Like for any new technology, there are different ways to build AI agents. Whether we choose to rely on big LLMs, commercial black-box AI tools or smaller, open-source models --  every small choice we make along the way can have huge repercussions. In my talk, I will address how to find the right balance through informed choices, resulting in cutting-edge AI technology that is reliable, cost-efficient, and sustainable.

Historically, theatre has always been a space for experimentation—pushing the limits of narrative, presence, and reality. Today, with the rise of Artificial Intelligence, it can reclaim that role once again. Between generative texts, glitched identities, and digital rebellions, theatre transforms into a space where the author is an algorithm, the actor is a fragment of code, and the audience participates in unpredictable endings. This is a performative reflection on authorship, identity, and the future of storytelling in the age of creative machines. Ultimately, it points to a new frontier for entertainment, unlocking immersive, interactive experiences that redefine how stories are told, shared, and lived.

AI is a general-purpose technology, and gaining real competitive advantage means moving beyond isolated experiments to structural reinvention. This keynote explores how leading organizations redesign workflows, operating models, and value creation around AI. You’ll learn practical principles to move from vision to execution, accelerate transformation in 90 days, and build the governance and systems needed to scale AI safely and sustainably.

Introducing AI is not enough — organizations must rethink models, workflows, skills, and leadership. What they need is an AI readiness strategy. The session covers the five key levers of AI readiness (processes, data, mindset, governance, upskilling), concrete case studies drawn from real-world experience, and practical tools such as AI activity mapping, maturity assessments, and controlled experimentation. It also highlights the crucial role of managers as facilitators of change, offering a clear and actionable framework to help organizations transition effectively toward an AI-powered future.

The talk explores AI safety challenges—hallucination and prompt injection—through multi-agent architectures and open-source standards. It presents the Open-Floor Protocol (Linux Foundation AI & Data) and new frameworks for hallucination and injection mitigation, using iterative review, fact-checking, and security KPIs to enhance reliability, transparency, and trust in generative AI systems.

Imagine a car driving through the city and, thanks to artificial intelligence, detecting in a single pass all kinds of road and sidewalk anomalies — the things we normally miss: faded markings, missing signs, drains, potholes, cracks, overgrown vegetation. It works on any type of road at speeds up to 130 km/h and uses up to three cameras. One single pass generates a priority map with 20 cm accuracy and authenticated data, turning observation into rapid, concrete action.

The roundtable will allow us to explore how to build trust in intelligent and autonomous systems. In a landscape driven by innovation and increasing automation, with the rise of Agentic AI, trust becomes the central resource: how can we ensure transparency, reliability, and control when algorithms no longer merely suggest but begin to act? What new risks emerge, and what responsibilities must institutions, developers, and users take on?

Artificial intelligence is profoundly transforming every economic sector, and healthcare is no exception. Its adoption is rapidly accelerating, with applications ranging from biomedical research to the optimization of administrative and management processes, all the way to supporting clinical activities. Scientific evidence helps us address key questions: where do we stand today? What lies ahead? Will AI expand access to care, or will it become yet another factor of inequality in an Italian healthcare system that already shows significant disparities in the actual fulfillment of the right to health?

Artificial intelligence through voice is transforming Service Management. Responsa’s Voice Agent listens, understands, and acts: it streamlines processes, enhances corporate knowledge, and creates an ecosystem of intelligent collaboration between people and tools.

The panel explores how new entrepreneurial initiatives are created, tested and scaled. Through real-world cases and direct experiences, it will examine how agentic AI is transforming insight generation, concept validation, team building and the day-to-day operations of early-stage startups. A practical discussion on the opportunities, limitations and organizational impacts of this new era of venture creation.

At the heart of today’s democratic debate, artificial intelligence is becoming a pivotal force in persuasion, consensus-building, and the shaping of the public sphere. This panel explores how the algorithmic world is redefining not only political dynamics but also the formation of new generations—particularly university students, who are increasingly exposed, involved, and required to interpret an information ecosystem that has been profoundly transformed. The talk will examine the impact of intelligent systems in shaping opinions, identities, and participatory behaviors, with a focus on those entering the professional world today and those who will do so in the coming years. Through case studies, recent research, and interdisciplinary insights, the discussion will investigate risks, opportunities, and emerging responsibilities. In an era of automated communication, profiling, and sentiment analysis, a central question arises: are we, as individuals and as a society, ready to understand and govern the power of the systems that shape what we see, think, and share? A panel that brings together technology, politics, critical education, and democratic responsibility, offering tools to interpret—rather than merely endure—the new horizon of the AI Generation.

 In an era where artificial intelligence is reshaping industries at exponential speed, leadership must evolve just as rapidly. This keynote explores how CEOs and executive leaders can navigate the AI age—not through more data or automation alone, but by embracing what Dr. Tina Ruseva calls Soft Work: the human-centric leadership competencies that remain irreplaceable in a machine-driven world. From ethical decision-making and emotional intelligence to creativity, purpose, and trust-building, Soft Work is the new strategic advantage. Drawing on real-life insights from leading an AI startup and years of future-of-work research, this talk challenges traditional leadership models and offers a bold framework for adaptive, humane, and effective leadership in a time of intelligent disruption. Audiences will leave with: A clear understanding of how AI is transforming the CEO role A practical toolkit for cultivating future-ready leadership A redefinition of intelligence in business—one that puts humans back at the center This keynote is a call to action: in the age of artificial intelligence, it’s time to lead with deeper human intelligence.

A conversation to understand how to balance human intuition and algorithmic power in a new era of investing. The panel will explore how AI can become a true strategic partner for investors, enabling faster and more accurate data-driven decisions.

We are entering an era in which AI and people collaborate naturally, creating intelligent CX ecosystems that transform the customer experience. By combining Agentic AI with a structured information asset, it becomes possible to orchestrate more effective, seamless, and personalized interactions. Through real demonstrations, we will show how knowledge, context, and purpose can become decisive levers for creating surprising experiences that are truly value-driven.

We are at a turning point in AI content generation. With the UNet era now behind us, the architectural debate between single-stream and dual-stream DiT models is reshaping the field. On one side, Qwen’s dual-stream MMDiT architecture—implemented in WAN Video—processes text, video, and spatial controls through separate streams that interact via joint attention, enabling granular control over camera, motion, and frame-by-frame editing. On the other side, Z-Image’s single-stream S3-DiT shows that the “scale-at-all-costs” paradigm can be challenged: just 6B parameters compared to the proprietary giants’ 20–80B, yet delivering competitive performance and sub-second inference on consumer GPUs. In this panel, we will explore key questions. Why does dual-stream MMDiT unlock motion-transfer and spatial-control capabilities that were previously unreachable? How does the single-stream S3-DiT achieve such high efficiency while maintaining SOTA quality? Big Tech vs. Open Source: who is actually winning when democratization through LoRA and quantization competes with pure computational power? And what limitations remain unsolved? Temporal consistency beyond 15 seconds, physics-aware generation, memory footprint, and energy efficiency are still open challenges for both approaches. A technical deep dive into how different architectural innovations are rewriting the rules of AI generation.

The emergence of autonomous AI agents marks a paradigm shift: for the first time, artificial systems can make decisions and act without direct human supervision. This autonomy raises unprecedented legal and operational questions that every startup must address to mitigate real risks.This panel explores the practical challenges of implementing autonomous agents. We’re not talking about technological hype, but about how to build systems that are safe, traceable, and compliant when the rules of the game are still emerging.We will tackle three critical questions. When an AI agent makes an improper decision, who is legally responsible? How can full traceability of actions be ensured for agents operating in real time, making hundreds of decisions per day? What kill switch mechanisms allow stopping a misbehaving agent while balancing autonomy and safety?

Replace guesswork with testable decisions. Agentic AI now lets teams generate digital populations that mirror their markets. This allows you to preview how customers react to onboarding flows, fee disclosures, APR moves, cross-sell prompts, and collections outreach. Model churn before a price change. See which disclosures lower complaints. All tests run in a sandbox with policy rules enforced. I will show how teams shipped only what worked and cut time-to-market.

Autonomous agents are transforming how startups grow: commercial pipelines, R&D, cybersecurity, on-demand content, automated governance and compliance. How to integrate agentic systems into core processes: from content and threat analysis to the creation of personalized micro-courses and the automation of strategic data analysis. A panel designed for those who want to push their startup into a new phase of efficiency, execution speed and operational scalability through advanced agentic systems. Join a practical, founder-to-founder discussion on: which processes can already be agentized today (and which will be in the next 6–12 months); what it takes to design and orchestrate hybrid human + agent teams; how agents are reshaping media intelligence, cybersecurity, edtech and data-driven consulting; and which capabilities founders need to truly leverage Agentic AI.

AI is not just a ‘technology add-on’, but a paradigm shift that demands careful design. With an approach that combines strategic design and AI, we will share tools and principles to understand usage contexts, shape intelligent experiences that foster adoption, and prototype more rapidly to bring the product vision to life.

The introduction of GraphRAG, hybrid RAG+KG systems, and vertical LLMs/SLMs for clinical domains brings new structural challenges: the lack of gender-disaggregated data, biased graph nodes, and embeddings that fail to represent minority populations. This session offers a technical discussion: How does dataset unevenness affect retrieval and reasoning? Which metrics are needed to evaluate gender misrepresentation in RAG systems? And how can we model dynamic, geolocated queries in low-information-density contexts? I will share insights from Geen, a GraphRAG system for medical triage, to explore failure cases, performance limitations, and retraining strategies. A conversation designed for engineers, developers, and knowledge-system architects.

How do you build a competitive advantage when AI becomes an autonomous agent? A practical journey into AI that supports both those who design the future (R&D) and those who manage the present (Operations). Together with B4I – Bocconi for Innovation, we explore two crucial stages of the corporate value chain. QGrain, the platform that reduces risks and R&D timelines by providing market intelligence and automated compliance checks for new products. ProcederAI, which transforms operations by converting videos and actions into standardized procedures and interactive training.

What is the value of privacy, data security, and regulatory compliance in the era of AI? What we now call data sovereignty has become an essential requirement for many companies. This is where NT Nuove Tecnologie comes into play, together with NVIDIA technologies, to develop Private AI projects: complete hardware-and-software infrastructures — customized, integrable, and designed to create an alternative or complement to the most well-known open-source solutions.

AI is introducing a new operational paradigm across the food value chain: digital agents capable of making autonomous decisions, adapting to data, and coordinating complex processes in real time. From demand planning to quality management, from logistics to sustainability, this evolution promises to make the supply chain more efficient, resilient and transparent. The panel explores concrete application cases and the impact on producers, startups and major brands.

A journey into the organization to discover how AI becomes an infrastructure that connects processes and people. Two perspectives—company and individual—to understand how artificial intelligence makes work more effective and sustainable, fostering collaboration and innovation.

Small and medium enterprises make up over 90% of the Italian production ecosystem, acting as the vital core of industrial districts and local economies. This roundtable explores how, with the introduction of Agentic AI, these companies can now access technologies that were once reserved for large enterprises due to the significant investments and dedicated teams required.

End-to-end testing of web applications is essential to ensure product quality and stability. Yet traditional approaches to automated E2E testing often clash with complex technologies, intricate user flows, long development timelines, and high maintenance overhead. But what if we could leverage the power of Large Language Models and AI agents to create automated tests that are robust, intelligent, and self-adapting? In this session, we explore the concrete technologies that enable the use of AI to automate E2E web testing. We’ll look at examples of intelligent agents capable of understanding interfaces, adapting to UI changes, and autonomously generating new test cases — ready to be unleashed into the testing environment in search of bugs.

An interaction engineer studies how to make digital technologies more intuitive and sustainable for humans. In this session, he will explain why it is no longer useful to view artificial intelligence merely as a tool, but rather as an interlocutor we communicate and collaborate with—one we can learn from and, in many situations, rely on, both at work and in everyday life. This relationship of reliance can be appropriate or not, both cognitively and ethically, and it must remain sustainable on a human level as well, so as not to erode our knowledge base and our motivation. The goal is to create hybrid intelligence: a form of human intelligence—ours—enhanced by technology. This hybrid intelligence emerges from a functional, conscious, and responsible collaboration between humans and AI systems: an AI that makes us more capable, not more dependent.

How are Artificial Intelligence technologies transforming the analysis, preservation, and enhancement of Cultural Heritage and archaeological practices? The talk presents real-world use cases—from automated identification to digital reconstruction and robotics—highlighting opportunities, limitations, and future perspectives for the field.

The talk explores how to design AI-ready business processes by adopting a Compliance by Design approach. It will cover governance, impact assessments, risk management, and the requirements of the AI Act’s risk-based framework. The focus will be on integrating these elements into organizational models, controls, accountability, and privacy protection to enable responsible and effective AI adoption.

Text and image generation is entering the age of full virtual-world simulation thanks to Large World Models. In this talk, we will explore how immersive interfaces—powered by models capable of imagining entire virtual contexts—will enable the creation of on-demand virtual spaces. From synthetic training grounds for surgeons and HR professionals to new frontiers in experiential marketing, we will analyze concrete case studies where simulation becomes tangible value. But if reality itself becomes promptable, what are the risks for our identity and our perception of the real world? This session offers a strategic and ethical guide to the next technological convergence.

The diverse uses of AI in sports are growing rapidly. This technology—especially through big data analytics—is driving a true revolution, ranging from scouting to performance enhancement, from tactical and strategic decision-making to doping detection (and its misuse). However, to fully leverage the value generated by AI, it is essential to understand its legal implications and the risks in terms of accountability. A challenge that must be addressed in advance.

AI is not just technology: it’s the heart of transformation. We will show how business challenges give rise to solutions that redefine the future. With concrete examples in the Financial and Industrial sectors, we will demonstrate how AI becomes a competitive advantage and a catalyst for efficiency.

AI is everywhere—but running it efficiently and responsibly in the cloud is a different challenge. As organizations race to deploy AI-powered applications, the energy and resource costs of training and serving models often remain an afterthought. In this talk, we will explore how cloud native technologies can unlock sustainable AI practices that go beyond the hype. We’ll discuss strategies for optimizing AI workloads using Kubernetes, serverless platforms, and cloud native observability, while keeping an eye on carbon impact and resource efficiency. Attendees will learn about scalable MLOps patterns, intelligent workload placement, and green computing techniques that reduce waste without compromising performance. Whether you are a platform engineer, cloud architect, or AI enthusiast, this session will equip you with practical approaches to make AI in the cloud efficient, cost-effective, and environmentally responsible—and finally move the conversation beyond buzzwords.

This speech will explore the embodiment of AI features in advanced robotics systems and how to design their lifecycle to ensure ethics and safety in the design and adherence to applicable standards and regulation. Also, different AI applications (e.g., preventive safety monitoring, digital twins. neural safety models etc.) to robotics in logistic and industrial applications will be presented to show how they can contribute in improving workplace safety.

If AI becomes the only interface between you and your customers, you’ve already lost.Autonomous agents browse the web, gather data, compare offers, and make decisions on behalf of users — without ever visiting your website.It’s the new “Amazon problem”: disintermediation at industrial scale.Just like Nike left Amazon to regain direct customer relationships, companies today must rethink their websites as agentic systems — not passive showcases, but intelligent architectures able to interact with both humans and AI agents.A strategic framework to help brands retain control over the customer experience in the era of the AI-mediated web.

Companies can no longer rely on static documents to assess the reliability of their partners. What’s needed is an infrastructure that certifies data, behaviours, and transactions over time.
This talk explains how KYP integrates AI, blockchain, and verifiable credentials to create a dynamic and immutable registry of supplier compliance, enabling more ethical, secure, and fully verifiable collaborations.

What does it mean to be a legal professional in the era of AI? Which activities can be enhanced, and which new skills are emerging? Martina Domenicali explores the transformation of the sector and the story of Lexroom — showing how AI can reduce time, streamline processes, and increase productivity in day-to-day legal work.

The greatest achievement in sports? Creating environments where children feel safe and respected. This means learning how to address potential issues that may arise within the sports context, such as bullying, but also being able to recognize what is happening in other areas of a young person’s life. In this panel, we will explore how everyone can play their part by combining experience, ethics, and technology. Because AI, too, can become our ally—if we train it well.

CLARA is a real-time AI-assisted cytology platform designed to bring high-quality medical screening closer to patients. This talk explores how robotics, telemicroscopy, and artificial intelligence can democratize access to fast, accurate diagnostics, reduce inequality in healthcare, and transform population-level screening into an accessible, point-of-care reality.