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The Budapest ML Forum in Hungary will return in June 5-8, 2023.
The conference will be organized in a hybrid format, co-hosted with the Budapest Data Forum. The Tutorial day (June 5), and the conference day (June 6) is planned to be attended in-person, while the last day (June 8) will be held online.
More details on the website.

About the conference

The Budapest ML Forum is a two-day international conference in hybrid format on data science, machine learning and AI.

The conference is organized in partnership with the Continental Artificial Intelligence Development Center Budapest.

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

Computer Vision

Data Science tools

NLP

Business & AI

AI Infrastructure

ML Case Studies

The program is guided by the Program Advisory Board and managed by the Program Committee

Agenda

The detailed agenda with talk time slots are available here.

TUESDAY (May 3)
In-person at the Hotel Helia Budapest and streaming

9:00 -10:15Plenary
10:15-10:45Coffee break
10:45-11:50ML case studies and tech presentations in Hungarian
10:45-11:50Intro to Data Science and ML
(in Hungarian)
10:45-11:50ML case studies and tech presentations in English
12:00-13:30Lunch break
13:30-15:10Hungarian track continued
13:30-15:10Hungarian track continued
13:30-15:10English track continued
15:10-15:40Coffee break
15:40-16:45Hungarian track continued
15:40-16:45Hungarian track continued
15:40-16:45English track continued
16:45-17:45Welcome reception
18:00- 20:00 Budapest ML Open Night and Data Career Forum
(in Hungarian )

WEDNESDAY (May 4)
Streaming only

9:00-9:45Plenary
10:00-10:30Coffee break
10:30-12:10ML Case studies and tech presentations in Hungarian
10:30-12:10ML Case studies and tech presentations in English
10:30-11:00ML Technologies Overview
12:10-13:30Lunch break
13:30-15:10Hungarian track continued
13:30-15:10English track continued


15:10-15:40Coffee break
15:40-16:40Closing plenary

Speakers

English Speakers on Day 1

Rachel Berryman

 

Rachel Berryman

Deputy Head of AI Center of Excellence, 50Hertz Transmission

Building up an AI Center of Excellence in an Energy Utility
Kabai Robert-Zsolt

 

Kabai Robert-Zsolt

Deep Learning for Point Cloud Team Lead Continental

AI-based multi-sensor fusion for solving challenging driving scenarios
Barra István

 

Barra István

Principal Data Scientist II, Machine Learning Guild Leader, Cambridge Mobile Telematics

Making roads safer through Machine Learning
Tóth Balázs

 

Tóth Balázs

Senior Data Scientist, IKEA

Explore-Exploit algorithms used at IKEA recommendations
Julien Simon

 

Julien Simon

Chief Evangelist, Hugging Face

Building NLP applications with Transformers

Balogh Zoltán

 

Balogh Zoltán

Senior Data Scientist, Barion Payment Inc.

How we use NLP at Barion
Kádár Ákos

 

Kádár Ákos

ML Engineer, spaCy Core Developer, Explosion.AI

SpanCat: Named Entity Recognition in spaCy and beyond
Tilk Bence

 

Tilk Bence

Artificial Intelligence Engineer, Graphcore

Do you have a few minutes for an ImageNet training?

English Speakers on Day 2

Ian Ozsvald

 

Ian Ozsvald

Principal Data Scientist, Mor Consulting

Building Successful Data Science Projects
Alejandro Herrera

 

Alejandro Herrera

Solution Architect, Ponder

Effortlessly scale your pandas workflows with Modin
Jay Wang

 

Jay Wang

Graduate Student Researcher, Georgia Institute of Technology

StickyLand: Breaking the Linear Presentation of Computational Notebooks
Bill Franks

 

Bill Franks

Director of the Center for Statistics and Analytical Research,
Kennesaw State University

Winning The Room: Creating And Delivering An Effective Data-Driven Presentation
Sinkó Máté

 

Sinkó Máté

Director, Prospect AI - Betting Analytics

Machine Learning applications in the Online Gambling Industry
Török Ágoston

 

Török Ágoston

Data Scientist and ML advisor, Neural Machines

Deep learning antipatterns
Pafka Szilárd, PhD

 

Pafka Szilárd, PhD

Chief Scientist, Epoch (USA)

Best Algorithm for Tabular/Business Data: Sorry, it's not deep learning
Borbély Gábor

 

Borbély Gábor

Data Scientist, Lensa

Building a job title predictor

Hungarian Speakers

Arató Bence

 

Arató Bence

Managing Director, BI Consulting

ML és AI trendek 2022-ben
Tőzsér Attila

 

Tőzsér Attila

Big Data and Data Science Consultant

MLOps módszerek bevezetési tapasztalatai
Ónozó Lívia

 

Ónozó Lívia

Head of Digitalization Technology Department, Central Bank of Hungary

Magyar híroldalak gazdasági szövegeinek szentiment elemzése mélytanuló hálózat segítségével
Feldmann Ádám Ph.D

 

Feldmann Ádám Ph.D

Senior Lecturer, University of Pécs

HILANCO-GPTX, egy hétmilliárd paraméteres GPT-3 modell
Utassy Dávid

 

Utassy Dávid

Data Scientist, Machine Learning Guild Leader, SEON Technologies

Magyarázható mesterséges intelligencia a csalás megelőzésben
Hárs Márton

 

Hárs Márton

Group Data Analytics Lead for Retail and Consumer Services, MOL Group

Mesterséges intelligencia a benzinkutakon
Kovács Lóránt

 

Kovács Lóránt

Központ vezető, Magyar Telekom

Telekom Vanda: Voice és Chat alapú Virtuális Asszisztens a gyakorlatban
Várhelyi-Tóth Gergely

 

Várhelyi-Tóth Gergely

CTO & Co-Founder, roboGaze

Fáradtság és figyelem meghatározása gépi látással
Kovács Gyula

 

Kovács Gyula

Data Science coach

Machine Learning Kedvcsináló Kezdőknek
Orbán Gergő

 

Orbán Gergő

Group Leader, Wigner Research Centre for Physics

A biológiai látás által inspirált mesterséges látás
Schin Lotar

 

Schin Lotar

Senior Technical Domain Lead, OTP Bank

AI infrastruktúra az OTP Bankban:
jelen, múlt, jövő
Fodor Szabolcs

 

Fodor Szabolcs

Lead Data Scientist, United Consult

Modern Data Science platform kiválasztása az OTP-nél
Kelemen Kristóf

 

Kelemen Kristóf

Biostatistician, Richter Gedeon

Gyógyszerfejlesztés ML technológiával: 3D képfeldolgozás
Zempléni Balázs

 

Zempléni Balázs

Data Scientist, Starschema

Idősoros anomáliák szöveges összefoglalása
Ridzi Péter

 

Ridzi Péter

Head of Data Platform, Continental

Mit reggelizik a neurális háló? – Adatmenedzsment és MI
Kiss Zoltán

 

Kiss Zoltán

HPC fejlesztési vezető, KIFÜ

Közeledik a Komondor, Magyarország szuperszámítógépe
Kovács Gábor

 

Kovács Gábor

Researcher / Engineer, Turbine.AI

AlphaFold 2 – fehérjék 3D struktúrájának predikciója
Arató Bence

 

Arató Bence

Managing Director, BI Consulting

Data Science technológiák kezdőknek

Tickets and registration

The registration form is now live!

The first day of the conference is held in-person in Budapest (all talks will be streamed online),
the second day of the conference will be exclusively online.

For registering Hungarian-speaking attendees please see our Hungarian page

 

Day First Minute
until March 20 		Early Bird
until April 10 		Standard
Hybrid ticket
(Day 1 in-person, Day 2 online)		 203 EUR 230 EUR 290 EUR
Online only ticket
(Online access for both days)		 154 EUR 180 EUR 220 EUR
Prices are per person and do not include 27% VAT. See our Registration page for more details.

Our sponsors

Diamond Sponsor

Gold Sponsors

Silver Sponsor

For sponsorship inquiries please reach out to us at office@budapestml.hu

Academic Partners


Corvinus University of Budapest
Institute of Information Technology

BME
Faculty of Electrical Engineering and Informatics
Department of Telecommunications and Media Informatics

ELTE
Faculty of Social Sciences
Department of Statistics

University of Pécs
Applied Data Science and Artificial Intelligence Group

Media Partners


Adatépítész podcast
Spotify • Apple

Magyarországi Vezető Informatikusok Szövetsége (VISZ)
Homepage

dmlab blog
Homepage

Láncreakció podcast
Spotify • Apple

Adat.blog
Homepage