyers, and a Fair Trial Adviser for judges navigating AI-related challenges. The talk emphasises co-design with affected communities and the urgent need for responsible governance as AI enters courtrooms worldwide.

Physical AI marks the shift from digital intelligence to real-world action, opening a new era of intelligent automation. NTT DATA and Sky illustrate how this vision is becoming reality in data centers: autonomous robots that move, monitor, and intervene in critical environments, enhancing efficiency, safety, and operational continuity. A concrete look at what is already possible today and how emerging technologies will drive data centers toward an increasingly autonomous future.

Official AI WEEK 2026 Press Conference: an exclusive moment dedicated to media, partners, and stakeholders to present the latest news, key figures, and vision behind Europe’s largest AI event. An opportunity to get a preview of the content, speakers, and impact of the 2026 edition.

Ravenna FC presents one of the first AI-driven football club models through the Black Duck System: AI-powered scouting, match analysis, financial planning and club management transforming football from intuition-based decisions to a fully data-driven ecosystem.

Sport is no longer just physical activity or entertainment: today it represents a strategic tool for economic growth (contributing to a territory’s GDP), social development, and increasingly a driver of public health, prevention, and the medium- to long-term sustainability of healthcare systems. This talk will explore how Artificial Intelligence can transform regional sports policies through the intelligent use of data, health prevention, the analysis of sedentary behaviors, and the personalization of public interventions. From “smart” sports vouchers to predictive models for identifying social and health vulnerabilities, and the integration of sports, health, and territorial data, AI can become a concrete lever to improve quality of life, social inclusion, and the reduction of future healthcare costs. An innovative approach that places citizens, territories, and public administrations at the center, opening a new season for regional policies at the intersection of sport, technology, and collective well-being.

What truly makes us human in the age of algorithms? Padre Natale Brescianini offers an unexpected dialogue between contemplative tradition and the language of technology. Artificial Intelligence connects symbols and produces results; Spiritual Intelligence connects meanings and preserves purpose. Through the lenses of Krónos, Kairós, and Aión, this session reflects on the kind of relationship with time we want to cultivate—and how to remain techno-human without losing the desire, limitations, and freedom that define us.

Generative AI is presented as an ally of the transition: it optimizes consumption, predicts waste, and accelerates ESG reporting. But every query to a language model consumes energy. Global data centers could double their electricity consumption by 2030, with an estimated carbon footprint of between 32 and 80 million tons of CO₂ in 2025 alone. Around 60% of the new electricity demand from data centers will be covered by fossil fuels. No one has ever measured this paradox at the level of individual Italian companies. This white paper does so for the first time: through an analysis of companies and sectors, it assesses the net carbon impact of AI adoption—comparing the emissions generated by the use of AI tools (infrastructure, computing, cloud) with the emissions saved thanks to the efficiency gains enabled by AI itself (logistics, energy, processes). The result is a “carbon balance sheet of AI” by company type, size, and sector, accompanied by future scenarios.

Are you using AI to save time or to build the future? AI is not just for automating processes: it’s a growth multiplier. While many use it to handle repetitive tasks, the winners engineer it to create Growth Loops. It’s time to stop executing and start orchestrating.

L’intelligenza artificiale è una trasformazione del linguaggio con cui comunichiamo, prendiamo decisioni e creiamo valore. Per collaborare davvero con l’AI è necessario andare oltre la competenza tecnica e sviluppare una nuova forma di interazione reciproca tra esseri umani e macchine. Attraverso l’MLC AI Fluency Framework, esploreremo come l’AI Fluency possa diventare la base di una cultura aziendale capace di fondere intuizione umana e intelligenza artificiale: Awareness: trovare la chiave per comprendere l’evoluzione dell’AI. Approach: imparare a guidare l’AI, non solo a utilizzarla. Application: apprendere sperimentando, “learn by doing”. Advocacy: diventare AI champions, ambasciatori di una nuova cultura collaborativa. Un viaggio per scoprire come l’AI possa diventare un vero alleato dell’intelligenza umana e come l’AI Fluency rappresenti il nuovo linguaggio dell’innovazione, della collaborazione e del futuro del lavoro

AI is evolving faster than companies’ ability to adopt it. This talk explores the relationship between AI and humanity, the main friction points in adoption, and the gap between announcements and real integration, showing how infrastructure and architectures are now the true key to scaling AI.

The value of AI applications in the industry comes from large scale people adoption: ALCHEMIX is now ready to accelerate AI‑driven formulation across sectors. Discover how ALCHEMIX turns experiments into data‑driven R&D digitization.

ElevenLabs is the leading AI audio research and deployment company. ElevenAgents is the company's platform for building, launching, and scaling voice agents that accomplish tasks through natural dialogue — from quick requests to complex multi-step workflows. Jozef, is the VP and creator of ElevenAgents, who will show how ElevenLabs approach the voice agent stack — from speech recognition and turn-taking to deployment and evaluation — and the design principles that guide what we build next. Including Expressive Mode and a walkthrough of the agentic cockpit for all channels — telephony, web, and mobile in a single control plane.

A session focused exclusively on real-world cases: AI agents actively used by companies for customer care, lead qualification, bookings, and internal staff support across WhatsApp and other conversational channels. We will showcase real operational processes, adopted strategies, and tangible results achieved in the field.

Generative AI is reshaping journalism at every level—from how news is produced to how it is discovered and consumed. This talk explores the dual impact of AI on newsroom processes and the wider media ecosystem, including the rise of answer engines, shifting audience behaviours, and intensifying competition from creators and platforms. It will examine how these changes are disrupting traditional models of distribution and access, and what this means for influence, trust, and visibility in the digital age.

Turning AI into strategic capital requires full control over data, models, and infrastructure: Engineering presents EngGPT 2, an Italian LLM trained from scratch that ensures efficiency, transparency, compliance with the AI Act, and performance aligned with the best technologies on the market. A best-in-class approach also applied at Infratel Italia, built on sovereignty, security, and specialization.

A workshop exploring how modern AI tools can be used to create stunning commercial videos. Learn practical techniques for generating cinematic visuals, dynamic storytelling, and high-quality content for advertising, branding, and social media campaigns.

Manual files, offline reconciliations, and non-integrated systems generate a significant hidden cost: time, inefficiencies, and the risk of errors in core processes. In this talk, we will present a real-world case in which an AI-supported middleware architecture made it possible to eliminate manual activities, standardize information flows, and create a single control point for enterprise data. The focus is not on AI as a technology, but on its tangible impact: reduced operational time, greater data reliability, and stronger governance. This session is designed for CIOs and CFOs who want to turn IT complexity into a competitive advantage without introducing further fragmentation.

With the hype around AI agents being replaced by a new reality, organizations now want real value from their artificial counterparts. Most agents today act as assistants that boost personal productivity, but businesses are quickly realizing that true impact comes from embedding trusted data and machine learning intelligence into these agents, enabling them to take action, guide decisions, and collaborate purposefully with human users. In this session, Véronique Van Vlasselaer introduces Strategic AI Agents: enterprise‑grade agents designed to amplify not only operational speed but also strategic foresight. Through real‑world use cases, she will demonstrate how leading organizations are already turning these agents into tangible business impact. Véronique will explain what strategic agents are, why they matter, and how they must be governed to ensure responsible, trustworthy deployment at scale.

Artificial intelligence is no longer a standalone project with a beginning, an end, and a dedicated budget. It is the way organizations work. This shift in mindset is the prerequisite for turning technology into real and sustainable value.

AI is moving beyond static models and one-off evaluations into systems that continuously adapt, learn, and operate autonomously, often inside real environments, not just test datasets. Most teams still rely on benchmark-driven evaluation, which is useful, but increasingly misleading. It tells you how a model performs at a single point in time, not how it behaves once it’s deployed and interacting in real environments. And that’s the problem: the environment itself changes, adapts, and evolves, so AI must operate in a world that never stands still.

AI enables a new approach to Risk Management across industries. It is not only a powerful tool for the accurate identification and quantification of risk factors, but also allows for granular, real-time monitoring. In a context where resilience is a regulatory priority, risk evolves from a control function into a strategic and competitive lever.

AI does not simply add new tools: it redistributes intelligence. When this capability becomes accessible, widespread, and operational within workflows, the focus is no longer the technology itself, but the organization’s ability to govern it. This is what we define as augmented intelligence: a condition in which people, processes, and decisions extend their potential through distributed capabilities integrated into everyday work. Electrolux Group presents a concrete case in which governance, internal training, and guided adoption become strategic levers to transform experimentation and curiosity into a real, coherent, and sustainable organizational capability. This is not a theoretical discussion about AI, but a practical perspective on how to make it operational, governed, and relevant in daily activities. Because the challenge is not bringing AI into the company, but enabling the organization to evolve with it.

From automating conversational flows to real-time interaction analysis, Base Digitale brings AI into Customer Experience in a concrete and measurable way. With a constraint that is also our advantage: the entire process is managed internally. No external dependencies, no compromises.

Delivering great customer experiences is not a one-time effort, but a continuous optimization process. This session focuses on how Genesys Optimize enables organizations to monitor performance, anticipate demand, and continuously refine customer journeys using AI-driven insights. By combining journey visibility, conversational analytics, predictive forecasting, and intelligent routing, businesses can identify friction points and improve experiences in a data-driven way. The session highlights how a single, integrated platform allows teams to move from reactive analysis to proactive optimization, ensuring customer journeys evolve as expectations and conditions change.

Your business outgrew its tools. Now what?

AI is maneuvering satellites, monitoring the planet from orbit, and making autonomous decisions in deep space. The Liability Convention is 50 years old, the EU AI Act stops at the atmosphere, and the proposed EU Space Act does not mention AI. No regulation has been designed to govern intelligent machines beyond Earth. Who will fill the gap?

The talk will explore the role of AI and the value of synergy between businesses, research, and local territories in the development of the cities of the future. It will delve into how to build truly human-centered Smart Cities and analyze new urban ecosystem models focused on achieving a balance between innovation and sustainability. During the session, the value of innovation ecosystems will also be highlighted as a key driver to accelerate the adoption of sustainable AI solutions in urban contexts.

In this talk, Daniele Pucci will explore the future of Physical AI and how artificial intelligence is moving beyond screens and software to interact with the physical world through robotics, movement, and human augmentation. Starting from the vision behind Generative Bionics , Daniele will explain what the company does, the challenges it is addressing, and why the convergence between AI, robotics, and biomechanics is opening up entirely new possibilities for industries and people. During the session, he will also dive deeper into the meaning of “Physical AI”, how it differs from traditional AI applications, and what makes Generative Bionics unique compared to other players in the market. A conversation designed to offer a practical and inspiring look at one of the most exciting frontiers of artificial intelligence.

Tomato Blue tackles the challenge of AI agents through a two-voice debate: Massimo Simbula (regulation) and Davide Carboni (engineering) address three key questions on classification, DPIA, and Shadow AI. An operational roadmap for enterprise agents that are compliant by design: ISO 27001, ISO 42001, the AI Act, and GDPR.

Processes become agile, intelligent, and scalable, increasing efficiency and value for both people and the company thanks to AI and the Procurement Agentic Platform suite.

Every retailer knows the pain of margins eroded by promotions and of customer loyalty that never quite takes off. Starting from a real case of a fashion e-commerce, we will show how AI-driven customer segmentation based on clustering is already capable today of mapping precise behavioral patterns, from high-spending customers to “opportunity seekers.” But the real revolution begins when AI stops observing and starts deciding. We will explore the evolution toward Agentic AI, capable of making the entire marketing and CRM cycle autonomous: agents that update clusters in real time, generate hyper-personalized communications, and orchestrate recovery campaigns to intercept at-risk customers before it is too late. We will conclude with a necessary reflection on governance and the AI Act: your CRM knows who your customers are, but does your AI already know what to do—and when to do it autonomously? A talk designed for C-level executives who want to see how AI can move from data to action, in compliance with the AI Act and algorithmic accountability.

A talk focused on the role of Artificial Intelligence in industrial processes and the opportunities it creates for European companies. From the perspective of Porsche Consulting, the session explores how to turn AI models into concrete applications that drive operational value, innovation, and competitive advantage across Europe’s industrial sector.

What if training were no longer designed, but generated? In a context where skills become obsolete increasingly quickly, traditional training models are no longer sufficient. NeuroForge introduces a new paradigm: a system in which artificial intelligence does not merely support learning, but builds it, adapts it, and evolves it in real time. Starting from existing knowledge, a network of AI agents transforms static materials into dynamic learning experiences, generating multimodal content and structured learning paths in moments. But the real shift happens during learning itself: users interact with an intelligent system that understands context, responds in a targeted way, and guides the exploration of information. Training thus becomes a living experience. Thanks to an adaptive gamification engine, every piece of content becomes an interactive environment that evolves based on the learner’s actions, mistakes, and progress. The AI observes, learns, and continuously modifies the path, making it increasingly personalized, effective, and relevant. It is no longer the user who adapts to the course. It is the course that adapts to the user. NeuroForge redefines the very concept of learning: from a static process to an intelligent, continuous, and generative system.

What if it were possible to interact with a digital patient and anticipate insights before they emerge in reality? Digital Patients transform Generative AI into a tool for simulating clinical scenarios, understanding needs and behaviors, and supporting decision-making in the Life Sciences sector. A new way to innovate medical education, healthcare strategy, and high-value insight generation.

Most organizations are not failing at AI — they're failing to change how work actually happens. Adding AI to existing structures creates friction, not transformation. The real shift is a new operating model where humans and machines share work, build trust, and scale together. Those who rewire will lead. Those who retrofit will stall.

For twenty years, software has focused on optimizing User Experience for clicking users, but this model is now changing as people increasingly delegate tasks to AI assistants like ChatGPT, Claude, and Gemini and expect outcomes rather than interfaces. This shift introduces a new paradigm called Agent Experience, where software must be designed to be consumed by agents through reliable APIs and mechanisms for delegation and coordination between autonomous systems. In this context, users express intent while agents execute tasks by orchestrating tools and services, often on top of existing SaaS platforms. The evolution moves from agent-ready systems to agent-to-agent models where agents interact autonomously, passing through increasingly advanced copilot and autopilot stages. The real competitive advantage comes from the combination of human expertise, proprietary data, and business logic, while the main challenge is no longer exposing APIs but building complete, reliable agent experiences that deliver outcomes, ultimately enabling new business models and expanding markets through AI, as in the case of Coelevate.

Colle.S is an animated series set in a small town that is experiencing repopulation, where new residents, encounters, and everyday events bring to life a contemporary, critical, and humorous portrayal of Italian society and beyond. Creativity remains human: the idea, style, characters, and story are all created by the artist. AI is used in the technical side of animation, reducing production time, costs, and complexity. It is a tool that supports creative vision, not a substitute for the artist.

Starting from business objectives to redesign processes and service models: AI drives an end-to-end transformation journey, breaks down silos, and enables an integrated way of working through a goal-based approach focused on value and scalability.

In modern organizations, over 80% of information resides in unstructured content: documents, reports, procedures, proposals, knowledge bases, and historical archives. This represents a valuable asset that is often difficult to access, fragmented, and hard to leverage. This talk explores how to design an Enterprise Agentic AI platform focused on corporate knowledge management to enable autonomous process orchestration, advanced document retrieval, and automated document generation. The presented solution implements an adversarial Actor/Critic agentic model supported by a Reinforcement Learning system integrating RAG and GraphRAG engines, specialized agents for automated document generation, and advanced search capabilities across enterprise document repositories, with deployment options also in on-premise or isolated environments. Special focus will be given to typical enterprise concerns often overlooked in AI projects, such as evolutionary maintenance, non-regression testing, performance benchmarking, observability, scalability, and operational continuity. A real-world case demonstrates how agentic AI can evolve beyond a technological demo into an industrial-grade platform supporting business, operations, and decision-making.

Ricca IT’s Arianna is the Corporate AI that eliminates data leaks, ensures GDPR and AI Act compliance, and transforms AI into autonomous agents to automate end-to-end business processes.

From the digital agent for registry and tax services to AI-based monitoring of building permits, from automatic anonymization in images related to penalties to NLP support for the 020202 contact center, up to the Extended Digital Twin for urban governance: the Municipality of Milan already has AI embedded in its processes. As the first Italian public administration with an AI Manifesto, Milan is the smartest city in Italy. Luca Curioni speaks with Antonio Zimmitti of Arsenalia about how an administration with 526 services and 3 million users per day is innovating in a concrete, ethical, and scalable way.

KEY ORCHESTRA integrates your AI agents into business processes, connecting them to enterprise ERPs. A single command point ensures secure governance and scalable growth. Tailor-made solutions designed to turn AI into an active, seamless, and traceable collaborator across every department.

For millennia humans have wondered what animals might be saying to each other, but (and not for lack of trying), we have never been able to decode their language. Modern machine learning systems have shown great promise and have already solved many problems previously thought to be impossible. This talk explores our efforts to use self-supervised machine learning to understand and interpret dolphin communication. First, we present a system that can "rediscover" the meaning of human language without a teacher, through watching unlabeled video. Second, we examine the challenge of applying these techniques to wild dolphin footage and share some preliminary techniques and observations.

AI on managers’ desks: what they really want to get from algorithms, between appropriateness, waiting lists, workflow efficiency, KPI optimization, and health demand analysis. Some suggestions to avoid selling just gadgets.

Help male and female football players communicate on social media in a responsible, authentic, and professional way. Show how artificial intelligence can support image management, prevent reputational mistakes, and enhance relationships with fans, clubs, and sponsors.

Earth Observation data already supports decisions across many industries – often without anyone realizing it. Yet despite its enormous value, this data remains difficult to access, fragmented across platforms, and hard to translate into clear, decision-ready insights. In this presentation, it will be shown how the ESA Φ-lab, and in particular the InCubed programme, supported two companies, GeoVille and Cortecs, to develop terrAIntel, an AI-powered Earth Intelligence platform designed to bridge this gap. The talk explores how AI can move users from programming languages and complex provider-specific workflows toward natural-language interaction, map-based evidence, statistics, and interpretation. Rather than being another general-purpose LLM, terrAIntel is positioned as a domain-specialized AI layer that helps turn fragmented Earth Observation data into understandable and actionable Earth intelligence.

The AI market is growing rapidly, but adoption in business processes remains complex. Heterogeneous data and unstructured documents limit the effectiveness of GenAI and agents: value is created when technology adapts to the company’s operational context, not the other way around.

Like a well-crafted playlist, the automation of the future starts, flows, and keeps things moving. But if no one takes care of it, it loops endlessly and loses its meaning. The marketer’s role? To stay firmly at the console, set the tempo, guide the tools, and read the audience in order to change the rhythm when needed.

Artificial intelligence is reshaping the way brands are perceived, positioned, and communicated—often without companies even being aware of it. Together with EY Studio+, we will address key topics for brand growth in the age of artificial intelligence: authenticity as the only defense against algorithmic commoditization; human advantage as a source of competitive edge—where the more machines advance, the more the human element matters; monitoring and influencing positioning, and how to govern one’s narrative; and AI product design, focusing on how to build AI products that convey brand authenticity.

Today’s software is like old phones: rigid, fragmented, and limited. The smartphone changed everything for people. Now the same thing is happening in companies: the operating system of processes is emerging. And after that, there’s no going back.

Generative AI has disrupted cybersecurity. Between autonomous agents and Shadow AI, the old “No” approach no longer holds up. The answer? Data Security Everywhere: pervasive protection and adaptive control that turn security into an enabler of innovation.

Everyone is racing to make AI faster, cheaper, and bigger. But when the model speaks, does anyone actually understand? In this session, Oddmund and Sven will unpack three gaps hiding in plain sight across the AI landscape and explain why the industry is obsessed with the first one while barely talking about the other two. They'll introduce the Comprehension Layer: the unsolved space between what AI produces and what humans actually need to understand, across languages, cultures, and high-stakes live environments. Drawing on Interprefy's experience powering real-time multilingual communication at scale — long before AI made it fashionable — this talk will challenge how the room thinks about what winning in AI actually looks like. Expect a frank conversation about infrastructure over hype, clarity over noise, and why the companies still standing in three years won't be the ones who shouted loudest. They'll be the ones who were most understood.

Artificial Intelligence promises a great deal, but where is real value actually created? In this talk, we will explore how to build AI ecosystems capable of addressing real needs, transforming enterprise data into operational tools. A practical approach that combines efficiency, security, and control, bringing AI out of theory and into everyday processes.

Solaria Data Intelligence eliminates waiting. Access your data using natural language and get answers in 30 seconds, not days. No code. No complexity. Solaria orchestrates multiple systems, applies intelligence, and delivers actions.

Agentic AI enhances HR processes across the employee lifecycle, enabling seamless, personalized, and continuous experiences, while improving engagement, retention, and the quality of decision-making. This approach integrates people and tools and helps transform the organization into a great place to work.

In an increasingly dynamic market, case resolution speed is the main competitive differentiator. Through a real-world use case, we will explore how AI Voice Agents and Generative AI evolve from conversational interfaces into process orchestrators: from voice authentication to escalation to a human operator, enhanced in real time by Now Assist. Every conversation becomes a concrete action from the very first contact.

Governing Artificial Intelligence means supporting its adoption with clear principles that guide its use in a responsible, transparent, and sustainable way. In the context of professional services, this translates into defining a shared framework that places several key elements at its core: human oversight, skills development, transparency in decision-making processes, data protection, and risk management. The goal is not to limit innovation, but to make it reliable and consistent with corporate values, fostering a conscious and long-lasting adoption of Artificial Intelligence.

The future of BI is agentic. In this session, Databreeze will demonstrate how AI Agents, BI as Code and the OpenBI MCP Server are reshaping the way BI is built — and why, without proper governance, they risk amplifying the chaos rather than eliminating it

In an era dominated by the race for automation, the real risk is not technological but human: building perfect systems within an imperfect ecosystem. This talk proposes a paradigm shift—automation not as a replacement for human work, but as applied wisdom capable of elevating it. Through the real-world experience of the agents powering the SophIA and ThalIA platforms, the session explores three key pillars: • Automation as an ethical choice: designing fair and transparent processes, eliminating hidden biases in data and models. • Wisdom in automation: integrating a systemic vision that places the well-being of people and the organization at the center. • From productivity to human fulfillment: using AI to free up time and value, giving back to people what makes them unique—intuition, empathy, and judgment. The journey culminates in an evolved vision of the enterprise, where HR and Finance converge into a single connected intelligence, and where efficiency is no longer just a KPI, but the result of a harmonious balance between technology and humanity.

We’re entering a new era of work, where AI isn’t a solo productivity hack, but something that lives inside a team’s shared space. Notion’s Yann Petretti will explore the productivity shift as organizations move from AI as an assistant to AI as a shared system: surfacing context, automating repetitive work, and helping teams make better decisions together. He’ll share a practical transformation path for leaders: how to adopt AI responsibly with guardrails, why proprietary context and connected tools matter, and what this shift means for European teams right now.

Every entrepreneur knows what they should be doing with their time: making strategic decisions, spending time with customers, and growing their people. Yet the day gets taken up by something else: checking numbers, reminding the team about deadlines, and searching for information scattered across spreadsheets, Excel files, emails, and messages. MAITIME was created to give that time back. The name itself reflects its mission: an artificial intelligence that takes on the operational routine of SMEs, freeing entrepreneurs and teams to focus on work that requires both mind and heart. Enrico Giardini (CTO and Co-Founder) will explain why he built MAITIME based on his own entrepreneurial experience and will demonstrate live, through a platform demo, how AI can remove work instead of adding more of it.

In the field of infectious diseases, AI supports rapid diagnosis, targeted use of antibiotics, and epidemiological monitoring by integrating real-time clinical data. The challenge is to create validated, interoperable solutions that are seamlessly integrated into hospital workflows.

The large-scale adoption of generative models requires new forms of governance and control. We will explore how organizations can continuously evaluate the quality of responses, the consistency of behaviors, and the robustness of LLM outputs over time, through practical approaches and real-world examples. We will also discuss several emerging methods for measuring and managing model reliability, highlighting their strategic implications for business.

Cristiano AI is a digital avatar that allows football players to interact and receive guidance on digital communication. It is a powerful virtual tool designed to help shape content, tone of voice, and online image management.

Data, models, agents, and robots converge within a single architecture. The talk explores a unified platform that combines data ingestion, semantic retrieval, LLM reasoning, and agent orchestration to execute enterprise workflows in a scalable, observable, and governable way.

Document Intelligence transforms heterogeneous content into structured, actionable data: an AI suite that understands, organizes, and integrates information into business workflows, enabling greater efficiency, reliable data, and faster decision-making—from compliance to finance.

A conversation on how Artificial Intelligence is transforming motorsport—from on-track performance to data, and the future of racing.

Discover over 10 AI use cases that can be activated in just a few minutes. From customer support to operations, from content to analytics, we will show how to quickly turn ideas into impact with practical, immediately usable examples.

Many companies are adopting AI, but to ensure real business impact and long-term sustainability, it is essential to define clear objectives and a coherent roadmap. The Bonatti case shows that the first step is seeing clearly: analysis and awareness help avoid speed without direction and align value, priorities, and transformation.

What would happen if every employee always had access to an expert—trained on your documentation, your processes, and your regulations—ready to respond in real time, without ever forgetting anything? In this session, Marco Cavallini (CEO of YouCo) presents YouWorker.ai: YouCo’s AI system that learns an organization’s knowledge and operates autonomously within a closed, secure, and GDPR-compliant environment, integrating into daily operations without disrupting existing processes. To ground the proposal, two real-world case studies: Stefano Crotti (IT & AI Program Manager, COREPLA) explains how Italy’s National Consortium for the Collection and Recycling of Plastic Packaging transformed a complex and fragmented document heritage into an immediate operational tool—reducing information retrieval times and increasing operational speed. Ester Anzalone (Director of Digital Transformation, Metropolitan City of Milan) illustrates how an organization serving 133 municipalities and 3.2 million citizens deployed an AI agent to support citizens 24/7, reduce response times, and free operators from repetitive requests—while ensuring full compliance with AgID guidelines and ACN regulations. A session focused on concrete AI already in action: not a promise, but a replicable model.

Video has been a one-way, human-authored medium since its invention. That's about to change. In this talk, I walk through how HeyGen is rebuilding video as a programmable communication primitive — one that AI agents can generate, personalize, and deliver at scale among humans and agents.

Can we trust AI for critical decisions? What’s the recipe for reliability? Move beyond "talk-to-data"with INSIGHTGEN. Using multi-agent orchestration to navigate semantic layers, it eliminates hallucinations and manual analysis, empowering leaders with autonomous reasoning and trusted insights.

A live challenge where creativity and artificial intelligence come together. Participants compete by generating images in real time from a prompt, with only a few seconds to turn an idea into something surprising. It’s not about who writes better, but who has the strongest vision: a mix of performance, design, and entertainment that turns prompting into a true art form.

How is the web experience truly changing in the age of AI agents? In this talk, Fincantieri and Spindox will share the story behind CaptAIn, a project that transforms the corporate website into a dynamic, conversational ecosystem. A journey through vision, courage, and technical challenges—where there are no best practices to follow, only new paths to explore.

Beyond traditional models: Smile.CX introduces a fluid ecosystem of connected intelligences. A technological and methodological framework where Supervised AI transforms the contact center into an AI Operation Center, unifying people, AI, processes, and metrics within a single evolving platform.

AI is redefining operational ecosystems across logistics and terminal industries. This session explores how Augmented Operations Systems combine data, AI and human expertise to enable smarter decisions, predictive operations and progressively autonomous workflows.

Europe is accelerating its push for digital sovereignty through the IPCEI-CIS initiative (“8ra”), which aims to build a federated, interoperable cloud-edge infrastructure to reduce dependence on non-EU hyperscalers. With over €3.5 billion in investments and more than 150 stakeholders involved, the goal is to strengthen technological autonomy, data control, and resilience, in line with the European regulatory framework. However, the main challenge remains turning this infrastructure into real-world usage. In this context, Villanova acts as an enabling layer: through generative AI, multimodal models, and a low-code/no-code framework, it allows companies and public administrations to develop concrete applications on the European cloud-edge. By validating real-world use cases, Villanova helps bridge the gap between research and adoption, making digital sovereignty operational and scalable.

AI e biotech stanno trasformando il settore farmaceutico, ma tra strategia e applicazione rimangono ancora dei gap. I dati di Act4AI offrono una fotografia di tecnologie, competenze, customer experience e processi per comprendere come accelerare l’integrazione dell’AI nelle aziende pharma e creare valore per i pazienti.

Most AI projects fail not because of technology, but because companies are not structured to use it. Discover how to turn AI into a real operating system that drives measurable ROI.

The project, funded through POC/PNC resources, implements the “Health and Environmental Control Center” digital platform, designed to integrate and process environmental and healthcare data using Artificial Intelligence tools, enabling advanced analytical models for territorial monitoring.

A conversation on how AI is reshaping football, from tactics to talent, and the future of the game.

The European tech job market is undergoing a structural transformation: companies need highly specialized skills faster than traditional hiring and outsourcing allow, while more and more professionals are opting for freelance work. In this talk, we'll explain why "liquid teams"—combining internal talent, verified freelance specialists, and AI agents—are becoming the new operating model for innovation. We'll share the solution Shakers has implemented to drive this change: an AI-powered matching and delivery process that reduces the time to find the first ideal candidate to between 24 and 48 hours and compresses the onboarding process from weeks to days, improving both speed and quality. We'll also analyze the real-world business impact and a case study (Inditex) that shows how AI can transform the entire workflow, from project definition to team building, collaboration, and regulatory compliance.

Most AI builders stop at the demo. See how Softr's AI Co-Builder generates a business app from a prompt, with the database and business logic already connected, secure, and ready for real users. Then see how switching between AI and visual editing gives you full control — no developers needed.

How Fundo.one simplifies access to subsidized finance for SMEs with its agentic AI. Discover how to automate the search for funding calls, improve matching with the most relevant opportunities, and efficiently manage applications and reporting for your SME and your network.

How many companies have launched an AI project, achieved outstanding technical results… only to see it never make it into production? That’s the topic Paolo Vaona from Horsa and Francesco Aruta from Daikin Applied Europe will discuss. Daikin Applied Europe manages product quality on a global scale: factories across five continents, data flowing 24/7, and field claims arriving in different languages and formats. A highly challenging environment where, even with strong foundations, the leap from having data to actually making it usable is never guaranteed — and where the journey toward integrating AI into operational processes has brought more than a few surprises. Critical moments, difficult decisions, and everything no benchmark will ever tell you.

Putting a conversational Agent into production feels like the obvious next step once you've seen what AI can do. But between the idea and the outcome, there are five things almost no one warns you about, and they make all the difference between a project that works and one that disappoints. In this session, Chiara Arlati and Alessandro La Ciura share what LiveHelp has learned across hundreds of real-world implementations: from data and governance to voice, guardrails, and agentic complexity. Closing with a question that concerns all of us.

Every organisation in this room is already running AI pilots. Most of them will fail to scale not because the technology doesn't work, but because the organisation wasn't built for it. "Headless" means business processes that run without a human in the loop agents that draft, decide, and act autonomously on your behalf. The organisations winning right now aren't the ones with the best AI models. They're the ones that built a platform so every new use case costs less, ships faster, and carries less risk than the last. Ash Osborne draws on real deployments across regulated industries to show what separates organisations operating at scale from those still stuck in pilot mode and the three questions every leadership team needs to answer before their next AI investment.

The study analyzes a global e-commerce system using AutoCM and Meta-AutoCM models to go beyond traditional sales statistics. AutoCM identifies direct associations between variables (markets, products, platforms), while Meta-AutoCM reveals functional similarities and systemic impact. Results show that geography is the main driver, with markets influencing the system far more than product categories. It highlights “sentinel” markets that detect early changes and “bridge” countries that signal their spread toward Europe and the US. The combined approach provides a strategic map for geographic segmentation, early-warning monitoring, and optimization of pricing and sales strategies.

Artificial intelligence is entering a new phase: no longer limited to content generation or informational support, but gaining the ability to truly understand complex IT environments, analyze real-time operational data, and enable faster, safer, and more informed actions. In this session, Matteo Brusco, Distribution Sales Manager Southern Europe at N-able, will present N-able’s vision for AI applied to IT management, cybersecurity, and operational automation, with a focus on N-zo, the AI assistant integrated into the N-able ecosystem. N-zo is designed to support technicians, MSPs, IT teams, and security teams in the daily management of increasingly distributed infrastructures: from device status summarization to troubleshooting, from vulnerability analysis to intelligent documentation search, and toward future scenarios of agentic automation. The goal is simple yet strategic: reduce time spent on repetitive tasks, improve decision quality, and strengthen business operational resilience. Through concrete use cases, customer feedback, and an evolving roadmap focused on AI assistants, expert agents, predictive automation, and cross-platform workflows, the session will show how N-able is transforming AI into a true ally for efficiency, security, and business continuity. The presentation highlights measurable benefits, including an average time saving of around 70% and operational speed improvements of 2–5x in common documentation and troubleshooting tasks.

When agents proliferate beyond governance.

More and more people are discovering and choosing brands through ChatGPT, Google Gemini, Perplexity AI, or Google AI Overviews—tools that generate narratives that are often difficult to control. That’s why it is essential to understand how AI portrays your brand, and this is where GEO (Generative Engine Optimization) comes into play: a set of strategies designed to monitor and shape your brand’s presence across generative search engines.

Today, talent is no longer enough. If you don’t know how to communicate, you are invisible. “Like Bomber” explores how football has changed in the social media era, where every athlete also plays a match off the pitch: the one of digital reputation. Communication, image, fans, and new opportunities for those who can turn likes into value.

In today’s marketing automation, “management” is outdated: we are in the era of execution. Thanks to AI agents, you no longer have to play solo—you can lead your band and speed up the rhythm! Discover how to create, experiment, and get your hands dirty in the best way with the support of Magnews.

Special guest: Aino Bergius, CEO Office & Special Projects at Lovable. An open networking session dedicated to women in the field of artificial intelligence and those who support their growth. An informal space to connect, share experiences, inspire one another, and explore collaboration opportunities. A chance to highlight talent, promote inclusion, and build meaningful relationships within the AI ecosystem.

A keynote on why the next era of AI will not be defined only by better tools, but by more people choosing to act like founders. For decades, software creation was constrained by access: access to technical skills, teams, capital, and institutional permission. Lovable is changing that. More people can now move from idea to working product faster than ever before. As building becomes easier, founder-like behaviours become more important: ownership, speed, judgement, resilience, and the ability to learn in public. Aino will argue that the underlying shift is behavioural. The people who stand out in the AI era are those who see a gap, take ownership, learn quickly, build something real, and find the community or market that needs it. Being a founder is becoming a way of operating that can apply far beyond the traditional startup path. Drawing on her experience building Europe’s startup community at Slush, and now leading special projects, community and growth initiatives at Lovable, Aino will explore what happens when software creation opens up to the 99% in the broadest behavioural sense. More people can now participate in building products, companies, communities and new economic value. But building is only the beginning. The founders who win are the ones who turn access into action, action into momentum, and momentum into impact. The central question is shifting from whether people can build, to what they choose to take responsibility for next.

grenke enables the AI ecosystem, accelerating adoption through smart leasing models that bring AI to market without financial sustainability constraints.

We are coming out of years of AI POCs and pilots applied to the business world. The phase of experimentation and lab work is drawing to a close, yet the widespread, accelerated, and committed adoption of AI within core enterprise processes still appears slow. In this transition, deeper, less visible but far more decisive questions are emerging—questions that are no longer about what AI can do. Which models? Which features? Which roadmaps? The more mature conversation today is about the foundations on which to build an AI strategy, and how to govern it over time.

The EU AI Act requires conformity assessment for AI systems, but necessary scientific foundations and tools are still emerging. Drawing on 20 years of AI security research at sAIfer Lab, InfoAIcert project aims to bridge this gap, turning frontier research into tools for AI compliance.

During the session, Estilos will present its Next Best Action solution, an AI system designed to support B2B customer engagement processes by helping sales teams manage visit priorities, improve the quality of interactions, and enhance commercial performance through “augmented intelligence.”

Enhancing Corporate Cognitive Capital with AI — Methods and Outcomes.

We will no longer build software, but ecosystems capable of adapting, suggesting, and making decisions. This is where AI stops being a technology and becomes a strategic lever for enterprises.

An open networking session dedicated to the new wave of AI-driven development, where creativity meets autonomous systems. An informal space to connect with developers, builders, and innovators exploring vibe coding and agentic AI. A chance to exchange ideas, share experiments, and discover new approaches to building with intelligent, autonomous agents.

Alessandro Bergamini is a business consultant specialized in management control for SMEs. Today, Alessandro will speak about how Artificial Intelligence can revolutionize management control in small and medium-sized enterprises. Specializing in profitability, cash flow, and planning, he works daily alongside entrepreneurs to build monitoring systems that guide companies through data, using a simple yet practical approach. He is the founder of OSM Finance and Finexa, a software solution that leverages AI to automate and digitalize business control processes. He will share practical examples, strategies, and tools to understand how to truly use AI to make faster, more informed, and more effective business decisions.

How can AI support medically assisted reproduction by improving predictive capabilities and supporting clinical decision-making? Through data analysis, it helps make treatment pathways more targeted, with the aim of increasing success rates and the effectiveness of treatments.

Job Hour by Università Bocconi Andrea Tangherloni, Dipartimento di Computing Sciences, Università Bocconi

Strategic autonomy is becoming a key challenge for businesses. But digital sovereignty requires more than just technology: it includes proprietary AI, trustworthy data, and clear, binding rules. As a Japanese-German company, we know how to combine innovative AI solutions with clear rules, data integrity, and accountability.

Carlo, Country Manager di SaveFamily Italia, descrive l’esposizione digitale precoce come un’emergenza silenziosa: il 77% degli adolescenti italiani si sente dipendente dallo smartphone, con effetti negativi documentati sullo sviluppo emotivo, sull’autostima e sull’accesso a contenuti inappropriati. La soluzione proposta non è vietare la tecnologia, ma accompagnarla: lo smartwatch GPS SaveFamily offre ai bambini connessione e sicurezza senza i rischi dello smartphone, posticipandone l’adozione in media di due anni. Il discorso si conclude con la visione di un’AI al servizio dell’infanzia e di una collaborazione estesa con istituzioni e scuole per costruire una vera cultura della salute digitale.

February 2026: $300 billion wiped out in a single day. The market bet that AI would kill SaaS. Nicola Laganà explains why that was wrong, what separates the companies that survive from those that lead change, and how Factorial is responding to the challenge.

Job Hour by DGS

The future of automation lies in the ability of machines not just to execute tasks, but to understand context and act autonomously. In this talk, Massimo Ruffolo presents the Altilia Agentic AI Platform, a solution that transforms business processes into intelligent, scalable workflows.