Data Conference Databasea Query.Farm index
Conference
Big Data Technology Warsaw Summit (now Data & AI Warsaw Tech Summit) Data science & ML
Dates
Apr 8, 2025 – Apr 10, 2025
Venue
—
Place
Warsaw, Poland
Format
Hybrid
Status
Past
Attendance
—
Website
dataiwarsaw.tech
Recorded
0 sponsors · 69 speaker appearances
Notes
Renamed Data & AI Warsaw Tech Summit. Paid workshop day Apr 8 (on-site), conference Apr 9 hybrid (on-site + online), Apr 10 online. Speakers, companies and titles from the post-event agenda ('relation') page; plenary talks mapped to keynote.

Ticket prices

No ticket prices recorded

Sponsors 0

No sponsors recorded

Speakers and talks 69

SpeakerCompanyRoleTalkLinks
Adam DubielXTBSpeakerAI’s double-edged sword: Reshaping the Future of Data & AI Careers—
Adam KawaGetInDataSpeakerAI’s double-edged sword: Reshaping the Future of Data & AI Careers—
Akshay ApteZalandoSpeakerData Governance and Access Control in GCP BigQuery—
Alessandro RomanoKuehne+NagelSpeakerFrom LLM to Agentic AI: Implement your first Agent with CrewAI—
Anis NasirKingSpeakerKingestor: Real-Time Ingestion of hundred of billions of Game Events for ML and Analytics—
Arif WiderHTW BerlinSpeakerAutomating Data Governance with Generative AI—
Arif WiderHTW BerlinRoundtable6. Automating Data Governance with LLMs—
Artsiom YudovinairSlateRoundtable7. Building Real-Time Analytics Solutions: Architectures, Challenges, and Solutions—
Bartosz JanotaBoltRoundtable9. If I were to build a global Data Platform for the third time. What would it be, and most importantly – what wouldn’t?—
Bartosz WieczorekSabre PolskaSpeakerAtomic habits in optimizing large-scale data processing for AI/ML—
Damian KowalikINGSpeakerAutomation in Credit Risk Model Life Cycle—
Daniel Olmedilla"CTO Morning Coffee"SpeakerAI’s double-edged sword: Reshaping the Future of Data & AI Careers—
Daniel OlmedillaLinkedInSpeakerBuilding LinkedIn member trust in the new age of Generative AI—
Daniel ŚliwińskiLOT Polish AirlinesSpeakerLeveraging Feature Store for High Sparsity Recommendations at LOT Polish Airlines—
Deepak PatankarBooking.comSpeakerGraphs for real-time Fraud Detection and Prevention—
Denys KovalenkoBoltSpeakerScaling Vector Search for millions of users.—
Dmitry UshakovWebProsSpeakerOpen-weights semantic search for customer support—
Eugeniu OstrovanAgile LabRoundtable4. Technical and Strategic Lessons from Implementing GDPR—
German LuceroTUISpeakerPrompt Engineering vs. Fine-Tuning: Striking the Balance in Building AI Agents—
Grzegorz PuchawskiSirius XMSpeakerApplication of the AI and Data Science in the media streaming—
Iveta LohovskaHewlett Packard EnterpriseSpeakerAI acccelerating a country: defining sovereignty in a new era of AI—
Jacek CieślakRaiffeisen TechSpeakerOptimizing Fraud Detection: Leveraging AI and Organizational Tools for Effective Compliance—
Jake Robert MongayaSumUpRoundtable5. Evolving from Data Engineering to Data Platform: Key Mindset and Technical Shifts for Success—
Jakob Gottlieb SvendsenSaxo BankSpeakerHow Saxo Blueprint leverages GitOps & Spotify Backstage eases the life of Developers, Supporters and Auditors alike!—
Jan SawickiWarsaw University of TechnologySpeakerThe greatest MEMES of Reddit with computer vision and visual transformer embeddings—
Joe Arun MathewsScaniaSpeakerRevolutionizing Master Data Management at Scania: From Cloud to Insight-Driven Data Products—
Johan BaltzarSteepWorkshopMetric-first BI with Steep: See what true self-service looks like—
Jonathan SunderlandAb InitioSpeakerAI Fabric: Advanced Context Engineering for Smarter AI Solutions—
Juliusz NadbereżnyGetInDataSpeakerHow Dema.ai Uses ClickHouse & Flink for Customer-Facing Analytics. The hidden power of streaming—
Kamil RarógElisa PolystarSpeakerScaling Big Data Platforms: Lessons from Global Deployments—
Karolina SaputaLanguage Modelling Department ICS PASSpeakerIn search of a good LLM: traces of alignment and optimisation without training.—
Karolina ZinnerAllegroSpeakerMy KPI is bigger than your KPI… but why? Integrating Airflow orchestration, infrastructure-as-code and documentation-as code into a unified framework for Metrics Management—
Kishore PandaDirect LineWorkshop[CANCELED] Harnessing Real-Time Analytics: Building a Cost-Effective, Resilient Data Lake and Data Mesh with CDC Tools—
Krzysztof JędrzejewskiPearsonRoundtable1. Which LLMs are better: managed APIs or self-hosted open models?—
Krzysztof ZarzyckiXebiaWorkshopUnlocking Real-Time Potential with Apache Flink—
Luis DiasTUISpeakerPrompt Engineering vs. Fine-Tuning: Striking the Balance in Building AI Agents—
Maciej Niemir, PhDŁukasiewicz – Poznański Instytut TechnologicznySpeakerData quality with AI support—
Małgorzata ŚmietankaUniversity College LondonSpeakerLeveraging LLMs for Claims Processing: Insights, Demo, and Lessons Learned.—
Manikandan KaruthapandianScaniaSpeakerRevolutionizing Master Data Management at Scania: From Cloud to Insight-Driven Data Products—
Marcin CinciałaAllegroSpeakerMy KPI is bigger than your KPI… but why? Integrating Airflow orchestration, infrastructure-as-code and documentation-as code into a unified framework for Metrics Management—
Marcin JeżoINGSpeakerAutomation in Credit Risk Model Life Cycle—
Marcin ZabłockiPrintifyRoundtable8. Pipelines in MLOps – discussion about building & orchestrating ML workflows: challenges, tools, success stories—
Marek WiewiórkaXebiaSpeakerArchitecting a Scalable and Cost-Effective Data Lakehouse—
Marek WiewiórkaXebiaWorkshopLLMOps in Action: Build, Deploy & Optimize GenAI Apps—
Mariusz Kujawski—SpeakerAre you ready for Generative BI? The new level of data platform evolution—
Mariusz StrzeleckiIndependent ContractorWorkshopGood things come in small packages – SQLite and DuckDB case—
Mateusz Kania3SoftSpeakerData Extrapolation in Forecasting—
Mateusz PytelXebiaWorkshopLLMOps in Action: Build, Deploy & Optimize GenAI Apps—
Mateusz RomaniukXTBSpeakerBuilding and Adopting a Versatile Private AI Chat Platform: A User-Centric Approach—
Mateusz WujecRaiffeisen TechSpeakerOptimizing Fraud Detection: Leveraging AI and Organizational Tools for Effective Compliance—
Mathew MithunUberSpeakerEnabling Security for Uber’s Data Infrastructure—
Max SchultzeHelloFreshSpeakerThe only way to enforce best practices is to offer them out of the box: HelloFresh’s data engineering framework—
Michał ChrzanowskiTpaySpeakerRethinking BI: Why Dashboards Alone Aren’t Enough – Empowering Front-Line Decision-Making with Proactive BI in Fintech—
Michał MikołajczakdatarabbitRoundtable3. Taming GenAI in Production: pitfalls and solutions in real-world deployments—
Mirco PyrtekTeam Internet GroupWorkshopBuilding the Foundation for Success: A Multitier Architecture for LLM-enabled Applications—
Patryk RadońLOT Polish AirlinesSpeakerLeveraging Feature Store for High Sparsity Recommendations at LOT Polish Airlines—
Paweł GołąbBCNN.ioSpeakerTrace in the Trucks: Using Network Analysis and Geographic Patterns to Uncover Fake Logistics Platform Accounts—
Paweł JabłońskiSoftServeSpeakerNLP Analytics: Challenges and Solutions with GCP Modern Tech Stack—
Paweł Rzeszuciński, PhDWebProsSpeakerOpen-weights semantic search for customer support—
Peter PorserudDema.aiSpeakerHow Dema.ai Uses ClickHouse & Flink for Customer-Facing Analytics. The hidden power of streaming—
Piotr KaczorIQVIARoundtable2. Beyond Terraform – efficiently managing SnowFlake account setup—
Rajat SaxenaBooking.comSpeakerGraphs for real-time Fraud Detection and Prevention—
Robert MarekRaiffeisen TechSpeakerOptimizing Fraud Detection: Leveraging AI and Organizational Tools for Effective Compliance—
Sahar Tahvili, PhDEricssonSpeakerAI-Driven Software Testing: Redefining Quality and Innovation in the Telecommunications Industry—
Sivan BihamHealthy.ioSpeakerBridging the SQL Skills Gap: How LLM-Based Text-to-SQL Boosts Team Productivity—
Stephan EwenRestateSpeakerFrom Apache Flink to Restate – event-driven applications from analytics to transactions—
Szymon BortelOLX GroupSpeakerBuilding efficient ecosystem to visualise cube metrics. From native cubes to hyper-log-log.—
Tomasz KostyrkaGetInDataSpeakerArchitecting a Scalable and Cost-Effective Data Lakehouse—
Tomasz ŻukowskiSamba TVSpeakerOne notebook to rule them all. From dev via staging to production with Databricks.—

Sources