Events

Online

October 5, 2022

Serverless machine learning systems with Hopsworks and Github Actions

Hopsworks Feature Store after 4 years: Lessons learned and what's next

Leverage your Snowflake, BigQuery, Redshift Data Warehouse with a Real-Time Feature Store

In this talk we will discuss how Hopsworks can be connected to existing cloud native data warehouses like Snowflake, Redshift and BigQuery.

Fabio Buso

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Data Validation for Enterprise ML using Great Expectations and Hopsworks Feature Store

In this webinar we will explain the core concepts of great expectations and how we made them available on Hopsworks to be used within your feature pipelines. Users are able to define expectation suites or reuse their existing ones.

Victor Jouffrey

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Great Models require great MLOps - using Weights and Biases with Hopsworks

Training an ML model nowadays is the easy part — managing the lifecycle of the experiments and the model is where things get complicated.

Moritz Meister

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Hopsworks 3.0, Introduction to the new Python-centric Feature Store

In this webinar, Fabio Buso, VP of Engineering at Hopsworks will present the new 3.0 release; How our new Feature View and write APIs have evolved to help Data Scientists bring their models to production, and other state-of-the art new improvements.

Fabio Buso

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Understanding performance and availability for feature stores

Join us to learn how performance at any scale is impacted by high availability infrastructures, and how those capabilities impact the value that is generated from the use of machine learning.

Jim Dowling

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Effective Data Collaboration in AI

Join us to learn how a feature store, with its multiple data sources and diversity of connectors, streaming data, and online data sets, allows teams to work together, share information, and complement each other's work.

Jim Dowling

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Effective Team Collaboration in AI

The modern data team consists of Data Engineers, Data Scientists, Machine Learning Engineers, and Business Analysts, but effective collaboration is challenging. In this talk we will show how a centralized data platform helps solve these issues.

Jim Dowling

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Installing Hopsworks Open Source

Learn how to install and configure Hopsworks on your local machines, and how to connect to the Hopsworks Feature Store.

Jim Dowling

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Embedding Stores and Feature Stores - Better Together

Learn how to build and operate search and recommendation systems on Hopsworks, with support for the most important pieces of infrastructure.

Jim Dowling

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Models and Features - More than the Sum of their Parts

Learn how to develop and deploy online models at ease for the open-source KServe and Hopsworks platforms without extensive MLOPs experience.

Jim Dowling

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Create your First Features

A live walk through on how to work with features, both offline and online. We will have a live coding demo on how to get started with Hopsworks, create features and push them to the Hopsworks Feature Store.

Jim Dowling

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Try now free

The Feature Store is the essential part of AI infrastructure that helps organisations bring modern enterprise data to analytical and operational ML systems. It is the simplest most powerful way to get your models to production. From anywhere, to anywhere.From months, to minutes.

Events

Leverage your Snowflake, BigQuery, Redshift Data Warehouse with a Real-Time Feature Store

Data Validation for Enterprise ML using Great Expectations and Hopsworks Feature Store

Great Models require great MLOps - using Weights and Biases with Hopsworks

Hopsworks 3.0, Introduction to the new Python-centric Feature Store

Understanding performance and availability for feature stores

Effective Data Collaboration in AI

Effective Team Collaboration in AI

Installing Hopsworks Open Source

Embedding Stores and Feature Stores - Better Together

Models and Features - More than the Sum of their Parts

Create your First Features

Try now free

Request a demo