AI in Action: Use Cases
- Date
- 2024-01-16
- Location
- follow the corridor to the back, Davos Platz, Graubünden, Switzerland
- Host
- unDavos Summit
About this event
AI is moving fast, but most of the real value comes down to one question: where is it actually working right now? AI in Action: Use Cases is a focused in-person meetup for people who want practical conversations about how AI and autonomy are being applied, where they create leverage, and what it takes to move from ideas to execution. This is a community-centered session designed for people who care less about hype and more about examples, tradeoffs, and useful connections. If you want to sharpen your understanding of real-world AI applications while meeting others thinking seriously about the space, this morning gathering is built for that. About the Event This meetup brings people together around a simple theme: AI is most valuable when it solves concrete problems. Rather than treating AI as an abstract trend, the event centers on use cases, practical thinking, and peer-to-peer exchange around what autonomy can look like in action. Expect a format that supports both learning and conversation. The setting is intentionally in person, which makes it easier to compare notes, ask direct questions, and have the kind of nuanced discussions that are hard to replicate online. The event is also rooted in community. That means attendees are not just there to listen; they are there to contribute perspectives, pressure-test assumptions, and share what they are seeing in their own work, teams, or industries. Whether you are deeply involved in AI already or actively trying to understand where it fits, the goal is to create a room where practical insight travels quickly and useful connections form naturally. What to Expect The conversation will focus on AI use cases and applied autonomy. That can include where AI is already driving efficiency, decision support, workflows, product experiences, or entirely new ways of operating. The emphasis is on what is being tried, what is working, and where the real opportunities and constraints are. You can expect a mix of structured discussion and informal networking. Rather than a passive sit-back-and-watch experience, this meetup is best approached as an active exchange with other attendees who bring different backgrounds, questions, and examples. A typical flow for a meetup like this may include: A short opening to frame the topic and set the context Discussion around current AI use cases across different domains Conversation about autonomy, implementation challenges, and practical lessons Time to meet other attendees, compare experiences, and continue the discussion more informally Bring your curiosity and your own examples. The most useful moments in gatherings like this often come from specific conversations: where someone shares a process they automated, a workflow they improved, a challenge they hit, or a pattern others in the room immediately recognize. Why Attend If you are trying to make sense of where AI fits in real operations, products, or strategy, this meetup gives you a more grounded lens. You will leave with a clearer understanding of how people are thinking about applied AI beyond broad claims and surface-level trends. You will also get the chance to hear how others are approaching similar questions. That matters whether you are exploring AI for the first time, already building with it, or trying to understand the role of autonomy in your field. Sometimes the fastest way to refine your thinking is to hear how others define the problem. Reasons people attend events like this include: To identify practical use cases worth exploring further To learn from real conversations instead of generic theory To understand how autonomy is being discussed and applied today To meet peers, collaborators, and thoughtful people in the AI community To leave with sharper questions, better language, and more relevant context This is especially valuable if you prefer discussions that are concrete, current, and useful. The takeaway is not just information; it is perspective, pattern recognition, and the chance to connect with people who are actively paying attention to the same shift. Practical Details Format: In person meetup Location: Follow the corridor to the back, Davos Platz, Switzerland Date: Tuesday, January 16 Time: 9:00 AM GMT+1 Because this is an in-person morning event, it helps to arrive a little early so you can find the space comfortably and settle in before the discussion starts. The location note is straightforward: follow the corridor to the back. This setting is best for attendees who want live conversation, direct exchange, and the energy of being in the room with others interested in AI, autonomy, and community. If that sounds like your kind of environment, you will likely get the most out of showing up ready to participate. If you are deciding whether to come, the simplest answer is this: attend if you want to spend your morning with thoughtful people discussing where AI is actually being put to work, what autonomy means in practice, and how those ideas are taking shape right now.
Who should attend
This is for people who want practical AI conversations, not vague trend talk, and who value meeting others thinking seriously about real-world use cases. - You are exploring **how AI can be applied in concrete ways** inside products, teams, workflows, or operations and want sharper examples to learn from. - You work on or around **AI, automation, or autonomy** and want to compare notes with others who are testing ideas, building systems, or evaluating what is actually useful. - You are a founder, operator, builder, strategist, or investor looking to better understand **where AI creates real leverage** versus where it is still mostly promise. - You learn best through **discussion and live exchange**, and you want the chance to ask questions, challenge assumptions, and hear how others are approaching similar problems. - You care about **community and networking** and want to meet thoughtful people in Davos who are engaged with AI from a practical angle. - You do not need to be an expert. If you are curious, informed, and ready to participate in a grounded conversation about AI in action, you will be a strong fit.