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UID:20251006T073500EDT-742327Jtto@132.216.98.100
DTSTAMP:20251006T113500Z
DESCRIPTION:Applications of Large Language Models (LLMs) in Asset Managemen
 t\n\nɬÀï·¬ Desautels' Finance Area in partnership with FIAM are thrilled 
 to announce the 2025 Asset Management Hackathon\, a cutting-edge event tha
 t brings together the brightest minds in finance\, technology\, and innova
 tion. Dive into the realm of Big Data and AI as we tackle finance challeng
 es with creativity and technical expertise.\n\nThis year\, you will have a
 ccess to both quantitative market data and textual datasets — including qu
 arterly corporate filings or earnings call transcripts for global public c
 ompanies. Use these resources to explore how LLMs can be trained and appli
 ed to portfolio construction\, stock selection\, and risk management.\n\nT
 he Innovation Challenge: Build a Portfolio with a Bottom-Up Approach Power
 ed by AI. Tackle this exciting and innovative challenge by leveraging Glob
 al Markets publicly traded equities\, fundamental big data\, and alternati
 ve data\, while applying advanced machine learning\, natural language proc
 essing\, and artificial intelligence techniques to construct a robust inve
 stment portfolio.\n\nDate: November 5-6\, 2025\n	Locations:\n\nEspace CDPQ
 \n	3 Place Ville-Marie\, RC level (reception)\n	Montreal\, QC H3B 0E7\n\nSta
 tion Fintech\n	4 Place Ville-Marie\, Suite 300\n	Montreal\, QC H3B 2E7\n\nVi
 sit website\n
DTSTART;VALUE=DATE:20251105
DTEND;VALUE=DATE:20251106
SUMMARY:ɬÀï·¬-FIAM Asset Management Hackathon 2025
URL:/dobson/channels/event/mcgill-fiam-asset-managemen
 t-hackathon-2025-368149
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