Bas Geerdink
where else to find them
linkedin:geerdink
what they talk about
all 5 in the filters
where they keep going back
- Big Data LDN2 editions2018–2022
all 7 in the filters
on a stage with
- Martijn Visseronce
- Natalino Busaonce
who talks about the same things
- Alejandro Saucedo33 talks
- Bharath Reddy Baddam2 talks
- Noa Goldman2 talks
- Mikiko Bazeley6 talks
- Alessandra Bilardi5 talks
- Robert Hafner4 talks
| title | conference | date |
|---|---|---|
| From Prototype to Production Building a Scalable MLOps Platform from a Reference Arch | Big Data Conference Europe 2023 | 2023-11-22 |
A concrete reference architecture connects training pipelines, a model registry, a feature store and online scoring behind an API, with orchestration via… | ||
| The Culture, Architecture and Technology of MLOps | Compass Tech Summit 2023 | 2023-10-05 |
Argues that putting models into production is mostly culture and process not magic, equating MLOps to DevOps plus machine learning and insisting teams share… | ||
| MLOps In Practice – How To Run Your Machine Learning Models In Production At Enterprise Scale | Big Data LDN 2022 | 2022-09-21 |
Shows a practical reference architecture: a batch training pipeline that writes versioned model artifacts to a model registry and a separate real‑time scoring… | ||
| THE STATE OF MLOPS - MACHINE LEARNING IN PRODUCTION AT ENTERPRISE SCALE | Crunch Conference 2021 | 2021-10-07 |
Argues MLOps is DevOps applied to ML, with concrete architecture: Airflow training jobs produce serialized models stored in a model repository + Kubernetes… | ||
| Fast Data - an Overview of the Concepts, Architecture and Technology of Streaming Analytics | DevOps Pro Europe 2021 | 2021-05-11 |
Explains concrete design: use Kafka as the event bus, Flink or Spark for continuous jobs, start worrying at hundreds of events/sec and switch to distributed… | ||
| Data Science at ING | Big Data LDN 2018 | 2018-11-28 |
ING uses a Hadoop-based data lake plus Spark and ETL pipelines to combine decades of systems‑of‑record with real‑time transaction streams, creating a single… | ||
| Fast Data at ING | Flink Forward Berlin 2017 | 2017-09-11 |
ING builds a production streaming data platform using Apache Flink and Kafka that delivers actionable notifications and fraud detection. The platform processes… | ||
| Data Science in the Enterprise | J-Fall 2015 | 2015-11-05 |
ING centralizes multiple enterprise warehouses into a production Data Lake that feeds batch and streaming analytics, combining Hadoop, Spark, Cassandra, Kafka… | ||
| nothing matches | ||