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X-WR-CALNAME:Voxxed Days Ticino 2026
X-WR-RELCALID:c426493a-54d4-472b-b975-6f3aaa7163fa
X-WR-TIMEZONE:Europe/Zurich
BEGIN:VEVENT
UID:cfp-1151-8684@cfp.dev
DTSTAMP:20260920T122037Z
SEQUENCE:0
STATUS:CONFIRMED
DTSTART:20260206T150500Z
DTEND:20260206T155000Z
SUMMARY:Agentic AI Patterns
DESCRIPTION:There is no universally agreed definition of what an AI agent i
 s. In practice though\, several patterns are emerging. These patterns demo
 nstrate the coordination and integration of multiple AI services to build 
 sophisticated Agentic AI systems capable of handling intricate tasks.These
  Agentic Systems architectures can be grouped in 2 main categories: workfl
 ows\, where LLMs and tools are orchestrated through predefined code paths\
 , and autonomous agents\, where LLMs dynamically direct their own processe
 s and tool usage\, maintaining control over how they execute tasks.The goa
 l of this talk is to give a theoretical overview of Agentic AI in general 
 and these patterns in particular. We will discuss their differences and ra
 nge of applicability and show with practical examples how they can be easi
 ly implemented and tested. We’ll use Quarkus and its LangChain4j extensi
 on\, but the concepts are universal.\nSpeakers: Kevin Dubois\nTrack: Machi
 ne Learning & AI
URL:https://vdt26.voxxeddays.ch/talk/agentic-ai-patterns/
LOCATION:Room A\nPalazzo dei Congressi\nLugano\, Switzerland
CATEGORIES:Machine Learning & AI
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