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.

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.

AI is not a buzzword — it’s an everyday tool. In this session, we’ll share how we use it to enhance design, development, and internal processes, and how we integrate it daily into our clients’ projects, turning it from yet another promise into a real driver of efficiency, impact, and tangible value.

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 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.

The demand for AI has exploded, yet the MIT “State of AI in Business 2025” report shows that few projects generate real impact. Companies aren’t looking for prototypes—they want results. This is where Neovia comes in: the value proposition of CRPI Digital Group that turns AI into tangible value. With Ignition, our proprietary framework, we identify the most strategic initiatives; Smart Products provide ready-to-use, customizable, and scalable solutions, while Custom Services support end-to-end adoption. We will present concrete and replicable use cases.

 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 entering the era of cognitive automation. But which solution should you choose? This talk examines the three main classes of agentic solutions: ready-to-use agents, which offer immediate operability with no technical skills required; programmable agents, which balance flexibility and ease of deployment; and fully custom-built agents, which provide maximum control and personalization at the cost of engineering complexity. Through use cases and a decision matrix, we will explore when each approach represents the optimal choice, analyzing trade-offs in cost, time-to-market, scalability, and governance. The goal is to equip decision makers with the tools needed to make informed choices that align technical solutions with business objectives.

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.

ChatGPT, Copilot, Gemini, and the new AI-powered engines are rewriting the rules of online visibility. In this talk, we’ll explore how to understand whether your brand is being mentioned (or forgotten) by artificial intelligence, how to monitor your presence, and what you can do to improve it. A new frontier of SEO, where the key question is simple: does AI talk about you — or about your competitors?

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.

The talk explores how agentic AI and GenAI can improve business processes when integrated into operational workflows and enterprise systems. Drawing on Abstract’s experience, it discusses real-world use cases and the impact on operations, process quality, and interaction with users and stakeholders.

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.

The talk will demonstrate how the Bytek Prediction Platform enables advanced use of first-party data through a zero-copy architecture that can unify, enrich, and activate information without introducing operational complexity. Three cases will be presented: the adoption of Value Based Bidding for Fluida, personalization through Interest Modeling in the Wellmakers project, and omnichannel optimization with predictive models applied to Iper La Grande i, highlighting how these approaches accelerate the time-to-value for marketing teams.

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.

In the talk “The Cloud in the AI Era,” Gabriele Gaetano Fronzé explores how artificial intelligence is transforming cloud infrastructure and why the future requires unified, sovereign, and lock-in-free architectures. From the role of the lightweight hypervisor to the distributed management of workloads, the talk illustrates how to build agile, scalable ecosystems that are truly ready for AI.

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.

How are Italian companies really using AI? No theory—just real cases. Together, we’ll look at concrete implementations of AI agents across different sectors: what works, what doesn’t, and, most importantly, what it takes to move from “we want to try AI” to having agents that work every day.

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.

The Agentic Era is redefining Customer Experience (CX). Luca Ciaraffo presents the ‘Productivity without Complexity’ vision, showing how Freshworks’ native AI (Copilot, Virtual Agent, and vertical features) enhances customer support efficiency. The talk—packed with demos and practical takeaways—promotes Augmented Intelligence (humans at the center of AI), creating a ‘Super Human’ customer service. A must-attend session for C-level executives and professionals seeking solid investments for 2026.

At this point in the AI era, companies face two critical challenges: models that are too general to be useful in business processes, and the growing need to protect increasingly valuable data. In our talk, we will show how ReQurv addresses this paradigm shift with a complete AI ecosystem consisting of private AI, an agentic Hub connecting different business areas, and a proprietary infrastructure with shared computing power ready for the future, Hive.

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.

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.

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.