DATA IN FINANCE - FRANKFURT
Data Engineering & Analytics in Finance
Overview
Data is the backbone of modern finance. Join us for an in-depth look at the latest trends and technologies shaping the future of data in finance.
23 October 2025 at 6:20 PM GMT+2
IBM Office Frankfurt, Frankfurt
Event Details
Explore practical data applications in finance and gain unique insights via expert talks, a panel, and dedicated networking. Connect with senior and tech-savvy peers:
Focus
Data Engineering & Analytics in Finance
When
23 October 2025
Where
IBM Office Frankfurt
Audience
60-100 Data Engineers/Analysts/Finance Professionals
Event Schedule
A carefully curated program designed to maximize learning, networking, and practical insights
Welcome & Registration
Network with early arrivals
Opening Keynote
The Future of Data in Finance
Fayssal El Mofatiche
@ Flowistic
Dilek Sezgün
@ IBM Empowering Financial Services with Cutting-Edge Technology
A huge challenge on the way to use meaningful and trusted AI-based solutions is the connection of a developed AI solution to real world enterprise data. Studies foresee that more than 60% of planned AI solutions will fail, when trying to access productive and complex enterprise data systems rather than test data used for development. The presentation shows a first overview of what is needed to prepare and transform existing data to make them the best basis for relevant AI-based solutions and how IBM's Data Fabric components can help to get this achieved.
Michael Sigmund
@ IBM Blitz Demo: BCCGI
William Bierds
@ BCCGI
Mauricio Gonzalez Evans
@ BCCGI Break
Quick Break
From PoC to Production: Technical Foundations of Deutsche Börse's Data Marketplace
We showcase DBG’s Data Marketplace - one of our latest developments. We’ll walk through the journey from PoC to production, highlighting key challenges and technical concepts along the way. A focus will be on cross-cloud data distribution and how we aim to make this work at scale for our clients.
Luisa Kruse
@ Deutsche Börse
Guillaume Bour
@ Deutsche Börse Bavest: AI-native data and analytics infrastructure for fintechs, banks, and asset managers
Ramtin will present Bavest’s infrastructure and API, showcasing real client use cases and live coding demonstrations. He will also explain how Bavest leverages proprietary AI models to build an AI-native data and analytics layer empowering fintechs, banks, and asset managers worldwide.
Ramtin Babaei
@ Bavest Break
Drinks and Networking
Fast, Smart & Cost-Efficient: Redis for AI-Powered Finance
In this short live demo, the team will show how Redis helps organizations run AI bots and AI agents faster and more cost-efficiently — boosting performance and scalability for AI-driven financial applications.
Manni Vattapally
@ Redis Labs Empowering the Data Streaming Engineer: Meet Confluent for VS Code
In this hands-on demo, we will take a closer look at how data engineers and software developers can use Confluent‘s open-source VS Code extension to interact with data streaming technologies, like Kafka, Schema Registry, or Flink, from within their IDE and expedite the development of real-time data products.
Stefan Sprenger
@ Confluent Live FX Order Book Analytics in SQL with QuestDB Arrays and Parquet
In this demo, Javier ingests FX order book data into QuestDB, runs interactive SQL over full depth with array columns, and displays real time results on a live dashboard. Queries span the multi tier storage setup, with hot data in QuestDB native columnar format and historical data on QuestDB managed Parquet partitions.
Javier Ramirez
@ QuestDB Closing Remarks & Next Steps
Wrap-up and future event announcements
Fayssal El Mofatiche
@ Flowistic Food, Drinks & Networking
Continue discussions in a relaxed setting
Event Ends
Thank you for joining us!
Welcome & Registration
Network with early arrivals
Opening Keynote
The Future of Data in Finance
Empowering Financial Services with Cutting-Edge Technology
A huge challenge on the way to use meaningful and trusted AI-based solutions is the connection of a developed AI solution to real world enterprise data. Studies foresee that more than 60% of planned AI solutions will fail, when trying to access productive and complex enterprise data systems rather than test data used for development. The presentation shows a first overview of what is needed to prepare and transform existing data to make them the best basis for relevant AI-based solutions and how IBM's Data Fabric components can help to get this achieved.
Blitz Demo: BCCGI
Break
Quick Break
From PoC to Production: Technical Foundations of Deutsche Börse's Data Marketplace
We showcase DBG’s Data Marketplace - one of our latest developments. We’ll walk through the journey from PoC to production, highlighting key challenges and technical concepts along the way. A focus will be on cross-cloud data distribution and how we aim to make this work at scale for our clients.
Bavest: AI-native data and analytics infrastructure for fintechs, banks, and asset managers
Ramtin will present Bavest’s infrastructure and API, showcasing real client use cases and live coding demonstrations. He will also explain how Bavest leverages proprietary AI models to build an AI-native data and analytics layer empowering fintechs, banks, and asset managers worldwide.
Break
Drinks and Networking
Fast, Smart & Cost-Efficient: Redis for AI-Powered Finance
In this short live demo, the team will show how Redis helps organizations run AI bots and AI agents faster and more cost-efficiently — boosting performance and scalability for AI-driven financial applications.
Empowering the Data Streaming Engineer: Meet Confluent for VS Code
In this hands-on demo, we will take a closer look at how data engineers and software developers can use Confluent‘s open-source VS Code extension to interact with data streaming technologies, like Kafka, Schema Registry, or Flink, from within their IDE and expedite the development of real-time data products.
Live FX Order Book Analytics in SQL with QuestDB Arrays and Parquet
In this demo, Javier ingests FX order book data into QuestDB, runs interactive SQL over full depth with array columns, and displays real time results on a live dashboard. Queries span the multi tier storage setup, with hot data in QuestDB native columnar format and historical data on QuestDB managed Parquet partitions.
Closing Remarks & Next Steps
Wrap-up and future event announcements
Food, Drinks & Networking
Continue discussions in a relaxed setting
Event Ends
Thank you for joining us!
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