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UID:pretalx-2025-8H8MBB@cfp.in.pycon.org
DTSTART;TZID=IST:20250913T153000
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DESCRIPTION:Multi-agent systems are gaining traction across various domains
  due to their ability to adapt and operate in dynamic environments while a
 ccomplishing complex tasks. This is largely attributed to their capabiliti
 es in tool invocation\, context management\, planning\, and inter-agent co
 llaboration. While their potential is promising\, developing sophisticated
  multi-agent systems for real-world applications presents a unique set of 
 challenges\, including accuracy\, latency\, and operational costs.\n\nIn t
 his talk\, we will delve into these challenges in depth and discuss practi
 cal strategies for addressing them through a detailed case study of a conv
 ersational AI assistant designed to interact with enterprise data. We will
  elaborate on the practices followed to build multi-agent systems that han
 dle diverse tasks to derive insights.
DTSTAMP:20260317T123623Z
LOCATION:Track 1
SUMMARY:Navigating Real-World Challenges in a Production-Grade Multi-Agent 
 System - Sibin Bhaskaran
URL:https://cfp.in.pycon.org/2025/talk/8H8MBB/
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