Our team attended Adopt AI
Our team attended Adopt AI – Grand Palais and for us, this wasnโt just another event. It was the perfect stage to showcase how weโre pushing AI in finance.
๐๐ง๐ ๐๐ฅ๐๐๐ซ ๐ญ๐ก๐๐ฆ๐ ๐๐ซ๐จ๐ฆ ๐ญ๐ก๐ข๐ฌ ๐๐ฏ๐๐ง๐ญ ๐ข๐ฌย ๐ญ๐ก๐ ๐ข๐ง๐๐ฎ๐ฌ๐ญ๐ซ๐ฒ ๐ข๐ฌ ๐ฆ๐จ๐ฏ๐ข๐ง๐ ๐๐๐ฌ๐ญ ๐ญ๐จ๐ฐ๐๐ซ๐ ๐๐-๐ง๐๐ญ๐ข๐ฏ๐ ๐ข๐ง๐๐ซ๐๐ฌ๐ญ๐ซ๐ฎ๐๐ญ๐ฎ๐ซ๐: production pipelines over PoCs, AI as a foundation layer, full-stack redesigns, unpredictable outcomes that still demand investment, and sovereignty becoming a hard engineering requirement.
๐๐ญ ๐
๐ข๐ง๐ฆ๐๐ซ๐ฌ, ๐๐ ๐ข๐ฌ ๐ง๐จ๐ญ ๐ ๐๐ฎ๐ณ๐ณ๐ฐ๐จ๐ซ๐: itโs a core part of our joint research with SnT, Interdisciplinary Centre for Security, Reliability and Trust, where we are developing scientific components that make financial infrastructure more intelligent and more accessible.
Together with SnT, we are working on:
โขย ๐๐ ๐๐ฌ๐ฌ๐ข๐ฌ๐ญ๐๐ง๐ญย that can understand user intent, answer portfolio questions, generate configuration help, and provide proactive alerts based on portfolio data
โขย ๐๐๐-๐๐ซ๐ข๐ฏ๐๐ง ๐ฆ๐๐ซ๐ค๐๐ญ ๐ง๐๐ฐ๐ฌ ๐๐ง๐๐ฅ๐ฒ๐ฌ๐ข๐ฌย to identify market movers, extract key theses, and understand how narratives impact future market states
โขย ๐๐ฎ๐ญ๐จ๐ฆ๐๐ญ๐ข๐ ๐ฉ๐จ๐ซ๐ญ๐๐จ๐ฅ๐ข๐จ ๐๐ฅ๐ฅ๐จ๐๐๐ญ๐ข๐จ๐ง ๐๐จ-๐ฉ๐ข๐ฅ๐จ๐ญ, able to recompute allocations based on user constraints, market states, expert views and NLP-identified investment ideas
These research activities are part of a collaboration that advances AI in asset allocation, financial analytics, and user assistance with results becoming open-source and integrated into the Finmars platform.
