Conferences / Budapest BI Forum
Budapest BI Forum 2019
Nov 12–14, 2019 · Mercure Budapest Castle Hill, Budapest, Hungary
- Conference
- Budapest BI Forum Database
- Dates
- Nov 12, 2019 – Nov 14, 2019
- Venue
- Mercure Budapest Castle Hill
- Place
- Budapest, Hungary
- Format
- In person
- Status
- Past
- Attendance
- —
- Website
- budapestbiforum.hu
- Recorded
- 12 sponsors · 45 speaker appearances
- Notes
- Tutorial day (Hungarian-language full-day workshops: Power BI, Tableau, data science, deep learning, dataviz; workshop instructors not named on the page) on Nov 12, conference Nov 13-14 with BI & Data-Driven Business, PyData, rstats, Machine Learning and Dataviz tracks. Speakers from the archived schedule and speaker list; Hungarian names kept in the family-name-first order printed on the site. "Watson in BI" (Business Process Consulting) listed without a speaker name; omitted. Sponsor tiers as printed in Hungarian (Arany = gold, Ezüst = silver).
Ticket prices
| Ticket | Price | Valid until | Notes | Source |
|---|---|---|---|---|
| Workshop day (Tuesday) – First Minute | €182 | — | Excl. 27% VAT | web.archive.org |
| Workshop day (Tuesday) – Early Bird | €208 | — | Excl. 27% VAT | web.archive.org |
| Workshop day (Tuesday) – Standard | €260 | — | Excl. 27% VAT | web.archive.org |
| Two days (Wednesday and Thursday) – First Minute | €280 | — | Excl. 27% VAT | web.archive.org |
| Two days (Wednesday and Thursday) – Early Bird | €320 | — | Excl. 27% VAT | web.archive.org |
| Two days (Wednesday and Thursday) – Standard | €400 | — | Excl. 27% VAT | web.archive.org |
| Three days – First Minute | €462 | — | Excl. 27% VAT | web.archive.org |
| Three days – Early Bird | €528 | — | Excl. 27% VAT | web.archive.org |
| Three days – Standard | €660 | — | Excl. 27% VAT | web.archive.org |
Sponsors 12
Gold 7
- Bixpert · ARANY TÁMOGATÓK
- BPC · ARANY TÁMOGATÓK
- Dyntell Software · ARANY TÁMOGATÓK
- Oracle · ARANY TÁMOGATÓK
- SAS · ARANY TÁMOGATÓK
- Stratis · ARANY TÁMOGATÓK
- United Consult · ARANY TÁMOGATÓK
Community 1
- MVISZ · SZAKMAI PARTNER
Media 2
- Adverticum · MÉDIAPARTNER
- Computerworld · MÉDIAPARTNER
Speakers and talks 45
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Arató Bence | BI Consulting | Keynote | BI és Analitika trendek 2019-ben | — |
| Bátorfy Attila | ATLO | Keynote | Adatvizualizáció az ATLO műhelyében | — |
| Colin Gillespie | Jumping Rivers | Keynote | How to win an AI Hackathon, without using AI | — |
| Jonathan Brooks-Bartlett | Deliveroo | Keynote | You got served: How Deliveroo improved the ranking of restaurants | — |
| Abrán József | SAS | Speaker | Online játékból milliárdos bevételek - World of Tanks | — |
| Alex Trickey | Secret Sauce Partners | Speaker | Applications of Graph Theoretic Techniques in Data Driven Merchandising | — |
| Arató Bence | BI Consulting | Panelist | Scaling BI roundtable | — |
| Benes László | Szallas.hu Zrt | Speaker | Az Exceltől a BI-ig | — |
| Borbély Zsolt | United Consult | Speaker | Adatalapú optimalizáció a kiskereskedelemben | — |
| Burghard Tamás | Ingatlan.com Zrt | Speaker | Handling high cardinality categorical variables with embeddings | — |
| Clemens Zauchner | IT Power Services | Speaker | Data storytelling with tables: using tableHTML to emphasise key information for your audience | — |
| Csala Dénes | Lancaster University / székelydata | Speaker | Adat és vizualizáció Erdélyben: a medvéktől a D3-ig | — |
| Damien Soukhavong | Planeum | Speaker | GBM: stories from the trenches | — |
| Dana Jomar | IT Power Services | Speaker | Data storytelling with tables: using tableHTML to emphasise key information for your audience | — |
| Daróczi Gergely | System1 | Speaker | Productionizing R scripts in the cloud | — |
| Deák-Meszlényi Regina | Continental | Speaker | Cutting edge neural architecture optimization in practice | — |
| Erdélyi Balázs | Magyar Telekom | Speaker | ML alkalmazása az egyedi vásárlói szándék azonosítására | — |
| Fekete Zoltán | Oracle | Speaker | Oracle Analytics: analitika autonóm adatpiacokon mesterséges intelligenciával | — |
| Fodor Szabolcs | United Consult | Speaker | Adatalapú optimalizáció a kiskereskedelemben | — |
| Gálfi Gergely | SAS | Speaker | Online játékból milliárdos bevételek - World of Tanks | — |
| Gáspár Ramóna | Erste Bank Hungary | Panelist | Scaling BI roundtable | — |
| Gürkan Ürgen | Strategy | Speaker | How can we make our employees HyperIntelligent with Zero-Click Analytics? | — |
| Gyires-Tóth Bálint | BME TMIT | Speaker | Time series modeling with deep learning | — |
| Hámornik Balázs Péter | Emarsys | Speaker | Mitől lesz bizalmunk az Ai-termékekben? Interpretálhatóság és gépi tanulás a (fekete-) dobozban | — |
| Havasi Andor | Stratis | Speaker | MOL-csoport fogyasztói szolgáltatásai: evolúció egy világszínvonalú adatvezérelt működés és kultúra felé | — |
| Jan Pipek | DTOne | Speaker | Practical Guide to Designing Implants for Pandas | — |
| Kopacz Botond | EPAM | Speaker | Önkiszolgáló BI & Machine Learning | — |
| Kővári Attila | BIProjekt.hu | Panelist | Scaling BI roundtable | — |
| Laszlo Kovacs | werkspot.nl | Speaker | How can fairness metrics solve ethical dilemmas of ML? | — |
| Mikus Tamás | Avis Budget Group | Speaker | Önkiszolgáló BI és Python az Avis Budget Group BSC-nél | — |
| Mikus Tamás | Avis Budget Group | Panelist | Scaling BI roundtable | — |
| Milan Janosov | Central European University | Speaker | Uncovering success patterns in electronic music | — |
| Orosz György | LogMeIn | Speaker | Python NLP libraries you wished to know | — |
| Pafka Szilárd | Epoch | Speaker | Gradient Boosting Machines (GBM): from Zero to Hero (with R and Python code) | — |
| Prikler Attila | Wizz Air | Speaker | A NO SHOW dilemma | — |
| Przemyslaw Biecek | Samsung R&D / Warsaw University of Technology | Speaker | Human-Centered Interpretable Machine Learning | — |
| Radnai Szabolcs | Oracle | Speaker | Oracle Analytics: analitika autonóm adatpiacokon mesterséges intelligenciával | — |
| Salga Péter | Dyntell Software | Speaker | Dyntell BI: Made in Hungary | — |
| Sarkadi Tamás | EPAM | Speaker | Önkiszolgáló BI & Machine Learning | — |
| Szalai Márk | Szent Istvan University | Speaker | Using descriptive charts to better understand your data | — |
| Szűcs Krisztina | krisztinaszucs.com | Speaker | Parédés grafikonok a Plot Parádéval | — |
| Tajti András | OTP Bank | Speaker | PySpark a gyakorlatban | — |
| Török Ágoston | AGT International | Speaker | A produktív adat teamek 5 elve | — |
| Tóth Máté | BlackRock | Speaker | Topic modelling for mining financial sentiment – extracting topics from the FED | — |
| Žygimantas Medelis | TokenMill | Speaker | Adding Narrative to BI Dashboards with Natural Language Generation | — |