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About the conference

The Budapest ML Forum is an international conference on data science, machine learning and AI. It will take place on June 5-8 in a hybrid format at the venue of Danubius Hotel Helia.

ML+Data together

This year the event will be co-hosted with the Budapest Data Forum offering 4 days of great data science and data engineering tutorials, tech talks, case studies and roundtables.

Explore Budapest

The Budapest ML Forum will be held in the charming capital of Hungary. Discover more of the sights and opportunities what Budapest offers.

Key topics

The conference covers current data science and AI trends and applications. The program is managed by the Program Committee.

Computer
Vision

AI
Infrastructure

Natural Language
Processing (NLP)

Business
& AI

Generative
AI

MLOPS
practices

Data Science
tools

ML
Case Studies

The Budapest ML Forum is a bilingual conference with English and Hungarian talks.
The first day of the conference will be in-person in Budapest (streaming available),
the second day will be online only with 100% remote talks.

Read more about the topics of data engineering on the Budapest Data Forum page.

Speakers

In-person day (Tuesday, June 6th)

JULIEN SIMON

 

JULIEN SIMON

Chief Evangelist
Hugging Face (FR)

Demystifying the technology behind Generative AI
ML GENERATIVE AI
Árpád Takács, PH.D.

 

Árpád Takács, PH.D.

Sensor Fusion Group Leader, Continental Autonomous Mobility Hungary (HU)

The evolution of AI-based algorithms in automated driving SW components
CASE STUDY COMPUTER VISION
Szabolcs Komjáthy

 

Szabolcs Komjáthy

VP of Engineering
Turbine.AI (HU)

Cancer research with AI methods
case study data science mlops
Botond Egri

 

Botond Egri

VP of AI and Data Science
Corsearch (HU)

Driving Logo Search with User Interactions: A Deep Learning Approach
AI INFRASTRUCTURE COMPUTER VISION
Szilvia Hodvogner

 

Szilvia Hodvogner

Data Scientist
HCL Technologies Starschema (HU)

Perspectives on LLMs
AI & Business NLP
Sergei Bulaev

 

Sergei Bulaev

Senior Data Scientist
EPAM Systems (HU)

Recommender systems in the fashion industry
DATA SCIENCE RECSYS
Márton Hárs

 

Márton Hárs

Group Data Analytics Lead for Retail and
Consumer Services, MOL Group (HU)

BI-tól az MLOps-ig: adatvagyon kiaknázás a MOL kiskereskedelmi területén
CASE STUDY RETAIL
Gábor Gulyás, PH.D.

 

Gábor Gulyás, PH.D.

Owner, Project Manager
Vitarex Studio (HU)

What’s in a face (imprint)?
EXPLAINABLE AI
Csaba Burger, DPhil

 

Csaba Burger, DPhil

Data Science Advisor
MNB (HU)

Error spotting with gradient boosting
AI & Business Case Study

More speakers will be announced soon.
The conference also feature a Hungarian-speaking track. The list of Hungarian speakers are available here.

Online Day (Thursday, June 8th)

Arató Bence

 

Arató Bence

Managing Director
BI Consulting (HU)

Developers + AI = Profit?
keynote
Nathan Nowack

 

Nathan Nowack

Software Engineer
Prefect (US)

Building Marvin - a high-level LLM toolbox
data science LLM
DAVID ZIBRICZKY, PH.D.

 

DAVID ZIBRICZKY, PH.D.

Director Data Science
DB Schenker (DE)

Real-time applications of Computer Vision in Logistics
data science computer vision case study
Gergely Daróczi

 

Gergely Daróczi

Co-founder, CTO
Rx Studio (HU)

Personalizing drug doses in the cloud using R
Data Science Case Study R
Tamás Molnár

 

Tamás Molnár

Lead Data Scientist
BT Telecommunications (HU)

Exploiting small and big data for machine learning based incident prevention
Data Science Case Study Telecoms
Máté Tóth

 

Máté Tóth

Lead Data Scientist, VP
BlackRock (HU)

Befektetési alapok kategorizálása NLP eszközökkel
data science NLP Case study
Kristóf Rábay

 

Kristóf Rábay

Senior Data Scientist
Hiflylabs (HU)

AI lehetőségek a szerződéskezelésben
data science NLP case study
Zoltán Balogh

 

Zoltán Balogh

Data Scientist
Hearsay System (HU)

Egy pénzügyi szektor specifikus ajánlórendszer fejlesztésének kihívásai
data science recommenders
Radovan Baćović

 

Radovan Baćović

Staff Data Engineer
GitLab (SR)

The dbt journey @ Gitlab
case study data engineering dbt
Eva Schreyer

 

Eva Schreyer

Lead Data Analyst
WhereIsMyTransport (DE)

How to make your dbt implementation successful
data engineering dbt case study
Pere Miquel Brull

 

Pere Miquel Brull

Founding Engineer
Collate (ES)

What Makes OpenMetadata Different
data engineering metadata
Kevin Kho

 

Kevin Kho

Maintainer
Fugue (US)

How to incrementally scale existing workflows on Spark, Dask or Ray?
data science data engineering tech
Timothy Spann

 

Timothy Spann

Principal Developer Advocate
Cloudera (US)

Building Modern Data Streaming Apps with NiFi, Flink and Kafka
data engineering streaming
Stefan Krawczyk

 

Stefan Krawczyk

Co-creator of Hamilton
Co-founder, DAGWorks (US)

Feature engineering in Python with Hamilton
data science data engineering tech
Ryan Boyd

 

Ryan Boyd

Co-founder
MotherDuck (US)

DuckDB: My laptop is faster than your Data Warehouse
DATA SCIENCE
Dániel Vincz

 

Dániel Vincz

CEO
Mollia (HU)

Kinematic training of robots through video games
DATA SCIENCE

The online day of the Budapest ML Forum and the Budapest Data Forum are held on the same day so the program includes data science and data engineering presentations as well.

Agenda overview

 --->> The detailed agenda is available here <<---
Monday (June 5) · Tuesday (June 6) · Wednesday (June 7) · Thurday (June 8)

Monday (June 5)

Data+ML
Tutorial day

only in-person

9:00-12:00

Half-day
workshops

13:00-16:00

Half-day
workshops

17:00-20:00
Data Job Fair
(in Hungarian)
Details

Tuesday (June 6)

Budapest ML Forum
conference day

in-person + streaming

9:00-10:10
Plenary

10:40-12:00
Parallel talks

13:30-16:40
Parallel talks

16:40-18:00
Welcome reception

Wednesday (June 7)

Budapest Data Forum
conference day

in-person + streaming

9:00-10:10
Plenary

10:40-12:00
Parallel talks

13:30-16:40
Parallel talks

16:40-18:00
Welcome reception

Thursday (June 8)

Data+ML 
online conference day

only streaming

9:30-10:10
Plenary

10:30-12:30
Parallel talks

14:20-17:00
Parallel talks

18:00-20:00
Data & Drinks Party
in-person at Jégkert

 --->> The detailed agenda is available here <<---
Monday (June 5) · Tuesday (June 6) · Wednesday (June 7) · Thurday (June 8)

Tickets

Participation in the Tutorial day

The list of tutorials is available here (in Hungarian).

Ticket type First Minute prices
until March 31		 Early Bird prices
until April 30		 Standard prices
Tutorial day
with data science & data engineering tutorials
June 5 (Monday), in-person
 160.0 EUR 160.0 EUR 200.0 EUR
Tickets for the Tutorial day can be purchased on their own and can also be combined with tickets for the conference.

Participation in the conference

Ticket type First Minute prices
until March 31		 Early Bird prices
until April 30		 Standard prices
2-day hybrid conference ticket 
June 6: in-person, June 8: online
 227.5 EUR 260.0 EUR 325.0 EUR
2-day online only conference ticket
June 6 and 8: online
 175.0 EUR 200.0 EUR 250.0 EUR
Data+ML 3-day hybrid conference ticket
June 6-7: in-person, June 8: online
 350.0 EUR 400.0 EUR 500.0 EUR
Data+ML 3-day online only conference ticket
June 6-7-8: online
 262.5 EUR 300.0 EUR 375.0 EUR
Tickets for the event are available for 2 or 3 conferences days, with the option to attend in-person or online.
Prices are per person and do not include 27% VAT.

More information and the application form are available on our registration page.

Sponsors

Platinum Sponsor

Gold Sponsor

Silver Sponsors

Sponsorship and exhibitor enquiries: office@budapestml.hu.

Media partners

Adatépítész podcast
Spotify • Apple