β˜• SocialπŸ“ AmsterdamOpen to all

AdvancedAI Amsterdam

WhenWed, Oct 14, 5:30 PMStarts in 12 daysπŸ“… Add to calendarWhereXebia Netherlands BVWibautstraat 200, Amsterdam, NHπŸ—Ί Apple MapsπŸ—Ί Google MapsπŸš• UberHostAdvanced AI AmsterdamCostNot stated β€” check with the hostOneJoy doesn't handle payments β€” settle directly with the host or venue.CapacityOpen β€” no spot limit

About this event

🌟 AdvancedAI Amsterdam 🌟 πŸš€ Our mission is to share knowledge and innovative ideas with engaged attendees at our in-person AI meetups, making the community bigger and better. πŸ• Free event with pizzas and drinks πŸ—“οΈ Date & Time: Join us on October 14, at 18:00 for an evening filled with insights, networking, and the joy of AI. πŸ“ Location: We'll gather at the Xebia office at Wibautstraat 200, 1091 GS Amsterdam (https://maps.app.goo.gl/BYrCDV2qbMueRHLB8) πŸ•’ Event Schedule: β€’ 17:30 - Walk in, Drinks & Pizza πŸ• β€’ 18:00 - Explainable Agentic Workflows \- Arman Kavian β€’ 18:40 - Can Agents Dream? \- Florian Buetow β€’ 19:20 - Grounding AI Agents in Your Data Model \- Ricardo Granados β€’ 20:00 - Drinks and networking β€’ 21:00 - Doors close πŸ’¬ Talks: β€’ Explainable Agentic Workflows \- Arman Kavian Agents don't report their reasoning. They narrate it. Preserve the reasoning as structure, and the story can be checked against what actually drove the outcome. β€’ Can Agents Dream? \- Florian Buetow During sleep, our brain replays and reorganizes past actions and experiences, helping us learn from them through dreaming. Most agents' memory systems have no equivalent. They store and retrieve information on demand. But they do not replay or learn from the agents' past actions. This session introduces dreaming as an agentic memory architecture that improves the performance of long-running agents. It covers the main approaches and compares them with retrieval-based memory systems. β€’ Grounding AI Agents in Your Data Model \- Ricardo Granados Lopez AI can already read your SQL and draft what a data model means. This talk is about what has to be true before you'd trust that draft enough to rely on it. We'll walk through a working pipeline, live, that grounds an AI agent's claims about your data in real evidence, and come away with a precise, testable answer for where that trust can be automatic and where it can't. Looking forward to welcoming you! πŸ‘‹πŸš€

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