Conferences / Budapest Data+AI Forum
Budapest Data+ML Forum 2025
Jun 16–18, 2025 · Danubius Hotel Helia, Budapest, Hungary
- Conference
- Budapest Data+AI Forum Data science & ML
- Dates
- Jun 16, 2025 – Jun 18, 2025
- Venue
- Danubius Hotel Helia
- Place
- Budapest, Hungary
- Format
- Hybrid
- Status
- Past
- Attendance
- —
- Website
- budapestdata.hu
- Recorded
- 8 sponsors · 62 speaker appearances
- Notes
- Data Day (Jun 16) and ML Day (Jun 17) in person + streamed, Jun 18 online only. Full session list from the Sessionize schedule (one anonymized speaker omitted). 2025 ticket prices not archived on the live site.
Ticket prices
No ticket prices recorded
Sponsors 8
Speakers and talks 62
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Abdulrahman Kaitoua | SEON Technologies | Speaker | How to scale Data Governance? Data mesh from theory to practice | — |
| Adrian Brudaru | dltHub | Speaker | Coding on the Cutting Edge: Data Engineering in the Age of Vibes and Velocity | — |
| Ákos Polgár | Nextent | Speaker | Stream adatok feldolgozása: Stream Analytics vs Databricks | — |
| Allan Brunstein | EF Educational Tours | Speaker | EF's Data Modernization journey from on-prem SQL Server to the cloud | — |
| Andras Palffy | Perciv AI | Speaker | AI for Radars: Machine Perception Beyond Cameras | — |
| Anna Dr. Máté | OTP Bank | Speaker | Önkiszolgáló adatwebshop az OTP Bankban | — |
| Anna Dr. Máté | OTP Bank | Speaker | Data trendek kerekasztal | — |
| Attila Németh | — | Speaker | Adatplatform modernizáció az Erstében: Streaming, Data Product, Data Lakehouse, Shift Left | — |
| Attila Németh | — | Speaker | Data trendek kerekasztal | — |
| Attila Toth | ScyllaDB | Speaker | Real-time machine learning apps with NoSQL | — |
| Attila Zsolt Sajo | EPAM | Speaker | AI observability: a kezdetektől az alkalmazásig | — |
| Balázs Barko | Inteq | Speaker | Gen AI alkalmazások az ISO auditálásban | — |
| Balázs Szakács | Prezi | Speaker | Adapting Data Analytics to Change: Lessons from Prezi’s Post-COVID Evolution | — |
| Bence Arato | BI Consulting | Speaker | ML és AI trendek kerekasztal | — |
| Bence Arato | BI Consulting | Speaker | Data trendek 2025-ben | — |
| Bence Arato | BI Consulting | Speaker | Data trendek kerekasztal | — |
| Bence Arato | BI Consulting | Speaker | ML és AI trendek | — |
| Dan Sommer | Qlik | Speaker | After AI: Reinventing Data, Insights, and Action Amidst the Noise | — |
| Dan Sommer | Qlik | Speaker | Data trendek kerekasztal | — |
| Daniel Gafni | Anam | Speaker | Orchestrating in style with Dagster | — |
| Dennis Nerush | Elementor | Speaker | Scaling AI @ Elementor: Fault-Tolerant GenAI Solutions for Millions | — |
| Dennis Schulz | TNG | Speaker | Embeddings 101 - Learn the Secret Language of LLMs | — |
| Dr. Bence Czakó | Turbine.AI | Speaker | How (Not) to Build a Cell Foundation Model | — |
| Elias Schecke | TNG | Speaker | Embeddings 101 - Learn the Secret Language of LLMs | — |
| Felix Zumstein | xlwings | Speaker | Why I Built xlwings Lite: A Different Take on Python in Excel | — |
| Gábor Gollnhofer | Meta | Speaker | Adatmodellezés és automatizáció az AI korában | — |
| Gabor Szarnyas | DuckDB Labs | Speaker | DuckDB: From Research Project to Enterprise Database System | — |
| Georg Heiler | Magenta | Speaker | Scaling data pipelines @ Magenta Telekom | — |
| Gergely Daroczi | Spare Cores | Speaker | Resource Monitoring and Cloud Optimization for Data Science Tasks with Metaflow | — |
| Gergely Várhelyi-Tóth | roboGaze | Speaker | LLMs: The perfect psychopaths – a case for JEPA | — |
| Ilona Kovács | — | Speaker | Auchan GO a jövő automatizált kereskedelmi megoldása? | — |
| Jacopo Tagliabue | Bauplan | Speaker | Python Over Data Lakes: Building Deterministic AI Pipelines at Scale | — |
| Joakim Nilsson | Capgemini | Speaker | Knowledge Graphs improve GenAI — validating results builds trust for organizations | — |
| Josh Lewittes | Runhouse | Speaker | Build the Best AI For You: Mobilizing First-Party Data with Fine-Tuning | — |
| Judit Kisistok | Hakio | Speaker | ML és AI trendek kerekasztal | — |
| Judit Kisistok | Hakio | Speaker | From gut feelings to data-driven decisions: predicting fashion’s Next Big Thing | — |
| Julien Simon | Arcee AI | Speaker | Implementing High-Quality and Cost-Efficient AI Applications with Small Language Models | — |
| Laszlo Sragner | Hypergolic | Speaker | Code Smells in Machine Learning: What can we do about them? | — |
| Laura Laczó | BrokerChooser | Speaker | Developing Nuri, BrokerChooser’s AI assistant | — |
| Marat Saidov | Microsoft | Speaker | Phi SIlica, small but mighty on-device Small Language Model | — |
| Marcell Rózsás | Erste Bank Hungary | Speaker | Adatplatform modernizáció az Erstében: Streaming, Data Product, Data Lakehouse, Shift Left | — |
| Marco Gorelli | Quansight | Speaker | How Narwhals translates the Polars API to...everything! | — |
| Maria Anaplioti | — | Speaker | Kaizen's Cloud Data Lake 2.0: Redesigned for the Future | — |
| Marin Niehues | — | Speaker | AI beyond the code: Master your organisational AI implementation. | — |
| Miky Schreiber | Next Insurance | Speaker | Cost-Cutting Techniques for Data Engineers | — |
| Mor Kapronczay | Superlinked | Speaker | Multi-modal information retrieval with lightning fast nearest neighbour search | — |
| Nikola Ilic | Data Mozart | Speaker | Fabric "Bread & Butter" - A Whirlwind Tour on OneLake and Data Engineering | — |
| Nikolaos Michail | — | Speaker | Kaizen's Cloud Data Lake 2.0: Redesigned for the Future | — |
| Péter Duronelly | Magyar Telekom | Speaker | Költségmenedzsment a felhőben: FinOps bevezetés a Magyar Telekom adatplatformjánál | — |
| Peter Gostev | Moonpig | Speaker | Generative AI: Market Trends and Real-World Applications | — |
| Radovan Bacovic | GitLab | Speaker | AI-driven DataOps: building Data product with a taste of future | — |
| Sándor Gáspár | Stratis | Speaker | Magyarország családfája – azaz hogyan segíti az AI az állami anyakönyvek digitalizációját | — |
| Scott Routledge | Bodo.ai | Speaker | Simple and scalable data infrastructure for AI using Bodo and Iceberg | — |
| Simon Nagy | Hiflylabs | Speaker | Streamlining streaming workloads with Databricks Delta Live Tables | — |
| Szatucsek Zoltán | — | Speaker | Magyarország családfája – azaz hogyan segíti az AI az állami anyakönyvek digitalizációját | — |
| Szilard Nemeth | Continental | Speaker | Safety Analysis of AI in Autonomous Driving: A Data-Driven Approach | — |
| Tamás Földi | HCLTech | Speaker | Physical AI és a robotika jövője | — |
| Tamás Földi | HCLTech | Speaker | ML és AI trendek kerekasztal | — |
| Tamás Németh | DataHub | Speaker | Beyond the Catalog: Control Plane for Modern Data Ecosystems | — |
| Vasilije Markovic | Cognee | Speaker | Building memory for AI Agents | — |
| Zoltan Csonka | Infinite Lambda | Speaker | Semantic Layers for the AI-Ready Data Stack | — |
| Zoltán Molnár | BrokerChooser | Speaker | Developing Nuri, BrokerChooser’s AI assistant | — |