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Past events

How to Simplify Distributed Learning

Webinar
August 24, 2021
Online
We will show how to train a ML model in a distributed fashion without reformatting our code with Maggy on Databricks, from the Hopsworks platform. You will learn how to make ML models training with many workers as easy as running Python programs on your laptop.
More information >

Model Monitoring with KFServing and Hopsworks Feature Store

Webinar
June 22, 2021
Online
Learn how to recycle predictions logs and turn them into valuable information with KFServing and the Hopsworks Feature Store.
More information >

Bringing models to Production with an open-source Feature Store

Conference
June 17, 2021
Online
Join us on a journey from raw data, historical financial transactions, that we engineer into features using Apache Spark, to model training with TensorFlow, to model serving on Kubeflow's model serving framework, KFServing.
More information >

Breaking the Monolithic ML Pipeline with a Feature Store

Conference
June 11, 2021
Online
Learn about the state-of-the-art technologies in ML: Spark or Python for feature engineering? When to use Deequ vs Great Expectations. Which open-source feature store is best for you?
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Synthetic Data, Real Opportunities

Conference
June 10, 2021
Online
Data is positioned to be at the core of fintech. Join this panel to learn the real opportunities of synthetic data in finance.
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AI Engineering: MLOps with Feature Store

Meetup
June 3, 2021
Online
Watch our talk to learn and watch a demo of how the Hopsworks Feature Store enables MLOps workflows for training models using features from the Feature Store
More information >

MLOps+Feature Store: Move your models to production

Webinar
June 1, 2021
Online
What does it mean to move models development to production? This webinar discusses why you need a Feature Store in your MLOps workflows
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KFServing, Model Monitoring with Apache Spark and a Feature Store

Conference
May 26, 2021
Online
Join us at Data+AI Summit 2021 to learn how to serve and monitor models with KFServing, Hopsworks Feature Store and Spark and Spark Streaming.
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Enabling Governance with a Feature Store

Webinar
April 28, 2021
Online
Learn how about best practices for securing and governing your data assets for ML.
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Feature Store Global Meetup

Meetup
April 14, 2021
Online
Learn more about the low-latency Hopsworks Online Feature Store and how it enables you to do real-time predictions with training/serving skew.
More information >

Real-time predictions with a Feature Store: low latency and no training/serving skew

Webinar
March 30, 2021
Online
Learn how the Hopsworks Online Feature Store helps you make real-time predictions, with low latency and avoiding training/serving skew.
More information >

Simplifying Feature Engineering with Hopsworks Feature Store

Webinar
February 23, 2021
Online
This webinar will show how a feature store factors monolithic end-to-end ML pipelines into feature engineering and model training pipelines that can each run at different cadences.
More information >

Scalable, Automated ML Model Monitoring with KFServing and Hopsworks.

Conference
February 7, 2021
Online
In this session, we will present an open-source stream processing architecture, based on Spark Structured Streaming, for automating model monitoring with some experiment results.
More information >

Hopsworks Feature Store on Azure

Webinar
January 20, 2021
Online
We will walk through how to use use Hopsworks Feature to compute and ingest features from any Python or Spark environment in Azure - including Hopsworks itself, Databricks, HDInsight, or Azure ML.
More information >

Applied Distributed ML - Maggy: Scalable Asynchronous Parallel Hyperparameter Search

Conference
December 1, 2020
Online
We introduce Maggy, an open-source framework based onSpark, to execute ML trials asynchronously in parallel, with the ability to early stop poorly performing trials.
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Parallel Ablation Studies for Machine Learning with Maggy on Apache Spark

Conference
November 19, 2020
Online
We introduce a new Spark-based framework for design and parallel execution of ablation studies on machine learning frameworks.
More information >

Real-Time Feature Engineering w/ Apache Spark Streaming HOF

Conference
November 18, 2020
Online
HOF (Hopsworks real-time feature engineering) provides transformation of raw data to features at low latency and scale using Apache Spark Streaming, Pandas UDFs and PyArrow.
More information >

Solve Fraud Challenges with Graph Network and Deep Learning in Hopsworks

Webinar
August 26, 2020
Watch Recording
Learn how to use deep learning and graph embeddings to increase anomaly detection rates and reduce costs associated with fraud and anti-money laundering.
More information >

Berlin Machine Learning - GANs for Anti Money Laundering

Meetup
August 3, 2020
Online
We will talk about unsupervised and present our work on using GANs for anomaly detection for anti-money laundering.
More information >

OpML20 - Time Travel and Provenance for Machine Learning Pipelines

Conference
July 30, 2020
Watch Recording
We leverage data versioning and time-travel capabilities in our feature store to show how provenance can enable model reproducibility and debugging.
More information >

Manage your own Feature Store on Databricks with Hopsworks

Webinar
July 15, 2020
Watch Recording
Learn how to write Python or Scala programs to compute features and register them in Hopsworks, browse and inspect features, and create train/test datasets.
More information >

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