Data Conference Databasea Query.Farm index
Conference
Big Data Technology Warsaw Summit (now Data & AI Warsaw Tech Summit) Data science & ML
Dates
Apr 20, 2026 – Apr 22, 2026
Venue
—
Place
Warsaw, Poland
Format
Hybrid
Status
Past
Attendance
—
Website
dataiwarsaw.tech
Recorded
0 sponsors · 75 speaker appearances
Notes
Data & AI Warsaw Tech Summit: paid workshop 'zero day' Apr 20, conference Apr 21 (on-site 2nd floor venue + online) and Apr 22 online. Speakers, companies, titles and sessions from the 'relation' page; plenary talks mapped to keynote.

Ticket prices

No ticket prices recorded

Sponsors 0

No sponsors recorded

Speakers and talks 75

SpeakerCompanyRoleTalkLinks
Juliana RodriguesSkyscannerKeynoteThe AI-Native Future: When Product, Design, and Engineering Converge—
Katherine MunroSwisscomKeynoteFrom Paper to Reality: Overhauling AI Innovation at Swisscom—
Ken JaroenchisakonBoomiKeynoteAction Is the New Insight: Agentic Workflows in Practice—
Kornel SkałkowskiXebiaKeynoteAI Against Fraud: Leadership Lessons in Building Competitive Advantage viaStructured AI Development—
Krzysztof PiątekEventionKeynoteSummary, closing, and awards announcement—
Krzysztof ZarzyckiXebiaKeynoteSummary, closing, and awards announcement—
Liniker SeixasTruecallerKeynoteAI Against Fraud: Leadership Lessons in Building Competitive Advantage viaStructured AI Development—
Rhys DugganAb InitioKeynoteBring AI to Your Data: Conversational Access Without Centralization—
Tomek ZglobickiEPAMKeynoteDark Factory: How AI Is Reshaping the Next Wave of Growth for Global Enterprises—
Akshay ApteZalandoSpeakerSmarter Data Pipelines: How Observability Drives Cost Efficiency in the Cloud—
Alessandro RomanoKuehne+NagelSpeakerThe New Wave of Time Series Foundation Models—
Alessandro RomanoKuehne+NagelSpeakerIs Bigger Always Better? Rethinking Scale in AI Systems—
Andrzej DudziecmBankSpeakerEnterprise Text-to-SQL: Moving Beyond Toy Examples—
Andrzej StobierskiPoldynamicSpeakerThe Impact of AI on Developer Productivity and Engineering Culture—
Andrzej WoronaCapcoSpeakerFrom Data to Meaning: Educating AI in Banking with Ontologies: Lessons from FIBO and Conversational Banking—
Arkadiusz WiśniewskiEPAMRoundtable7. Dark Factory: Are We Ready to Hand Control to AI?—
Borys StokalskiRETHINKSpeakerAll-in on AI vs. Proceed with Caution—
Breandán Ó’CeallacháinNotionSpeakerAutomate your team’s busywork—
Cezar CichockiOpenBIZSpeakerAI – Not Just Benefits, but Also Unrecognized Risks—
Cezar CichockiOpenBIZWorkshopEffective risk assessment and analysis for the operation of AI/LLM systems—
Eliza BujnowskaDentsuSpeakerAI ROI: Real Results or Expensive Experiment?—
Erik SchumannNORD/LBSpeakerWhat Do You Mean? – A Guide for Effective Metadata Management in Streaming Systems—
Filip VerloyRubrikRoundtable8. Securing the Autonomous Enterprise: Strategies for Governed AI Agent Integration—
Gabriel IgliozziNetflixSpeakerFrom Exabyte Warehouse to Intelligent Lakehouse: Iceberg at Netflix—
Inês BolañosPagerDutySpeakerAnalytics-Driven Decisions: when to Hire, Train or Fire your AI Agent—
Jacek BeraFandomSpeakerHow Fandom Built an Intelligent Brand Safety Pipeline for 50 Million Pages Generated by Users—
Jacek WalasekPwCSpeakerBeyond RAG: What It Really Takes to Make AI Agents Useful in Enterprise—
Jacek Wojcieszyński—WorkshopLarge Language Models: nowe wyzwania w zakresie bezpieczeństwa—
James Cobb-WalshAgreenaSpeakerGlobal-Scale Geospatial Machine Learning for Climate Change at Agreena—
Jarosław SyrokoszDataUniversumSpeakerOne Vendor, One Platform vs. Open & Composable—
Juliana RodriguesSkyscannerSpeakerAll-in on AI vs. Proceed with Caution—
Kacper GluglaXebiaWorkshopDatabricks AI Dev Kit in Action—
Kamil Raczyckidataplace.aiWorkshopIntroduction to Geospatial Machine Learning with Open Data—
Karol KulińskiAllegroSpeakerEngineering a Self-Governing Data Catalog: Building AI Agents from Scratch at Allegro—
Katherine MunroSwisscomSpeakerAI ROI: Real Results or Expensive Experiment?—
Katherine MunroSwisscomRoundtable4. How to Tame AI Agents in Production?—
Ken JaroenchisakonBoomiRoundtable2. Data Sovereignty in the EU: Is There Anything We Can Do About It?—
Konrad KokosaNethermind / own consultancyWorkshopBeyond Simple RAG Pipelines—
Kornel SkałkowskiXebiaRoundtable3. How You Harness AI for Data Engineering Practice: Success Stories, Patterns, Guidelines and Constraints—
Krzysztof JędrzejewskiPearsonWorkshopCzy LLM-y naprawdę są uniwersalne? O szwajcarskich scyzorykach sztucznej inteligencji—
Krzysztof OciepaBielik.aiSpeakerIs Bigger Always Better? Rethinking Scale in AI Systems—
Krzysztof ZarzyckiXebiaSpeakerWill AI Take Your Engineering Job?—
Kuba SołtysBank MillenniumSpeakerConducting the GPU Symphony with Rust and Triton—
Laura Żusin-KaczmarekCapcoSpeakerFrom Data to Meaning: Educating AI in Banking with Ontologies: Lessons from FIBO and Conversational Banking—
Łukasz BolikowskiComarchSpeakerAll-in on AI vs. Proceed with Caution—
Maciej BryńskiZettageneSpeakerOne Vendor, One Platform vs. Open & Composable—
Maciej SzymczakSecuritumSpeakerAI-Driven Web App Testing: Will LLMs Replace Manual Vulnerability Research?—
Maksymilian KonarskiPZUWorkshopSamoobsługaNEXT – AI w ubezpieczeniach—
Marcin MazurekBitropySpeakerAI ROI: Real Results or Expensive Experiment?—
Marcin ZabłockiPrintifySpeakerLangGraph on a Leash: Obedient Autonomy—
Marcin ZabłockiPrintifyRoundtable5. What Skills Are Required from Engineers in the Era of AI?—
Marek WiewiórkaXebiaSpeakerAI in the Data Stack: Migrations, Coding Agents, and Semantic Layer in 2026—
Martin DlaskKingSpeakerContextual Bandits as a Service for Real-Time Recommendations in Mobile Games—
Mateusz KroczyńskiAllegroSpeakerAI-Driven Data Mesh—
Max SchultzeHelloFreshSpeakerFrom Curiosity to Capability: HelloFresh’s Journey to Becoming a GenAI-Native Company—
Michał Boba3MSpeakerCounting the Gains: How to Measure and Communicate GenAI ROI—
Michał GóreckiTasteRaySpeakerWill AI Take Your Engineering Job?—
Michał HakenbergOChKSpeakerPredicting Your Favorite Meals: Implementing Recommendation Systems in Diet Catering—
Michał JabłońskiEPAMSpeakerIs Bigger Always Better? Rethinking Scale in AI Systems—
Michał MikołajczakdatarabbitSpeakerThe Privacy Trap: How Healthcare ML/AI Projects Leak Patient Data – and How to Prevent It—
Mikołaj ZapalskimBankSpeakerEnterprise Text-to-SQL: Moving Beyond Toy Examples—
Omer CelebiogluOobeyaSpeakerThe Impact of AI on Developer Productivity and Engineering Culture—
Paweł MarcinkowskiAllegroSpeakerAI-Driven Data Mesh—
Paweł SobkowiakMos HealthSpeakerWill AI Take Your Engineering Job?—
Paweł WyparłoBooksySpeakerAI Code Review as a Weapon Against Tech Debt—
Piotr KoziełPZUWorkshopSamoobsługaNEXT – AI w ubezpieczeniach—
Radosław PilarskiWhisky ProjectSpeakerHow AI Can Feel the Taste of Whisky?—
Rafał MałanijCBRESpeakerOne Vendor, One Platform vs. Open & Composable—
Rafał TokarskiSoftServeSpeakerApache Iceberg on GCP: What Breaks, What Works, What Matters—
Rhys DugganAb InitioRoundtable1. Making a Data Platform Ready for AI: What Does It Mean for You? What Works?—
Ruslan KorniichukLeading global FMCG companyWorkshopAgentic AI in Practice: Google Antigravity, FastMCP, and Python—
Sergey EninDropboxSpeakerImplementing GDPR on Modern Data Platforms: Balancing Compliance, Performance, Cost, and Business Consistency—
Tomasz ŻukowskiSamba TVRoundtable6. Right-Sizing Data Infrastructure: Are We Overengineering for “Medium Data”?—
Wojciech JanasAllegroWorkshopOd zera do miliarda: jak Allegro skaluje wykorzystanie tekstów GenAI w kampaniach marketingowych—
Wojciech TaisnerAllegroSpeakerEngineering a Self-Governing Data Catalog: Building AI Agents from Scratch at Allegro—

Sources