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UID:pretalx-ethereum-zurich-2026-JA9ENH@cfp.ducttape.events
DTSTART;TZID=CET:20260410T112000
DTEND;TZID=CET:20260410T114000
DESCRIPTION:This talk focuses on how AI is practically applied within decen
 tralized infrastructure systems\, turning distributed data into real-time 
 decisions across physical environments. It expands how AI models are deplo
 yed beyond centralized cloud environments— at the edge (devices\, sensor
 s\, and local nodes)—to enable low-latency inference\, autonomous operat
 ion\, and efficient resource utilization. \nUsing real-world case studies 
 in energy\, smart cities\, and healthcare\, the session demonstrates how a
 pplied AI enables:\n- improve efficiency and resource utilization: real-ti
 me prediction and optimization\, \n-   reduce operational costs: automatio
 n of infrastructure operations with minimal human intervention\, \n- incre
 ase system resilience and uptime: distributed model training and inference
  across heterogeneous environments\, \n- enhance data privacy and regulato
 ry compliance: privacy-preserving AI\, where sensitive data remains local.
 \nOverall\, the talk provides a practical perspective on building intellig
 ent\, resilient\, and scalable infrastructure\, where AI is embedded direc
 tly into the physical world.
DTSTAMP:20261013T183020Z
LOCATION:Glatt (Y22-F-68/70)
SUMMARY:Applied AI in Decentralized Physical Infrastructure Networks: From 
 Data to Real-World Impact - Anastasiia Gorbatenko
URL:https://cfp.ducttape.events/ethereum-zurich-2026/talk/JA9ENH/
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