Conferences / Budapest Data+AI Forum
Budapest Data+AI Forum 2026
May 18–20, 2026 · Danubius Hotel Helia, Budapest, Hungary
- Conference
- Budapest Data+AI Forum Data science & ML
- Dates
- May 18, 2026 – May 20, 2026
- Venue
- Danubius Hotel Helia
- Place
- Budapest, Hungary
- Format
- Hybrid
- Status
- Past
- Attendance
- —
- Website
- budapestdata.hu
- Recorded
- 11 sponsors · 63 speaker appearances
- Notes
- First edition under the Data+AI name. Two in-person days (Data day, AI & ML day; streamed) plus an online-only third day; includes a PyData track and Hungarian-language talks. Full session list from the event's Sessionize schedule; affiliations parsed from speaker taglines and the site's speaker pages. Prices from the registration page (current page lists these 2026 tiers).
Ticket prices
| Ticket | Price | Valid until | Notes | Source |
|---|---|---|---|---|
| 2-day DATA (or AI & ML) online (Early Bird) | €289 | Mar 31, 2026 | excl. 27% VAT | budapestdata.hu |
| All-Inclusive 3-day online (Early Bird) | €425 | Mar 31, 2026 | excl. 27% VAT | budapestdata.hu |
| 2-day DATA (or AI & ML) hybrid (Early Bird) | €442 | Mar 31, 2026 | excl. 27% VAT | budapestdata.hu |
| All-Inclusive 3-day hybrid (in-person Mon-Tue + online Wed) (Early Bird) | €714 | Mar 31, 2026 | excl. 27% VAT | budapestdata.hu |
| 2-day DATA (or AI & ML) online (Standard) | €340 | Apr 30, 2026 | excl. 27% VAT | budapestdata.hu |
| All-Inclusive 3-day online (Standard) | €500 | Apr 30, 2026 | excl. 27% VAT | budapestdata.hu |
| 2-day DATA (or AI & ML) hybrid (Standard) | €520 | Apr 30, 2026 | excl. 27% VAT | budapestdata.hu |
| All-Inclusive 3-day hybrid (in-person Mon-Tue + online Wed) (Standard) | €840 | Apr 30, 2026 | excl. 27% VAT | budapestdata.hu |
| 2-day DATA (or AI & ML) online (Late Bird) | €425 | — | excl. 27% VAT | budapestdata.hu |
| All-Inclusive 3-day online (Late Bird) | €625 | — | excl. 27% VAT | budapestdata.hu |
| 2-day DATA (or AI & ML) hybrid (Late Bird) | €650 | — | excl. 27% VAT | budapestdata.hu |
| All-Inclusive 3-day hybrid (in-person Mon-Tue + online Wed) (Late Bird) | €1,050 | — | excl. 27% VAT | budapestdata.hu |
Sponsors 11
Platinum 1
Other 1
- Magic Software · Exhibitor
Speakers and talks 63
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Ágoston Török | Straumann Group | Speaker | The Secret Sauce: Building a Great AI-Powered Medical Product | — |
| Alex Merced | — | Speaker | Architecting an Apache Iceberg Lakehouse: A Practical Guide to Zero-Disruption Migration | — |
| Ankur Gupta | Speaker | Why ML Deployments Fail in Production and How to Engineer Reliability at Scale | — | |
| Aris Tzoumas | RudderStack | Speaker | Hard-won lessons after processing 6.7T events through PostgreSQL queues | — |
| Balazs Lorand | AUMOVIO Autonomous Mobility | Speaker | AI kerekasztal | — |
| Balazs Lorand | AUMOVIO Autonomous Mobility | Speaker | Establishing and scaling AI development @ AUMOVIO | — |
| Balazs Sziladi | Magyar Telekom | Speaker | Enterprise AI a Magyar Telekomnál: A stratégiától a végrehajtásig | — |
| Bálint Kondé | SAP | Speaker | A SAP új iránya: Hogyan találja fel újra magát a tech óriás az AI évtizedében? | — |
| Bence Arato | BI Consulting | Speaker | Data trendek | — |
| Bence Arato | BI Consulting | Speaker | Welcome Notes | — |
| Bence Arato | BI Consulting | Speaker | Data trendek kerekasztal | — |
| Bence Arato | BI Consulting | Speaker | Intro to the afternoon talks and announcements | — |
| Bence Arato | BI Consulting | Speaker | Welcome Notes | — |
| Catalin Gheorghiu | EPAM | Speaker | My data is GOOD? | — |
| David Kjerrumgaard | StreamNative | Speaker | From Topics to Tables: Cataloging Streaming Data in the Iceberg Ecosystem | — |
| Dennis Nerush | Elementor | Speaker | 10x Engineering: Battle-Tested Lessons from Transforming Teams with GenAI | — |
| Dirk Lerner | TEDAMOH | Speaker | Data Engine Thinking: Future-proof data solutions | — |
| Dr. David Zibriczky | DSV | Speaker | From RAG Pipelines to Orchestrated Assistants: An Incremental Approach to Scaling Knowledge Systems | — |
| Dr. Moldir Pocstar | Pulze Digital | Speaker | Leading Teams with AI: Building Workflows for People, Products, and Decisions | — |
| Egor Tarasenko | Ponder | Speaker | AI-Powered Airflow Management: From Desktop Assistant to Embedded UI Plugin | — |
| Eszter Windhager | ONEKEY GmbH | Speaker | AI kerekasztal | — |
| Eszter Windhager | ONEKEY GmbH | Speaker | AI‑Powered Firmware Health‑Check | — |
| Eugene Fidelin | eBay | Speaker | Double-edged sword of AI agents | — |
| Evgeniya Alekseeva | Daikin Europe | Speaker | Data Governance Is a Team Sport: How We Built a Data Community | — |
| Ferenc Győr | DAI Group | Speaker | Building an AI-driven agile financing platform for SMEs | — |
| Gábor Ertelt | One Magyarország Zrt | Speaker | Rend a káoszban: adatvagyon konszolidáció egy folyamatosan változó cégstruktúrában | — |
| Gábor Gollnhofer | Meta | Speaker | Modell alapú Data Engineering az AI korszakban | — |
| Gergely Nagy | Morgan Stanley | Speaker | Scaling Margin Calculations at Morgan Stanley with AI-Assisted Modernization | — |
| Gergely Szücs | 4iG Nyrt | Speaker | Rend a káoszban: adatvagyon konszolidáció egy folyamatosan változó cégstruktúrában | — |
| Gergely Várhelyi-Tóth | roboGaze | Speaker | World-models and the twilight of LLMs | — |
| Guillermo Sanchez Dionis | DuckDB Labs | Speaker | DuckDB: From Single-Player to Multi-Player | — |
| János Faluvégi | SAP | Speaker | A SAP új iránya: Hogyan találja fel újra magát a tech óriás az AI évtizedében? | — |
| Jochen Christ | Entropy Data | Speaker | Data Contracts: From standards to automation | — |
| Kornelia Papp | Zurich Insurance | Speaker | From Clay to Fire: Building AI Products | — |
| Lotar Schin | Nokia | Speaker | AI kerekasztal | — |
| Luca Tamburrano | Qlik | Speaker | Charting the Course for the Future: how Agentic AI and MCPs are revolutionising Analytics | — |
| Maish Saidel-Keesing | Amazon Web Services | Speaker | From Launch to Long-term: Day 2 GenAI Operations at Scale | — |
| Marin Niehues | — | Speaker | Building AI Customer Clones: How to create products people actually use | — |
| Markus Nissl | data-insights.ai | Speaker | AI-Driven Interfaces: Designing the New Grammar of Interaction | — |
| Marton Hars | MOL Group | Speaker | An Enterprise AI Playbook supporting Explosive Retail Growth | — |
| Mátyás-Kollár Gabriella | — | Speaker | AI kerekasztal | — |
| Mihaly Kavasi | Avanade | Speaker | From Prototype to Production: Turn Power Query into Scalable Data Pipelines with AI | — |
| Miky Schreiber | Next Insurance | Speaker | Automating Data Quality with AI agents | — |
| Naci Simsek | Ververica | Speaker | Streaming Beyond the Hype: When Apache Flink Solves Real Problems | — |
| Peter Gostev | Arena | Speaker | What do Models Still Suck At | — |
| Peter Gostev | Arena | Speaker | Special 12 Months in AI | — |
| Péter Szabolcs | MOL Group | Speaker | An Enterprise AI Playbook supporting Explosive Retail Growth | — |
| Peter Vincze | Generali | Speaker | Data trendek kerekasztal | — |
| Peter Vincze | Generali | Speaker | Adatplatform megújítás a Generali Biztosítónál | — |
| Polla Tamás-Marosi | Bunzl BCE | Speaker | A hiányzó réteg: Hogyan lettek a Dash appok az adatplatformunk vezérlőpultja | — |
| Polla Tamás-Marosi | Bunzl BCE | Speaker | Data trendek kerekasztal | — |
| Radovan Bacovic | GitLab | Speaker | Building trust in AI: Implementing AI-powered semantic search for our Customer 360 data | — |
| Serhii Yakovenko | M&S | Speaker | LLM Integration Patterns for Engineering Infrastructure | — |
| Szilvia Hodvogner | Siemens | Speaker | AI biztonság a vasúton - Megbízható és ellenőrizhető MI folyamatok a kötöttpályás közlekedésben | — |
| Thijs Nieuwdorp | Polars | Speaker | Polars: Building a Unified API for All Scales of Data | — |
| Timothy Spann | Snowflake | Speaker | From Air Quality to Aircraft & Automobiles, Unstructured Data Is Everywhere | — |
| Vince Mozsa | 4Digital Age | Speaker | ETL keretrendszerek egy “új” világban | — |
| Vincent D. Warmerdam | marimo | Speaker | VIRTUAL: marimo now gives Claude access to all Python variables | — |
| Wesley Boelrijk | KLM Royal Dutch Airlines | Speaker | Bayesian Uncertainty Quantification for Formula 1 Racing Strategies | — |
| Yazan Alomari, PhD. | EPAM | Speaker | From Lecture Halls to Production Models: The AI Skills Gap Crisis | — |
| Zoltán Prekopcsák | Prezi | Speaker | From SaaS to Agent-Native: Prezi’s Path from Buttons to Conversations | — |
| Zsolt Csako | ESAB corporation | Speaker | Az adatkáosztól a tisztánlátásig: Globális adatplatform Microsoft Fabric alapokon | — |
| Zsolt Csako | ESAB corporation | Speaker | Data trendek kerekasztal | — |