AI in Finance - Paris
Applied AI across Wealth Management, Market Data, Quant Research & Financial Infrastructure
Overview
AI is transforming every layer of finance — from wealth advisory and portfolio construction to market data infrastructure and quantitative research. Join 200+ well-curated tech-savvy fund managers, quants, engineers, and data leaders for an afternoon of 4 industry talks, 7+ live product demos, and 2 expert panels at Harvest Groupe in Paris.
Event Details
Across 4 industry talks, 7+ live demos, and 2 expert panels, you will discover: How AI is reshaping wealth management and advisory. The latest in market data infrastructure and quantitative AI. Live product demonstrations from leading data, cloud, and AI platforms. Perspectives from practitioners at top financial institutions, fintechs, and tech companies.
Focus
Applied AI across Wealth Management, Market Data, Quant Research & Financial Infrastructure
Audience
200+ well-curated tech-savvy fund managers, quants, engineers, and data leaders
Event Schedule
A carefully curated program designed to maximize learning, networking, and practical insights
Arrival & Registration
Opening Remarks
Fayssal El Mofatiche (Founder, Finteda) opens the day with a short framing of why AI in finance is moving from speculation to production, what to listen for across the afternoon's talks, demos and panels, and how the room is built — investors, banks, fintechs and researchers in the same conversation.
Decomposing, Forecasting & Trading Inflation — Using Machine Learning & Alt Data
In this talk we discuss the various components of inflation and how it is measured, including which components tend to drive inflation most. We discuss various approaches for forecasting inflation, focusing on a machine learning based approach with large amounts of data, and the types of data that can be relevant for forecasting. We close with systematic trading strategies that can be used to trade inflation forecasts across several macro asset classes.
The end of the wealth management advisor — or the beginning of their revolution?
Is this the end of the wealth management advisor, or the beginning of their revolution? Will AI make wealth management advice obsolete? What is Harvest's vision?
Leveraging AI to drive Advisor efficiency and client engagement
Given FactSet's recent AI enhancements in it's Wealth offering, learn how Advisors are gaining efficiencies in order to drive client engagement. From surfacing Investment insights to helping Advisors prepare Portfolio reviews with their clients, AI is helping Advisors service more clients leveraging AI Technology at scale while ensuring all the necessary guardrails are in place regarding data confidentiality
Machine Learning and AI at EvarInvest AM
Alexandre Cesari (Director, EvarInvest AM) on building an investment process where Macro economic data and Machine Learning is a primary decision input — and some experience feedback in the research-to-portfolio pipeline when using AI in an entrepreneurial Asset Management firm. I'll go over our machine learning based strategy Ex Machina and do a quick review of our use of LLM/agents inside the firm.
Databricks & NeuralK
Financial institutions are under constant pressure to make faster, more accurate decisions, yet training reliable machine-learning models on tabular data remains time-consuming and resource-intensive. Tabular Foundation Models offer a new approach: pre-trained on large volumes of tabular data, they deliver strong predictive performance out of the box, with minimal fine-tuning. In this demo, Aaron will showcase how to use Seldon — Neuralk's enterprise-grade Tabular Foundation Model — with financial data to accelerate decision-making, all within a Databricks environment.
Reading Microstructure with Temporal Fusion Transformers
Iordanis Kerenidis (Co-Founder & CTO, Quantum Signals) on Temporal Fusion Transformers for equity-index futures microstructure: letting the model learn the judgment calls every intraday strategy makes by hand — what regime are we in, is the day trending or mean-reverting, which features matter right now, how far back should we look. Live results on ES, NQ, RTY, and YM.
Networking Break
CBOR and Semantics — a recipe for AI-ready client insights
Exploring the components of a Client Book of Record (CBOR) and how semantics make it AI-ready. Dr. Till Blesik (Director DACH / Enterprise Architect, Aiviq Intelligence) and Gregory Viet (Head of Client Operations, HSBC) will first discuss fundamentals and how HSBC is pulling off a market-leading CBOR implementation, before covering industry trends in the field of Client Intelligence.
AISOT Technologies
Stefan Klauser (Co-Founder & CEO, Aisot Technologies — Zurich) live demo of the AISOT platform: AI-driven quantitative tools built for asset managers, with a focus on how the workflow looks when ML inference sits inside the portfolio-construction loop rather than next to it.
Zanista AI
10-minute live demo of NewsWitch. Zanista processes close to a million financial news articles a day and turns that flow into structured, machine-readable signals — a computational layer over the news that sits inside a portfolio workflow. The takeaway is how news is being repriced from narrative content into intelligence infrastructure, and what that looks like in practice. Used one way it enhances alpha, used another it tightens risk monitoring. Same feed, depends on the desk.
Wealth Management x AI
What AI actually changes in the wealth-management operating model — what's shipped, what's still demo-stage, what's worth the regulatory friction. Six vantage points across systematic asset management, multi-generational private wealth, ETF / capital markets, wealth-tech AI, and our host platform. Moderated by Friedhelm A. Schmitt (CEO, Fincite).
Networking Break
LinkUp
Most AI agents are flying blind. They hallucinate, rely on stale training data, or scrape the web with brittle wrappers. Linkup gives agents real-time, structured web access built for production, not prototypes.
Virgo: A Purpose-Built Language Model for Autonomous AI Agents
AI Agents in Finance
Where AI agents are actually in production inside banks and funds today, and where they're still proof-of-concept. Four operator perspectives — sell-side quant from Deutsche Bank and BNP Paribas, private-banking AI from Berenberg, and the founder building the agent infrastructure those teams are starting to test. Moderated by Hanane Dupouy, creator of the 'AI Agents in Finance' course.
Closing Remarks
Networking & Drinks
Arrival & Registration
Opening Remarks
Fayssal El Mofatiche (Founder, Finteda) opens the day with a short framing of why AI in finance is moving from speculation to production, what to listen for across the afternoon's talks, demos and panels, and how the room is built — investors, banks, fintechs and researchers in the same conversation.
Decomposing, Forecasting & Trading Inflation — Using Machine Learning & Alt Data
In this talk we discuss the various components of inflation and how it is measured, including which components tend to drive inflation most. We discuss various approaches for forecasting inflation, focusing on a machine learning based approach with large amounts of data, and the types of data that can be relevant for forecasting. We close with systematic trading strategies that can be used to trade inflation forecasts across several macro asset classes.
The end of the wealth management advisor — or the beginning of their revolution?
Is this the end of the wealth management advisor, or the beginning of their revolution? Will AI make wealth management advice obsolete? What is Harvest's vision?
Leveraging AI to drive Advisor efficiency and client engagement
Given FactSet's recent AI enhancements in it's Wealth offering, learn how Advisors are gaining efficiencies in order to drive client engagement. From surfacing Investment insights to helping Advisors prepare Portfolio reviews with their clients, AI is helping Advisors service more clients leveraging AI Technology at scale while ensuring all the necessary guardrails are in place regarding data confidentiality
Machine Learning and AI at EvarInvest AM
Alexandre Cesari (Director, EvarInvest AM) on building an investment process where Macro economic data and Machine Learning is a primary decision input — and some experience feedback in the research-to-portfolio pipeline when using AI in an entrepreneurial Asset Management firm. I'll go over our machine learning based strategy Ex Machina and do a quick review of our use of LLM/agents inside the firm.
Databricks & NeuralK
Financial institutions are under constant pressure to make faster, more accurate decisions, yet training reliable machine-learning models on tabular data remains time-consuming and resource-intensive. Tabular Foundation Models offer a new approach: pre-trained on large volumes of tabular data, they deliver strong predictive performance out of the box, with minimal fine-tuning. In this demo, Aaron will showcase how to use Seldon — Neuralk's enterprise-grade Tabular Foundation Model — with financial data to accelerate decision-making, all within a Databricks environment.
Reading Microstructure with Temporal Fusion Transformers
Iordanis Kerenidis (Co-Founder & CTO, Quantum Signals) on Temporal Fusion Transformers for equity-index futures microstructure: letting the model learn the judgment calls every intraday strategy makes by hand — what regime are we in, is the day trending or mean-reverting, which features matter right now, how far back should we look. Live results on ES, NQ, RTY, and YM.
Networking Break
CBOR and Semantics — a recipe for AI-ready client insights
Exploring the components of a Client Book of Record (CBOR) and how semantics make it AI-ready. Dr. Till Blesik (Director DACH / Enterprise Architect, Aiviq Intelligence) and Gregory Viet (Head of Client Operations, HSBC) will first discuss fundamentals and how HSBC is pulling off a market-leading CBOR implementation, before covering industry trends in the field of Client Intelligence.
AISOT Technologies
Stefan Klauser (Co-Founder & CEO, Aisot Technologies — Zurich) live demo of the AISOT platform: AI-driven quantitative tools built for asset managers, with a focus on how the workflow looks when ML inference sits inside the portfolio-construction loop rather than next to it.
Zanista AI
10-minute live demo of NewsWitch. Zanista processes close to a million financial news articles a day and turns that flow into structured, machine-readable signals — a computational layer over the news that sits inside a portfolio workflow. The takeaway is how news is being repriced from narrative content into intelligence infrastructure, and what that looks like in practice. Used one way it enhances alpha, used another it tightens risk monitoring. Same feed, depends on the desk.
Wealth Management x AI
What AI actually changes in the wealth-management operating model — what's shipped, what's still demo-stage, what's worth the regulatory friction. Six vantage points across systematic asset management, multi-generational private wealth, ETF / capital markets, wealth-tech AI, and our host platform. Moderated by Friedhelm A. Schmitt (CEO, Fincite).
Networking Break
LinkUp
Most AI agents are flying blind. They hallucinate, rely on stale training data, or scrape the web with brittle wrappers. Linkup gives agents real-time, structured web access built for production, not prototypes.
Virgo: A Purpose-Built Language Model for Autonomous AI Agents
AI Agents in Finance
Where AI agents are actually in production inside banks and funds today, and where they're still proof-of-concept. Four operator perspectives — sell-side quant from Deutsche Bank and BNP Paribas, private-banking AI from Berenberg, and the founder building the agent infrastructure those teams are starting to test. Moderated by Hanane Dupouy, creator of the 'AI Agents in Finance' course.
Closing Remarks
Networking & Drinks
Event Speakers
Meet the experts who will be sharing their knowledge and insights at this event:
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