Big Data Conference Europe 2024
Big Data Conference Europe is a four-day event that focuses on technical discussions in the areas of Big Data, High Load, Data Science, Machine Learning and AI. The conference comprises a series of workshops and sessions, aimed at bringing together developers, IT professionals, and users, to share their experience, discuss best practices, describe use cases and business applications related to their successes. The event is designed to educate, inform and inspire – organized by people who are passionate about Big Data and Data Exploration. We look forward to seeing you there!
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Speakers
Noe Achache
Hall 2: Online Talks, Sicara
Andrzej Lassak
Hall 5: Artificial Intelligence, Pegasystems
Wannes Rosiers
Hall 6: Solutions & Architecture, Data Minded
Julien Jakubowski
Hall 2: Online Talks, StreamNative
Artsiom Yudovin
Hall 5: Artificial Intelligence, airSlate
Philipp Kiencke
Hall 5: Artificial Intelligence, dab: Daten - Analysen & Beratung GmbH
Bobur Umurzokov
Hall 6: Solutions & Architecture, GlassFlow
Kateryna Dubas
Hall 2: Online Talks, Legal IT Group
Thomas Schmidt
Hall 5: Artificial Intelligence, Metabase
Alexey Novakov
Hall 6: Solutions & Architecture, Ververica
Timothy J Spann
Unleashing the Potential of Cloud-Native Vector Databases, Zilliz
JP Hwang
GenAI Beyond Prototyping: The Path to Production with AI-Native Databases, Weaviate
Stephan Sahm
Big Data without Vendor Lock-in: Using PySpark on Kubernetes, Jolin.io
Torsten Steinbach
Putting AI in Production, EnterpriseDB
Takahiko Saito
Empowering Real-Time ML Inference and Training with GRIS: A Deep Dive into High Availability and Low Latency Data Solutions, Netflix
Christian Tzolov
Spring AI: Integrating Generative AI in Java Enterprise, Broadcom
Sebastiano Galazzo
Creating Your Own LLM from Opensource Models, Synapsia AI
Aliaksandr Valialkin
Large-Scale Logging Made Easy, VictoriaMetrics
Volker Janz
Level Up: Scaling Big Data and AI from Hadoop to Hybrid Google Cloud, InnoGames GmbH
Atita Arora
Impact of Vector Search: Unraveling Purpose-built vs. Traditional Databases for Gen AI Applications, Qdrant
Chloe Caron
How Well do LLMs Detect Anomalies in Your Data, Theodo UK
Esther Huyer
Siri Says "No, Capgemini Invent
Paul Andrew
An Evolution of Data Architectures - Lambda, Kappa, Delta, Mesh & Fabric, Cloud Formations
Yosef Arbiv
Hall 5: Artificial Intelligence, CISCO
Dhaval Thakker
Hall 2: Online Talks, University of Hull
Gaurav Tiwari
Hall 5: Artificial Intelligence, Spotify
Ricardo Sueiras
Hall 6: Solutions & Architecture, AWS
Swanand Rao
Hall 5: Artificial Intelligence, CloudAEye
Gunnar Morling
Hall 6: Solutions & Architecture, Decodable
Zain Hasan
Hall 2: Online Talks, Weaviate
Pedram Birounvand
Hall 6: Solutions & Architecture, UnionAll
Fawaz Ghali
Hall 1: Data & Analytics, Hazelcast
Andreas Buhlmeier
Hall 5: Artificial Intelligence, Dr. Bühlmeier Consulting
Amardeep Lidder
Hall 2: Online Talks, Cervello
Jeyhun Karimov
Hall 6: Solutions & Architecture, Ververica