Conferences / Budapest Data+AI Forum
Budapest Data Forum + Budapest ML Forum 2023
Jun 5–8, 2023 · Danubius Hotel Helia, Budapest, Hungary
- Conference
- Budapest Data+AI Forum Data science & ML
- Dates
- Jun 5, 2023 – Jun 8, 2023
- Venue
- Danubius Hotel Helia
- Place
- Budapest, Hungary
- Format
- Hybrid
- Status
- Past
- Attendance
- —
- Website
- budapestdata.hu
- Recorded
- 6 sponsors · 44 speaker appearances
- Notes
- The Budapest Data Forum and Budapest ML Forum were co-hosted: tutorial day June 5 (in person), ML Forum day June 6 and Data Forum day June 7 (in person + streaming), joint online day June 8. Speakers parsed from the archived detailed schedules (ML Tuesday, Data Wednesday, joint Thursday); tutorials not included. Sponsor list from pre-event pages and sponsor announcements, may be incomplete.
Ticket prices
| Ticket | Price | Valid until | Notes | Source |
|---|---|---|---|---|
| Tutorial day (June 5, in-person) (First Minute) | €160 | Mar 31, 2023 | excl. 27% VAT | web.archive.org |
| 2-day online-only conference ticket (First Minute) | €175 | Mar 31, 2023 | excl. 27% VAT | web.archive.org |
| 2-day hybrid conference ticket (one in-person day + online day) (First Minute) | €228 | Mar 31, 2023 | excl. 27% VAT | web.archive.org |
| Data+ML 3-day online-only conference ticket (First Minute) | €263 | Mar 31, 2023 | excl. 27% VAT | web.archive.org |
| Data+ML 3-day hybrid conference ticket (First Minute) | €350 | Mar 31, 2023 | excl. 27% VAT | web.archive.org |
| Tutorial day (June 5, in-person) (Early Bird) | €160 | Apr 30, 2023 | excl. 27% VAT | web.archive.org |
| 2-day online-only conference ticket (Early Bird) | €200 | Apr 30, 2023 | excl. 27% VAT | web.archive.org |
| 2-day hybrid conference ticket (one in-person day + online day) (Early Bird) | €260 | Apr 30, 2023 | excl. 27% VAT | web.archive.org |
| Data+ML 3-day online-only conference ticket (Early Bird) | €300 | Apr 30, 2023 | excl. 27% VAT | web.archive.org |
| Data+ML 3-day hybrid conference ticket (Early Bird) | €400 | Apr 30, 2023 | excl. 27% VAT | web.archive.org |
| Tutorial day (June 5, in-person) (Standard) | €200 | — | excl. 27% VAT | web.archive.org |
| 2-day online-only conference ticket (Standard) | €250 | — | excl. 27% VAT | web.archive.org |
| 2-day hybrid conference ticket (one in-person day + online day) (Standard) | €325 | — | excl. 27% VAT | web.archive.org |
| Data+ML 3-day online-only conference ticket (Standard) | €375 | — | excl. 27% VAT | web.archive.org |
| Data+ML 3-day hybrid conference ticket (Standard) | €500 | — | excl. 27% VAT | web.archive.org |
Sponsors 6
Speakers and talks 44
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| András Zimmer | Hiflylabs | Speaker | Data Access Control with dbt and BigQuery | — |
| Árpád Takács Ph.D. | Continental | Speaker | AI-based algorithms in automated driving SW components | — |
| Attila Berecz | Meta | Speaker | dbt and data model based design & development | — |
| Babos Gergely | OTP Bank | Speaker | Adatmenedzsment kihívások az OTP Banknál | — |
| Balogh Zoltán | Hearsay Systems | Speaker | Egy pénzügyi szektor specifikus ajánlórendszer fejlesztése | — |
| Bill Zhang | Cloudera | Speaker | Open Data Lakehouse and Apache Iceberg | — |
| Botond Egri | Corsearch | Speaker | Driving Logo Search with User Interactions | — |
| Csaba Burger | MNB | Speaker | Error spotting with gradient boosting | — |
| Csaba Elekes | Infinite Lambda | Speaker | DataOps Journey to an Enterprise Ready dbt Platform | — |
| Csite László | Raiffeisen Bank International | Speaker | Data lineage a Raiffeisen Banknál | — |
| David Zibriczky | DB Schenker | Speaker | Real-time applications of Computer Vision in Logistics | — |
| Eva Schreyer | WhereIsMyTransport | Speaker | How to make your dbt implementation successful | — |
| Gábor Gulyás Ph.D. | Vitarex Studio | Speaker | What’s in a face (imprint)? | — |
| Gábor Kovács | Turbine.AI | Speaker | Cancer research with AI methods | — |
| Gergely Daróczi | Rx Studio | Speaker | Personalizing drug doses in the cloud using R | — |
| Gergő Póta | Supercharge | Speaker | Data Platform Modernization at an US Insure-Tech Company | — |
| Gollnhofer Gábor | Meta | Speaker | Adatplatformok automatizációja | — |
| Hárs Márton | MOL Group | Speaker | BI-tól az MLOps-ig: adatvagyon kiaknázás a MOL -nál | — |
| Horváth-Varga János | Magyar Telekom | Speaker | GPT nyelvi modellek az ügyfélszolgálat automatizációjában | — |
| Imre Szücs | MOL Group | Speaker | Data + AI landscape @ MOL | — |
| Julien Simon | Hugging Face | Speaker | Demystifying the technology behind Generative AI | — |
| Kapronczay Mór | K&H Csoport | Speaker | AI asszisztens fejlesztés a K&H Banknál | — |
| Kevin Kho | Fugue | Speaker | How to incrementally scale existing workflows? | — |
| Mark Rittman | Rittman Analytics | Speaker | ChatGPT and the Future of Analytics Engineering | — |
| Márton Hubay | Infinite Lambda | Speaker | Moving towards Event-Driven Data Mesh | — |
| Márton Pinczel | Morgan Stanley | Speaker | Using AI in Data Quality | — |
| Meder Kamalov | Features and Labels | Speaker | Unleashing the Power of dbt and Python for Modern Data Stack | — |
| Nathan Nowack | Prefect | Speaker | Building Marvin, a high-level LLM toolbox | — |
| Pere Miquel Brull | Collate | Speaker | What Makes OpenMetadata Different | — |
| Rábay Kristóf | Hiflylabs | Speaker | AI lehetőségek a szerződéskezelésben | — |
| Radovan Baćović | GitLab | Speaker | The dbt journey @ Gitlab | — |
| Ryan Boyd | MotherDuck | Speaker | DuckDB: My laptop is faster than your Data Warehouse | — |
| Sándor Kazi | EPAM | Speaker | Machine learning productization in Azure | — |
| Schin Lotár | OTP Bank | Speaker | Transzformer alapú modellek a banki gyakorlatban | — |
| Stefan Krawczyk | DAGWorks Inc | Speaker | Feature engineering in Python with Hamilton | — |
| Szabolcs Komjáthy | Turbine.AI | Speaker | Cancer research with AI methods | — |
| Szécsi Péter | Magyar Posta | Speaker | Metaadat alapú adatintegrációs platform (HST) bevezetése | — |
| Szilvia Hodvogner | HCLT Starschema | Speaker | Perspectives on LLMs* | — |
| Tamás Molnár | BT Telecommunications | Speaker | Exploiting small and big data for ML based incident prevention | — |
| Tikk Domonkos | Gravity R&D | Speaker | A Gravity-sztori: az indulástól az eladásig | — |
| Timothy Spann | Cloudera | Speaker | Building Modern Data Streaming Apps with NiFi, Flink and Kafka | — |
| Tóth Máté | BlackRock | Speaker | Befektetési alapok kategorizálása NLP eszközökkel | — |
| Tóth Péter | Continental | Speaker | Önvezető autók funkcióinak adatminőségi kihívásai | — |
| Zoltán Illés | Hiflylabs | Speaker | A Phoenix Pharma adattárházának kialakítása | — |
Sources
- https://web.archive.org/web/20230601000000/https://budapestdata.hu/2023/en/
- https://web.archive.org/web/20230501000000/https://budapestml.hu/2023/en/
- https://web.archive.org/web/20230715000000/https://budapestdata.hu/2023/en/program/schedule-wednesday/
- https://web.archive.org/web/20230715000000/https://budapestml.hu/2023/en/program/schedule-tuesday/
- https://web.archive.org/web/20230715000000/https://budapestml.hu/2023/en/program/schedule-thursday/