BEGIN:VCALENDAR
VERSION:2.0
METHOD:PUBLISH
CALSCALE:GREGORIAN
PRODID:-//WordPress - MECv7.36.4//EN
X-ORIGINAL-URL:https://positio-lehti.fi/
X-WR-CALNAME:Positio
X-WR-CALDESC:Paikka­tiedon erikois­lehti
X-WR-TIMEZONE:Europe/Helsinki
BEGIN:VTIMEZONE
TZID:Europe/Helsinki
X-LIC-LOCATION:Europe/Helsinki
BEGIN:DAYLIGHT
TZOFFSETFROM:+0200
TZOFFSETTO:+0300
TZNAME:EEST
DTSTART:20260329T040000
RRULE:FREQ=YEARLY;BYMONTH=03;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0300
TZOFFSETTO:+0200
TZNAME:EET
DTSTART:20261025T030000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=4SU
END:STANDARD
END:VTIMEZONE
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-PUBLISHED-TTL:PT1H
X-MS-OLK-FORCEINSPECTOROPEN:TRUE
BEGIN:VEVENT
CLASS:PUBLIC
UID:MEC-2dd6f963d9acac8cff87b962bdce534c@positio-lehti.fi
DTSTART;TZID=Europe/Helsinki:20260922T110000
DTEND;TZID=Europe/Helsinki:20260922T123000
DTSTAMP:20260811T144637Z
CREATED:20260811
LAST-MODIFIED:20260811
PRIORITY:5
SEQUENCE:1
TRANSP:OPAQUE
SUMMARY:Earth observation use cases with AI
DESCRIPTION:\nThis workshop introduces the concept of agentic EO systems, where AI agents combine planning, tool use, and reasoning to autonomously perform multi-step geospatial analysis from natural-language requests. Drawing on recent developments, the session explores open-source architectures, data sources, and AI frameworks that could support similar capabilities in research and public-sector contexts.\n
URL:https://lumi-ai-factory.eu/trainings/earth-observation-use-cases-with-ai/
LOCATION:Online
ATTACH;FMTTYPE=image/png:https://positio-lehti.fi/wp-content/uploads/2026/08/360_220_Earth_observation.png
END:VEVENT
END:VCALENDAR
