Data Conference Databasea Query.Farm index
Speakers

Robert Crowe

Employers on the program

  1. 2019–2022Google9 talks
Events9
Conferences5
Talks9
Years active2019–2022
Miles between events9,8235 in-person events · 4 countries

Appearances by year

201920202021202220232024202520262027
  • Beam Summit
  • Flink Forward
  • MLOps World (Machine Learning in Production)
  • O'Reilly Artificial Intelligence Conference
  • PyData

Talks

DateEventConferenceRoleTitleLinks
Jun 9, 20223rd Annual MLOps World 2022MLOps World (Machine Learning in Production)speakerProduction ML for Mission-Critical Applications
as Google
Oct 18, 2021Flink Forward Global 2021Flink ForwardspeakerSPONSORED Talk: ML Inference at scale, with Apache Beam and the Apache Flink runner: Easy as learning your 5 times tables.
as Google
In this talk, we will make use of Apache Beam and the Apache Flink runner along with the RunInference transform from the tfx-dsl library to build several…Show less

In this talk, we will make use of Apache Beam and the Apache Flink runner along with the RunInference transform from the tfx-dsl library to build several inference pipelines, from single models to multiple models in chained or branched configurations.

Aug 4, 2021Beam Summit 2021Beam SummitspeakerML Inference at scale, easy as learning your 5 times table, with tfx-dsl and Apache Beam!
as Google
In this talk, we will make use of the RunInferene transform from the tfx-dsl library to build several inference pipelines, from single models to multiple models…Show less

In this talk, we will make use of the RunInferene transform from the tfx-dsl library to build several inference pipelines, from single models to multiple models in chained or branched configurations.

SlidesVideo
Aug 24, 2020Beam Digital Summit 2020Beam SummitspeakerContinuous retraining with TFX and Beam
as Google
In this session we will walk through using Apache Beam and Tensor Flow Extended (TFX) to build a Beam pipeline that is continuously outputting timeseries data…Show less

In this session we will walk through using Apache Beam and Tensor Flow Extended (TFX) to build a Beam pipeline that is continuously outputting timeseries data which is used by TFX for re-training of a model.

Video
Apr 22, 2020Flink Forward Virtual Conference 2020Flink ForwardspeakerDistributed Processing for Machine Learning Production Pipelines
as Google

Production ML workloads often require very large compute and system resources, which leads to the application of distributed processing on clusters.

Nov 15, 2019PyData Cambridge 2019PyDatatalkTaking Machine Learning Research to Production
as Google
Oct 14, 2019O'Reilly Artificial Intelligence Conference London 2019O'Reilly Artificial Intelligence ConferencespeakerUntitled
as Google
Jun 19, 2019Beam Summit Europe 2019Beam SummitspeakerApache Beam for Production Machine Learning: TensorFlow Extended
as Google
Video
Apr 1, 2019Flink Forward San Francisco 2019Flink ForwardspeakerTensorFlow Extended: An end-to-end machine learning platform for TensorFlow
as Google
As machine learning evolves from experimentation to serving production workloads, so does the need to effectively manage the end-to-end training and production…Show less

As machine learning evolves from experimentation to serving production workloads, so does the need to effectively manage the end-to-end training and production workflow including model management, versioning, and serving.

Frequent co-speakers

SpeakerShared eventsShared talksLast together
Reza Rokni542021
Pablo Estrada4—2021
Steffen Hausmann4—2021
Jim Dowling3—2022
Alexey Romanenko3—2021
Austin Bennett3—2021
Ismaël Mejía3—2021
Israel Herraiz3—2021
Matt Casters3—2021
Maximilian Michels3—2021
Robert Burke3—2021
Seth Wiesman3—2021
Stephan Ewen3—2021
Thomas Weise3—2021
Tobias Kaymak3—2021

Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.