About the Data+AI Forum

The Budapest Data+AI Forum is Hungary’s leading and longest-running independent conference on Data Management, Machine Learning and AI,  building on more than a decade of history as the former Budapest Data and ML Forum.
The website of the 2025 edition is available here.

Our Speakers

This is a highlight selection of our Data speakers, for a full list visit this site.

Miky Schreiber

Miky Schreiber

Next Insurance (IL)
Automating Data Quality with AI agents
Data Technology data quality
Guillermo Sanchez Dionis

Guillermo Sanchez Dionis

DuckDB Labs (NL)
DuckDB: From Single-Player to Multi-Player
Data Technology data engineering
Radovan Bacovic

Radovan Bacovic

GitLab (RS)
Implementing AI-powered semantic search
Data Technology case study
Jochen Christ

Jochen Christ

Entropy Data (DE)
Data Contracts: From standards to automation
Data Innovation data governance
Evgeniya Alekseeva

Evgeniya Alekseeva

Daikin Europe (BE)
How We Built a Data Community
Data Innovation data governance
Ferenc Győr

Ferenc Győr

DAI Group (CH)
Building an AI-driven agile financing platform for SMEs
Data Innovation case study

All of our Data speaker can be viewed here, while all of our AI & ML speakers can be viewed here. To see the Speaker Gallery click here.

Schedule Overview

The first conference day will primarily focus on Data Engineering topics, while the second day will center on Machine Learning, AI, and Data Science. The final day, held online, will feature tracks for both Data Engineering and AI.

The detailed schedule is now available:
Monday Schedule · Tuesday Schedule · Wednesday Schedule

Monday (May 18)
Data Day (in-person)

8:00-9:00 Registration

Data Trends Keynote

10:00-10:30 Coffee Break

Enterprise

Technology

Innovation

talk

talk

talk

talk

talk

talk

12:00-13:30 Lunch Break

Enterprise

Technology

Innovation

talk

talk

talk

talk

talk

talk

15:00-15:30 Coffee Break

talk

talk

talk

16:15-18:00 Cocktail Reception

Tuesday (May 19)
AI & ML Day (in-person)

8:00-9:00 Registration

AI Trends Keynote

10:00-10:30 Coffee Break

Enterprise

Technology

Innovation

talk

talk

talk

talk

talk

talk

12:00-13:30 Lunch Break

Enterprise

Technology

Innovation

talk

talk

talk

talk

talk

talk

15:00-15:30 Coffee Break

talk

talk

talk

16:15-18:00 Cocktail Reception

Wednesday (May 20)
Data+AI Day (online-only)

Welcome Notes

10:00-10:30 Coffee Break

Data

AI

Innovation

talk

talk

talk

talk

talk

talk

12:45-14:00 Lunch Break

Data

AI

Innovation

talk

talk

talk

talk

talk

talk

15:50-16:10 Coffee Break

talk

talk

talk

AI Closing Session

The in-person talks can also be attended remotely by purchasing an Online visitor ticket.

Venue

The 4-star Danubius Hotel Helia will be the location of the in-person events where the data community can meet and exchange ideas.

The naturally-lit and air-conditioned event halls, along with the latest in modern technical equipment, offer excellent opportunities to host high-quality professional events, conferences, and exhibitions.

Tickets

Standard prices are currently available until the end of April, with discounts offered for group registrations. In May before the conference, the more expensive Late Bird prices will apply.

Find out more about the ticket types and prices on our Registration page.

All-Inclusive Tickets

Hybrid

Standard:
840.00 EUR
Late Bird from May:
1050.00 EUR

Online

Standard:
500.00 EUR
Late Bird from May:
625.00 EUR

2-Day Data Tickets

Hybrid

Standard:
520.00 EUR
Late Bird from May:
650.00 EUR

Online

Standard:
340.00 EUR
Late Bird from May:
425.00 EUR

2-Day AI&ML Tickets

Hybrid

Standard:
520.00 EUR
Late Bird from May:
650.00 EUR

Online

Standard:
340.00 EUR
Late Bird from May:
425.00 EUR

Highlights From Our Conference

Our Sponsors

Platinum

Gold

Silver

Our Exhibitors

More exhibitors coming soon.

Exhibitor applications are still open.
Join Hungary's best-known and longest-running enterprise data conference as an exhibitor and connect with 300+ participants from 80+ companies! If you are interested please contact us at sponsors@budapestdata.hu

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