E-commerce Festival

In un contesto sportivo sempre più competitivo e dominato dai grandi investimenti, l'Intelligenza Artificiale rappresenta una risorsa chiave per le realtà minori, spesso penalizzate da limitate risorse economiche e scarsa visibilità. Lo speech offrirà una panoramica generale sull'applicazione dell'AI nello sport, approfondendo poi il tema specifico di come tecnologie avanzate, ora accessibili anche con piccoli budget, possano colmare il gap tra sport popolari e quelli di nicchia. Dal marketing allo scouting, dalla promozione alla performance sportiva, l'AI consente oggi a club e federazioni di nicchia di raggiungere risultati impensabili fino a pochi anni fa. Attraverso esempi concreti e scenari futuri, verranno illustrate opportunità, strategie e criticità che le tecnologie AI offrono per favorire una crescita esponenziale e sostenibile negli sport meno conosciuti, trasformando piccole realtà sportive in protagonisti di rilievo.

La rivoluzione silenziosa delle vendite è già qui: l'AI vocale sta ridefinendo il panorama del sales. Dalla prima interazione al closing finale, le tecnologie speech-to-speech stanno dimostrando potenzialità inaspettate. Esploreremo tecnologie attuali e sviluppi futuri per comprendere se e quando l'intelligenza artificiale vocale potrà realmente competere con le capacità persuasive del venditore umano. Una nuova era del sales è alle porte: sei pronto a coglierne le opportunità?

Join us for an engaging session where we explore the transformative impact of Microsoft's AI on modern enterprises. Discover how Copilot can streamline operations, enhance insights, and make audience engagement more effective. Through practical examples and innovative strategies, learn how to leverage AI to drive efficiency, stay ahead of market trends, and connect with your customers in new and exciting ways. Don't miss this opportunity to unlock the full potential of AI for your organization.

Viaggiare è sempre stato un atto profondamente umano: guidato dalla curiosità, dall’istinto e dall’emozione. È nel viaggio che ci mettiamo alla prova, che scegliamo, che scopriamo chi siamo e dove vogliamo andare.
L’Intelligenza Artificiale sempre più cerca per noi, ci ispira, ci suggerisce, ci traduce, ci guida, prenota, fotografa e recensisce… spesso prima ancora che ce ne venga in mente il bisogno.
Il viaggio, da esperienza vissuta, rischia di trasformarsi in un processo automatizzato.
E allora la domanda non riguarda solo il turismo, ma qualcosa di più profondo: Stiamo ancora scegliendo? o ci stiamo abituando a essere scelti?
In un’epoca in cui la tecnologia non si limita più ad assisterci, ma inizia ad anticiparci, è il momento di fermarci a riflettere. Non solo su cosa significa viaggiare, ma anche su cosa significa decidere, esplorare, vivere.
Scopriamo insieme le opportunità - e i paradossi - del turismo potenziato dall’intelligenza artificiale.

As AI shifts the focus of software development from coding to intent, trust becomes the foundation. This talk explores how we ensure correctness, safety, and control in GenAI-driven systems. From real-time guardrails and structured generation pipelines to LLM-powered test creation and formal verification, we’ll outline the emerging stack for building trustworthy, AI-native software—where human oversight doesn’t scale, but trust and capability do.

The rise of generative AI models has taken the technology world by storm. Yet, its reasoning capabilities cannot be fully used in mission critical settings, like medical decision making and biological design. In this talk I will delineate the risks of current generative AI methods and describe a future where humans can fully trust machines.

In this talk, I undertake a dive into two ostensibly unrelated—and potentially profoundly consequential—technological developments of the twenty-first century: Autonomous Vehicles (AVs) and Artificial General Intelligence (AGI). AVs are designed to navigate complex real-world environments without human intervention, while AGI represents a form of Artificial Intelligence (AI) endowed with human-level cognitive abilities. I do this specifically because I advocate that progress towards full vehicular autonomy stands as a novel and precise benchmark of humanity’s progress towards AGI.

La domanda nel 2025 non e' piu' se le macchine possono essere intelligenti, e neppure se possono conversare con noi senza essere riconosciute. Oggi l'ambizione e' aumentata, e si parla di macchine in grado di svolgere gli stessi compiti degli esseri umani allo stesso livello di competenza.Che strada si sta seguendo per realizzarle, come si misura il progresso, e che cossa succede dopo?E’ possibile immaginare un mondo in cui siamo superati in alcuni compiti intellettuali? Facciamo il punto.

We've moved past the era of simple prompts and into the age of sophisticated AI integration. Behind every successful AI system lies an invisible infrastructure of decisions that most organizations discover too late. This session maps the terrain beneath the surface - from the technical components to the interconnected web of data governance, integration architecture, and adoption dynamics that determine whether AI creates lasting value or expensive disappointment. From data preparation approaches that balance quality with speed to governance frameworks that enable rather than constrain, leaders and practitioners will gain practical insights for building AI capabilities that adapt and evolve with organisational needs.

The consolidation of science - how the natural and artificial sciences are working together to give us the full picture - connecting technology, humanity and business into practical and pragmatic applications. - Quantum Sensing - leveraging the science of the small

The fast-paced nature of the beauty and luxury industries demands early recognition and interpretation of trends to maintain a competitive edge. This proposal outlines an article exploring the transformative potential of AI-powered trendwatcher systems, developed by Artefact for a globally recognized Italian luxury and beauty brand. The system integrates AI with business strategy to detect emerging trends, predict their evolution, and interpret their relevance for actionable insights. The proposed article will focus on the three foundational pillars of the trendwatcher system—detection, prediction, and interpretation—and provide a deep dive into the AI architecture that powers it. By showcasing the interplay of advanced data science techniques with modular system design, the article will provide the data science community with a comprehensive case study on building impactful AI-driven systems in business contexts.        

Agenti, Robot umanoidi, sistemi intelligenti e definizioni future ancora non ben delineate ma d'ispirazione. Ma dove siamo realmente nell'evoluzione di questi sistemi e in che modo si puo' tradurre tutto questo in azioni per l'oggi?

This talk discusses how 3D Computer Vision and Generative AI can help us render and generate photorealistic immersive environments for real and virtual scenes. First I will present our recent technology to explore real 3D environments captured from a few images. Then I will introduce our research work using GenAI to generate a high-res 360 scene from a text prompt. I will show how this technology can power new experiences for mobile platforms and Augmented/Mixed Reality devices, and introduce the Android XR project.

This "Revolution" is merely the fruit of a long maturation, spanning several decades. After a brief historical review, we'll delve into these new AIs, the Generative AIs. We'll look at their limits and potential, and how they can be used for good or ill. Finally, we'll try to understand what the prospects are for us, humans, and for these technologies.

AI is rapidly transitioning from a future concept to a mainstream reality, fundamentally changing how we live, work, and connect. My work with AI at Google gives me a firsthand view of this major shift. Yet, my grasp of its profound effects is also deeply influenced by my personal quest for a more meaningful life, which encompasses Zen as well as the grounding practices of music, movement, and meditation. Through my integrated practice of presence and self-awareness – a transformative journey that empowered me to overcome many internal battles – I ultimately came to understand their crucial importance, a realization that speaks to a key challenge of our time: As screens and algorithms increasingly shape our realities, how do we stay anchored in ourselves and actively nurture our wellbeing? And as AI becomes an ever-growing part of our world, what fundamental ethical guidelines should steer this powerful technology to ensure it enhances, rather than diminishes, our human experience This isn't a talk about fearing AI; it's about gaining a clear-eyed perspective. We need to see AI for what it is: a powerful technology built on probabilistic models, essentially a mirror reflecting our own cognitive frameworks and, at times, our cognitive biases. To better understand this dynamic, I've been exploring insights from seemingly different domains: the age-old wisdom of Buddhism and the counterintuitive principles of quantum physics. Both, in their own way, offer perspectives on interconnectedness and the dynamic nature of reality – concepts that I believe have surprising relevance to our relationship with AI.  Ultimately, this isn't just a technical discussion. It's a human one. It's about how we find our footing, our sense of balance, a kind of "Zen"  in this rapidly evolving AI landscape. It's about fostering intentionality and presence so that these technologies truly serve to enhance our well-being, rather than inadvertently diminishing our sense of self. Let's explore how we can navigate this future with a combination of informed curiosity and a strong connection to our authentic selves, guiding our way ethically in the future of AI.

We have never known as much as we do today about how little we know about tomorrow. The world is changing, but the biggest changes are yet to happen. This applies to all industries, including banking and finance, but in no way limited to it. In this talk, Yngvar discusses how DNB approaches innovation and the use of AI technology to remain competitive in the short, medium, and long term, through extensive investments in artificial intelligence.

This talk examines the transformative role of artificial intelligence in the field of content creation, with a particular focus on media production processes such as scriptwriting, visual design, and animation. It aims to analyze how AI-driven technologies are now actively redefining the paradigms of video production and filmmaking. By reshaping the ways in which content is conceptualized, developed, and disseminated, AI is positioned as a pivotal force in the evolution of contemporary media practices.