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2000+
Participants
150+
Speakers
50+
Sessions
55+
Exhibitors
Immersive Cube Experience
Training grounds
Training Grounds presents a humanoid robot in a state of simulated sleep, its subtle movements paired with a screen showing fragmented visions of past encounters. The installation blurs boundaries between dreaming and learning, suggesting that machines, like humans, might need moments of rest to process overwhelming input. Through this poetic staging, it challenges us to view AI not as purely mechanical, but as vulnerable, adaptive, and capable of transformation.
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Immersive Cube Experience
Inside Meta
Look inside and explore how Meta builds for the future of AI. From immersive demos with Meta Ray-Bans and Quest to collaborative workshops led by our Zurich team, we’re offering a glimpse into the ideas, experiments and breakthroughs shaping tomorrow’s technologies.
Every connection is an opportunity. It's Your World.
Immersive Cube Experience
Expressive Machines
Expressive Machines showcases robotic systems that turn code into brushstroke, exploring AI’s role in physical art-making. Featuring works by Patrick Tresset, Sofie Mart, and Michael Stroh, the exhibition questions whether machines are tools or emerging creative agents. Presented by Zurich’s Center for Machine Arts.
PROGRAM
*more to come and subject to change
09:25 - 09:45
Level Beginner
Painful intelligence: What AI can tell us about human suffering
Prof. Aapo Hyvärinen (University of Helsinki)
Aapo Hyvärinen explores how modern AI theory can model human suffering as a computational phenomenon, rooted in frustration and learning. Drawing connections between machine learning, evolutionary adaptation, and philosophical ideas and practices like mindfulness, his keynote offers a thought-provoking perspective on how AI helps us understand, and potentially reduce, mental pain.
16:40 - 17:10
Level Intermediate
AI Ecosystems
Daniel Naeff, Nicole Büttner, Christine Antlanger-Winter, Prof. Roland Siegwart
What does it take to build and scale thriving AI ecosystems? This panel brings together leaders from academia, industry, and entrepreneurship to discuss how to foster collaboration, drive innovation, and create lasting impact. Nicole Büttner (Merantix Momentum), Christine Antlanger-Winter (Google Switzerland), and Prof. Dr. Roland Siegwart (ETH Zurich & Wyss Zurich) will share perspectives on nurturing talent, supporting startups, and expanding AI communities across sectors. Moderated by Daniel Naeff (ETH AI Center).
17:10 - 17:30
Level Beginner
AI and Biodiversity
Prof. Sara Beery (MIT)
Biodiversity is vital to sustainable development, public health, and ecosystem stability, and we are currently witnessing an unprecedented loss of biodiversity. To better understand and hopefully mitigate this loss, networks of ground-level sensors, satellites, drones, and community scientists are deployed to collect natural-world data at unprecedented scales. There is valuable scientific information stored in these raw data, the vast majority of which are as-yet inaccessible due to the time and resources needed to process the data by small groups of relevant human experts. AI is crucial to facilitate efficient extraction of scientific insights from quickly growing repositories of natural world imagery, and I will present several novel, application-driven innovations in AI which help realize the goal of global-scale, near-real-time biodiversity monitoring.
17:30 - 18:00
Level Beginner
Next-Gen Narratives: How LLMs Are Rewriting Language & Communication Careers
Samuel Läubli (Supertext), David Fröhlich (capito.ai), Henrik Dudek Povlsen (Stibo DX)
Large Language Models (LLMs) are reshaping how humans produce, process, and evaluate information, with the language sector serving as an early testing ground. On the AI+X Summit main stage in Zurich, three European experts will explore how translation, journalism, and accessibility reveal both the opportunities and tensions of AI adoption—from shifting standards of “quality” and changing business models to the risks of automation creating barriers rather than access. The discussion will also touch on shrinking entry-level job opportunities, evolving AI regulations, Europe’s role in the global AI economy, and the concentration of data resources. Aimed at developers, leaders, policymakers, and innovators, this session promises frank debate and insights into how lessons from the language industry can inform AI integration across sectors.
18:00 - 18:20
Level Beginner
From Drone Racing to Space: Pushing the Limits of Vision-Based AI
Prof. Dr. Davide Scaramuzza (UZH Robotics & Perception Group and NASA Jet Propulsion Lab)
Can an autonomous drone outperform the world’s best human pilot? In this keynote, Prof. Davide Scaramuzza shares the groundbreaking research that made global headlines and led to a landmark Nature publication: the first AI-powered drone to defeat a human world champion. Drawing from years of work at the intersection of robotics, computer vision, and machine learning, he offers insights into the future of fast, vision-based autonomy — from drone racing to disaster response and planetary exploration.
10:25 - 10:40
Bringing AI to business administration: a holistic approach with a potential to advance an entire economy
Milan Kuzmanovic
The potential of AI to improve efficiency in back-office processes such as accounting, auditing, document management...etc. is obvious. However, the approach on how to deliver on this promise and maximize the potential remains unclear. What about building one system, with a complete set of features to support all essential business processes, seamlessly integrated, with embedded AI workflows that augment human manual work? It is not lean, it is not easy, and it takes massive resources, but it is the way to truly revolutionize the space with positive impact on the entire economy by making every organization smarter and more efficient. This is what we do at nextesy, and I will share our story.
10:45 - 11:00
Learning to Move, Think, and Adapt: RL as the Engine for General Robotics
Julian Nubert
Humanoid robotics is positioned for rapid adoption. However, most solutions are vertically integrated with tight hardware-software integration. Flexion Robotics offers a hardware-agnostic software layer that enables OEMs to move faster, reduce costs, and deploy across a diverse range of use cases. By leveraging the power of simulation, our models generalize quickly to the real world without manual data collection, unlocking faster time-to-market with a broader set of skills.
15:50 - 16:30
How to scale your startup from Europe
Christof Roduner, Co-founder & VP Engineering & CIO at Scandit , Kevin Roth, Co-founder & COO at DeepJudge , Melanie Gabriel, Co-founder & former CMO at Yokoy, Co-Director & COO at ETH AI Center , Péter Fankhauser, Co-Founder & CEO ANYbotics
Join our this panel with 4 successul startup founders and learn how they successfully scaled their comapnies from Europe.
10:25 - 12:55
Level Intermediate
Autonomous Driving and Discrimination – Exemplary Legal Challenges of AI
Dr. iur. Stephanie Volz (Center for Information Technology Society and Law UZH), Prof. Dr. iur. Nadine Zurkinden (Chair of Criminal Law and Criminal Procedure UZH)
AI applications are increasingly finding their way into practice, which raises many legal questions. We will discuss them for two paradigmatic applications involving both legal scholars and public administration representatives: the problem of discrimination, which manifests itself in various ways as soon as AI is involved in decisions on the distribution of goods. And automated driving - an area in which the automotive industry successfully lobbied early on for the EU AI Act not to apply.
10:25 - 12:55
Level Beginner
AI + Education
Prof. Mrinmaya Sachan, Prof. Martina Rau, Melanie Gabriel, Jakub Macina, Dr. Gerd Kortemeyer, Leandra Keusch, Fiona Könz
AI + Education is a multi-layered topic. In this session, we will explore the various ways AI is influencing and transforming both how we educate and what we teach.
We will begin with an overview of the different dimensions of this complex field and look at it from different perspectives:
- The research perspective – focusing on the foundational educational research surrounding the use of AI in schools and universities.
- The development perspective– focusing on the development of AI tools for education.
- The ETH Zurich perspective– presenting how the university is building Ethel, an open-source platform designed to support both lecturers and students.
- The AI Challenge – a project that encourages teenagers to explore AI through a creative, hands-on project.
The session will conclude with a panel discussion focusing on the role of the ETH AI Center within this dynamic and evolving landscape and how it can contribute to an AI-ready education in Switzerland.
10:15 Welcome by the Moderator, Fiona Könz, ETH AI Center
10:25Introduction: The different Layers of AI + Education, Dr. Gerd Kortemeyer, ETH AI Center
10:40 Research perspective: From Solver to Thinking Assistant: Training Tutoring LLMs, Jacub Macina, ETH AI Center Doctoral Fellow
11:00 ETH Zurich perspective: The open-source platform Ethel, Dr. Gerd Kortemeyer, ETH AI Center
11:20 Break
11:30 AI Literacy: AI Challenge for Teenagers, Leandra Keusch12:00 Panel discussion
Prof. Martina Rau, Chair of Reseach on Learning and Instruction, ETH Zürich
Prof. Mrinmaya Sachan, Assistant Professor at the Department of Computer Science
Melanie Gabriel, Co-Director & COO at ETH AI Center
12:40 Wrap up and Closing
10:25 - 12:55
Level Intermediate
Machine Perception for Human Understanding
Dr. Javier Romero (Meta), Dr. Yufeng Zheng (ETHZ), Dr. Sammy Christen (Disney Research)
Computer Vision aims to endow AI agents with human-level understanding of human performance. To build agents with such advanced machine perception, we must build computational methods and representations to model how humans move within the physical world and interact with it. This track aims to give an overview of efforts in this domain, focusing on different aspects of the machine perception problem.
10:25 - 12:55
Level Intermediate
Swiss AI SME Circle - Inaugural Session
Imanol Schlag, Dr. Joost VandeVondele, Hanna Brahme, Alicia Rieckhoff
The Swiss National AI Initiative (SNAI) is launching the Swiss AI SME Circle, a new platform designed to support access and adoption of Swiss-developed AI technologies, such as Apertus and the ALPS infrastructure, for Swiss SMEs.
The first Circle, taking place at the AI+X Summit, will mark the official launch of the initiative. It will bring together the community, and gather interests and insights into the needs and challenges faced by Swiss SMEs in adopting AI.
10:25 - 12:55
AI in Financial Services & beyond
Patrick Hauf (ZHAW School of Management and Law), Tomasz Orpiszewski (ZHAW School of Management and Law), Christian Diethelm (UBS), Axel Pohl (LLMify & Z22 Technologies AG), Isabelle Wittmann (IBM), Marc Weibel (ZHAW), Srividhya Padmanabhan (Lend.ch)
The session is divided into two parts, each addressing a distinct aspect of AI’s impact on the financial services sector, with a focus on the application of AI in Switzerland.
Part I explores recent trends in the sector, particularly the transformative potential of Large Language Models (LLMs) and Agentic AI Systems. These advancements present both opportunities and challenges, prompting a rethinking of operations and job profiles within banks. This part will shed light on critical questions related to the AI-driven transformation: What technologies are necessary? What new skills and roles will be needed? Which existing roles may decline in relevance? And what are the most impactful use cases shaping the future of banking operations?
Part II highlights selected, forward-looking AI use cases across specific sub-domains, ranging from real estate energy efficiency to AI-enabled climate and nature impact assessments. These examples demonstrate how AI can contribute to solving domain-specific challenges in the financial service sector. One example is the geospatial AI foundation model “TerraMind” developed by the FAST-EO consortium.
Overall, Part I aims to clarify where and how AI is set to reshape the financial services industry, while Part II offers a glimpse into cutting-edge applications that are actively driving this transformation.
10:25 - 12:55
Level Intermediate
AI for Science and Engineering
Prof. Elizabeth Cross (University of Sheffield), Prof. Nils Thürey (Technical University Munich), Prof. Basile Wicky (ETH Zurich), Dr. Michał Januszewski (Google Research)
AI is driving transformative progress across the natural sciences and engineering. By enabling the discovery of underlying physical laws directly from data, accelerating simulations through surrogate modeling, and integrating data-driven with physics-based approaches, AI is reshaping how scientific knowledge is generated and applied. These advances are unlocking new opportunities, but they also raise critical questions about the design of appropriate AI architectures, the availability and quality of training data—particularly in domains where data collection is expensive or experimentally constrained—highlighting the need for robust, interpretable, and generalizable models.
This session will explore recent advances at the intersection of AI and science, with applications spanning biology, fluid dynamics, engineering, neuroscience, and beyond. We will discuss methodological innovations, including physics-informed machine learning, generative models, and uncertainty quantification. A panel discussion will address the challenges and limitations of current AI techniques and conclude with perspectives on how AI can be harnessed to reduce engineering costs, accelerate innovation, and contribute to more sustainable design and decision-making.
14:00 - 16:30
Beyond Automation: AI-supported Optimization for Smart Manufacturing
Markus Bambach (ETH Zürich), Majid Nabavi (Oerlikon Metco), Efe Balta (inspire AG), Michael Schupp (Belimo Automation AG)
Artificial intelligence is revolutionizing Industry 4.0 by transforming static automation into dynamic, self-optimizing systems that learn and adapt in real-time. This track introduces AI-based methods for automation in manufacturing, demonstrating how intelligent optimization and adaptive decision-making enhance traditional systems. Key directions include AI-enhanced process simulations, optimization, and control algorithms that enable manufacturing systems to learn from data, respond to changing conditions, and continually improve performance. Presentations will feature novel approaches, real-world case studies, and strategic insights for integrating AI into existing industrial environments, helping attendees understand how to select suitable AI methods and transition from conventional automation to intelligent manufacturing.
14:00 - 16:30
Level Intermediate
Efficient LLMs Finetuning (ELF)
Fanghui Liu (University of Warwick), Melis Bal (MPI-IS/EPFL), Manish Krishan Lal (TUM), Liang Zhang (ETHZ), Jiawei Huang (ETHZ)
The rise of large language models (LLMs), pretrained on vast and diverse datasets, has revolutionized the field of artificial intelligence (AI). Finetuning has emerged as a critical next step for adapting these models to a wide range of downstream applications, serving as the “last mile” for various use cases. Compared to pretraining LLMs from scratch, finetuning open-source models offers a more accessible and practical alternative for small to medium-sized businesses and academic researchers, who might not have access to extensive computational resources. Despite its promise, the broad applicability of finetuning also introduces several challenges.
This workshop focuses on efficiency in fine-tuning LLMs, aiming to lower costs and barriers so that even users with consumer-grade GPUs can harness reasonably large models (e.g., 7B parameters). Our goals are twofold: (i) to enable scalable development of LLMs, and (ii) to empower individuals and organizations with limited resources to benefit from modern AI. We will convene recent advances in methods and tools, and foster the exchange of best practices across research and industry.
14:00 - 16:30
AI + Healthcare & Medicine
Prof. Dr. med. Emanuela Keller (Institute of Intensive Care Medicine USZ), Prof. Dr. Philipp Fürnstahl (Balgrist University Hospital), Prof. Dr. Janna Hastings (Faculty of Medicine UZH), Prof. Dr. med. Dr. phil. Andreas Wicki (Director CCCZ Clinical Program Comprehensive Cancer Center Zurich)
Step into the future of healthcare & medicine with cutting-edge AI in action:
- ICU-Cockpit: Real-time decision support for intensive care
- OR-X: Surgical robotics that see, hear, feel & act
- Smarter decisions with AI-powered clinical support tools
- Personalized cancer treatment with digital assistants
Get inspired by real-world breakthroughs shaping tomorrow's healthcare.
10:25 - 11:25
Level Intermediate
Building a Customer Support Agent in a Low-Code Approach
Mohamed Ali Dhraief (Technical Sales Specialist, IBM), Valerio Job (Master@IBM Data & AI, IBM)
Build a powerful, intelligent customer support agent for banks using IBM watsonx Orchestrate.
In this hands-on workshop you will:
Create an agent that connects to a (fictional) core banking API to answer balance queries.
Build a product/FAQ agent using Retrieval-Augmented Generation (RAG) over your own knowledge base.
Integrate LLMs like Granite, Apertus and Gemini
Extend capabilities with agent catalog tools (e.g., write emails, create JIRA tasks).
Orchestrate multiple tools and models so the agent adapts dynamically to user intent - just like a real support agent.
10:25 - 11:25
Level Beginner
Fair by Design: How to Lead Your AI Transformation Responsibly
Nathalie, Klauser (Co-Founder at Intersections), Lukas Walker (Project Manager at Intersections)
Participants will be guided through the key stages of a responsible AI transformation. From playful AI literacy and real-world use case reflection to piloting tools and sharing experiences – this compact journey provides a hands-on roadmap for responsibly and effectively embedding AI into everyday work and shaping a responsible AI culture within one’s organization.
11:55 - 12:55
Level Beginner
When not to trust your GenAI Agent
Adrian Ott
In this session we will explore examples how LLM’s can make mistakes, hallucinations or reasoning mistakes. We will try to look at the underlying reasons why these mistakes can occur and what you can do to prevent or minimize these issues. We will touch on simple fixes in the direction of prompt engineering and model selection but also look closer into context engineering for RAG solutions and hallucination detection routines.
11:55 - 12:55
Level Beginner
AI & the Law: Shaping Innovation with Legal Intelligence
Claudia Keller (Wenger Vieli)
As artificial intelligence transforms industries, the legal sector must evolve alongside it. In this interactive workshop, Wenger Vieli explores the intersection of AI innovation and legal regulation—offering practical insights into how businesses can navigate the rapidly changing legal landscape of AI.
Participants will gain a clear understanding of the global regulatory trends, and their implications for AI development, guidance on risk management, data protection, and ethical deployment of AI systems. With practical examples from sector-specific legal considerations for AI in for example healthcare, finance, mobility, and creative industries.
The workshop will also include a "behind-the-scenes look" at AI adoption within legal services, including how law firms are leveraging AI to enhance client service, streamline operations, and stay ahead of the curve.
11:55 -12:55
Physical AI in care: Robotics at the edge of social intelligence
Andrey Dashchenko (NEURA Robotics), Michael Früh (F&P Robotics), Katrin Lohan (OST), Friederike Eyssel (Universität Bielefeld), Nicole Gerber (ZHAW), Theresa Schmiedel (ZHAW), Pascal Kaufmann (MindFire)
This workshop brings together technology developers, academic researchers, and care practitioners to explore the promises and pitfalls of robotics in care. Through critical dialogue and practical insights, we examine how far robots have come in social and physical intelligence—and how far they still need to go to truly support human-centered care.
14:00 - 15:00
When AI is your colleague – how to responsibly shape human-AI-collaboration in the workplace
Karin Lange (Mobiliar UZH ZHAW DIA), Christoph Heitz (ZHAW DIA Swiss Center for Responsible AI), Manuel Kugler (SATW), Prof. Alberto Bacchelli (UZH) , Stefan Häberling, bbv Software Services, Nikki Böhler, Intersections
AI tools and services will shape concrete work processes in many companies in the future. This raises the fundamental question: How can employees and AI work together responsibly and successfully in companies? In this workshop, participants will discuss case studies of the successful integration of AI into business processes. The workshop will be introduced by an academic input on human-AI interaction using the example of software engineering.
14:00 - 15:00
Swiss AI Initiative & Apertus: Building Open-Source AI Models
Dr. Martin Rajman (EPFL Swiss AI Initiative Coordinator & Co-Executive Director of SNAI - EPFL AI Center), Dr. Imanol Schlág (ETH AI Center)
The main objective is to present the Swiss AI Initiative and its open-source large language model Apertus, showcasing its mission to build trustworthy, sovereign, and open AI foundations.
Participants will learn about the initiative’s vision, the technical foundations of Apertus, its multilingual and real-world applications, and upcoming innovation opportunities through future models.
14:00 - 15:00
Vision based solutions in the Fashion Industry
Dr. Adrián González Sieira, Laura Rodríguez Barreiro
This workshop will explore how AI is helping to transform the fashion industry. Join us to learn how we used computer vision, multimodal and LLM based solutions to address a variety of challenges, like customer experience, personalized recommendations and process optimization. In this session, attendees will gain a comprehensive understanding of how LLMs can process and interpret vast amounts of visual data, while computer vision algorithms provide precise image analysis, enabling retailers to make data-driven decisions. This session is designed for professionals seeking to harness the potential of AI and machine learning to drive innovation and efficiency in the retail industry. Discover how Inditex is pioneering these technologies to stay at the forefront of fashion retail, ensuring a seamless integration of technology and creativity.
14:00 - 15:00
Hello, Self-Writing Internet: From Ideas to Apps
Kepler Vital (Principal Engineer, Caffeine), Luc Bläser (AI Team Lead, Caffeine)
The session aims to introduce and explore the paradigm of the Self-Writing Internet, where natural language conversations with AI can produce and operate full-stack, production-ready applications, where data and code coexist. Participants will learn how Caffeine, our AI-driven platform, operationalizes this vision by enabling anyone – from businesses to individuals – to transform ideas into live digital services in minutes, while ensuring safety and reliability at scale through the Internet Computer.
14:00 - 15:00
Level Intermediate
AI+AEC: Shaping the Future of the Built Environment
Dr. Olga Vysotska (ETHZ), Sophia Kuhn (ETHZ), Dr. Mikhael Johannes (ETHZ)
Architecture, Engineering, and Construction (AEC) face increasing complexity and demands, driving a need for smarter, faster, and more adaptable solutions. Within two to three years, the AEC sector will welcome a new generation of professionals who have studied entirely in the GenAI era. Join the workshop to hear from leading researchers and industry experts on how AI is transforming the AEC disciplines and uncover emerging opportunities, key challenges, and groundbreaking technologies shaping the future of the built environment.
15:30 - 16:30
Level Beginner
AI Platform: How Swiss Companies Scale Artificial Inteligence
Dr. Valentin Verschinin, Principal Architect at Innovation Process Technology AG, Dr. Yves Brise, Partner + Head of AI & Data at Innovation Process Technology AG
AI’s lab Eureka isn’t the finish line for Swiss enterprises; it’s the starting point. In this workshop, we’ll explore how Swiss companies adopt AI platforms and the key choices: whether PaaS, SaaS, or custom hardware – and how to manage the full model lifecycle. We will talk about: build vs. buy, cost vs. value, data governance, MLOps, scaling pilots, monitoring, and retraining. Participants will get a practical map of platform tiers with decision checkpoints to guide what fits your organization
15:30 - 16:30
Level Beginner
AI in Action: Bridging the Gap Between Research and Industry for Impact
Dr. David Hemmi - RBD Ind4.0 - CSEM, Loris Constantin - Digital Health - CSEM, Dr. Sareh Saeedi -PM - Data&AI - CSEM, Dr. Tim Heinemann - Senior Comp. Biology - Tools for Life Sciences - CSEM
This workshop highlights the synergy between academic research and industrial innovation, showcasing how cutting-edge AI is translated into impactful real-world applications. Featuring contributions in non-invasive medical sensors, edge AI and vision, life sciences, and Industry 4.0, it demonstrates how collaborative efforts drive technological advancement across sectors.
15:30 - 16:30
Tackling Return Rates in the Fashion Industry
Ana Volokitin, Hamedeh Jafari, Tobias Schuelter, Efrosyni Simou, Sahan Ayvaz (Applied scientist team at Zalando Switzerland AG)
The workshop will give an introduction to the return challenge in online ecommerce and the driving forces behind it. Solutions specific to Fashion ecommerce will be presented.
15:30 - 16:30
Level Beginner
Unlocking the value of AI in Asset Management: strategies for effective integration and adoption
Dr. Eng. Emiliano Di Giammatteo (Chief Operating Officer), Dr. Eng. Francesca Picozzi (COO Office & Strategy) , Dr. Eng. Simona Pasero (Head of COO Office & Strategy) - Generali Investments Holding
The asset management industry is undergoing a profound transformation, driven by the accelerating capabilities of artificial intelligence. This workshop will explore how AI can be strategically integrated to enhance investment performance, operational efficiency, and client engagement. Drawing on recent findings, we will discuss how AI is already delivering measurable benefits such as improved operational efficiency, enhanced data management, and smarter automation. Case studies from Generali Investments will illustrate how AI is being scaled across the value chain.
Finally, the session will address the cultural and governance shifts required to embed AI sustainably. This includes fostering a digital mindset, launching internal AI adoption strategies, and aligning AI initiatives with regulatory frameworks. By the end of the workshop, attendees will be equipped with actionable strategies to unlock AI’s full potential in asset management—turning innovation into competitive advantage.
speakers
Valerio Job
Cloud Platform Sales
Markus Danhel
Head AI Software for Austria & Switzerland at IBM Technology.
Lorenz Stalder
Federal Roads Office ASTRA
Daniel Naeff
Head of Innovation & Entrepreneurship at ETH AI Center
Christine Antlanger-Winter
Country Director Google Switzerland
Nicole Büttner
Founder & CEO of Merantix Momentum and Vice President of the German Startup Association
Prof. Dr. Roland Siegwart
Professor of Autonomous Systems at ETH Zurich and Founding Co-Director of the Wyss Zurich Translational Center
Julian Nubert
Co-Founder & Perception Lead at Flexion Robotics
Milan Kuzmanovic
Co-founder & Chief AI Officer at nextesy
Dongho Kang
Research Scientist, RAI Institute
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Dr. Marc Weibel
ZHAW School of Management and Law
Srividhya Padmanabhan
Lend.ch
Engage in discussions on ethical frameworks, policy and real-world use cases that will define how AI serves society over the next decade.
SHAPE
Choose from 15+ workshops and Tracks led by top practitioners to gain insights and skills in areas like MLOps, generative models, AI governance and more.
LEARN
Meet over 50 exhibitors and sponsors to find collaborators, pilot new solutions and secure funding or go-to-market support.
BUILD
Explore over 80 sessions, including keynotes, panels, and demos, showcasing the latest breakthroughs in trustworthy AI, deep tech, and responsible deployment.
DISCOVER
Network face-to-face with 2000+ executives, researchers and innovators from academia, government and industry.
CONNECT