AI & Market Data
AI & Market Data
Overview
An exclusive, invitation-only thought leadership event focused on the practical application of AI in financial services, with a particular emphasis on AI and market data. Deliberately non-commercial and designed to enable open, peer-level exchange between senior practitioners.
Location
FactSet France SAS
32, rue Blanche 2nd floor 75009 Paris, France
Event Details
The agenda combines short technology demonstrations, client-led presentations on AI in production, and a panel discussion on AI & Market Data: challenges, opportunities, and lessons learned — bringing together senior representatives from financial institutions, data providers, and fintechs.
Focus
AI & Market Data
Audience
Senior practitioners from financial institutions, data providers, and fintechs
Event Schedule
A carefully curated program designed to maximize learning, networking, and practical insights
Arrival & Market Data Networking
Connect with market data engineers, AI specialists, and capital markets professionals. Network with Paris's fintech innovators.
Welcome & Intro
AI and Alternative Data: Expanding the Information Edge for Momentum Investing
In this talk, I will discuss the opportunities of integrating alternative data into passive, rule-based quantitative portfolio strategies. Focusing on momentum strategies, I will illustrate how alternative data can improve signal quality and portfolio performance. I will close with a discussion of current limitations and challenges, and how AI may help overcome some of them through the generation of richer, more informative data.
FactSet MCP and Content Tools
In this session Mark will demo the FactSet MCP server in action using a Claude enterprise model and tools. The FactSet MCP server provides tools to access core FactSet content services such as fundamentals, estimates, company, people and pricing. More info is here https://developer.factset.com/mcp
Networking Break
Connect with fellow attendees, speakers, and sponsors. Light refreshments provided.
What It Takes to Deliver on Agentic AI for Investment Research at Deutsche Bank
In this talk, Wai will explore how banks are rethinking the use of AI beyond traditional quantitative models, focusing on a shift toward agentic and intelligence‑driven architectures. The session explains the importance of preparing the technical infrastructure for RAG development, which will ultimately speed up the research processes, improve governance, and reduce operational risk. Rather than simply adding AI tools, the talk highlights how banks are building structured “AI cookbooks,” centralized knowledge bases, and evaluation frameworks that allow humans and AI agents to collaborate at scale—evolving into faster, more adaptive, and more creative research, often described as “vibe research,” that is set to redefine innovation in financial institutions.
AI-Powered Investment Research in 30 Seconds
Join Laurent for a live demo of how Databricks combines FactSet data, SEC filings, and your position book in a governed, conversational intelligence platform to generate AI-powered research reports in 30 seconds.
Networking Break
Connect with fellow attendees, speakers, and sponsors. Light refreshments provided.
Trusted Data for AI-- Building Reliable Pipelines with dbt
AI systems are only as reliable as the data pipelines feeding them. This session explores how dbt addresses the core challenges of data trust: testing, versioning, semantic context, and auditability. We'll walk through these capabilities practically, including a live demo of the dbt MCP Server.
Time Series Databases in the Age of Coding Agents
AI coding agents are changing how developers build and deploy data infrastructure, and fast. In this session, we'll explore what that means for time series workloads in financial markets. Live on stage, we'll use Claude to deploy a full QuestDB integration in under two minutes: connecting to a live market data feed, ingesting into QuestDB, and spinning up a Grafana dashboard, all from a prompt. We'll then dive into the key concepts behind high-performance time series storage and walk through queries on live data, showing what becomes possible when your database is as fast to deploy as it is to query.
The Future of Market Data Infrastructure
Industry experts debate the evolution of market data ecosystems. Topics include cloud-native architectures, AI-driven insights, next-generation data distribution models, and the democratization of market data access.
Closing Words & Networking
Extended networking with the Paris fintech community, market data professionals, and AI innovators
End of Event
Thank you for joining us at Market Data X AI Paris. Safe travels home and we look forward to seeing you at future events!
Arrival & Market Data Networking
Connect with market data engineers, AI specialists, and capital markets professionals. Network with Paris's fintech innovators.
Welcome & Intro
AI and Alternative Data: Expanding the Information Edge for Momentum Investing
In this talk, I will discuss the opportunities of integrating alternative data into passive, rule-based quantitative portfolio strategies. Focusing on momentum strategies, I will illustrate how alternative data can improve signal quality and portfolio performance. I will close with a discussion of current limitations and challenges, and how AI may help overcome some of them through the generation of richer, more informative data.
FactSet MCP and Content Tools
In this session Mark will demo the FactSet MCP server in action using a Claude enterprise model and tools. The FactSet MCP server provides tools to access core FactSet content services such as fundamentals, estimates, company, people and pricing. More info is here https://developer.factset.com/mcp
Networking Break
Connect with fellow attendees, speakers, and sponsors. Light refreshments provided.
What It Takes to Deliver on Agentic AI for Investment Research at Deutsche Bank
In this talk, Wai will explore how banks are rethinking the use of AI beyond traditional quantitative models, focusing on a shift toward agentic and intelligence‑driven architectures. The session explains the importance of preparing the technical infrastructure for RAG development, which will ultimately speed up the research processes, improve governance, and reduce operational risk. Rather than simply adding AI tools, the talk highlights how banks are building structured “AI cookbooks,” centralized knowledge bases, and evaluation frameworks that allow humans and AI agents to collaborate at scale—evolving into faster, more adaptive, and more creative research, often described as “vibe research,” that is set to redefine innovation in financial institutions.
AI-Powered Investment Research in 30 Seconds
Join Laurent for a live demo of how Databricks combines FactSet data, SEC filings, and your position book in a governed, conversational intelligence platform to generate AI-powered research reports in 30 seconds.
Networking Break
Connect with fellow attendees, speakers, and sponsors. Light refreshments provided.
Trusted Data for AI-- Building Reliable Pipelines with dbt
AI systems are only as reliable as the data pipelines feeding them. This session explores how dbt addresses the core challenges of data trust: testing, versioning, semantic context, and auditability. We'll walk through these capabilities practically, including a live demo of the dbt MCP Server.
Time Series Databases in the Age of Coding Agents
AI coding agents are changing how developers build and deploy data infrastructure, and fast. In this session, we'll explore what that means for time series workloads in financial markets. Live on stage, we'll use Claude to deploy a full QuestDB integration in under two minutes: connecting to a live market data feed, ingesting into QuestDB, and spinning up a Grafana dashboard, all from a prompt. We'll then dive into the key concepts behind high-performance time series storage and walk through queries on live data, showing what becomes possible when your database is as fast to deploy as it is to query.
The Future of Market Data Infrastructure
Industry experts debate the evolution of market data ecosystems. Topics include cloud-native architectures, AI-driven insights, next-generation data distribution models, and the democratization of market data access.
Closing Words & Networking
Extended networking with the Paris fintech community, market data professionals, and AI innovators
End of Event
Thank you for joining us at Market Data X AI Paris. Safe travels home and we look forward to seeing you at future events!
Event Speakers
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