Solve Fraud Challenges with Graph Network and Deep Learning in Hopsworks
Wednesday, August 26th @8:00 PM CEST
Sign up now →
20

Automotive Industry

Leverage the power of your data with Hopsworks Feature Store for Machine Learning

Data is revolutionizing the automotive industry and a key area of competitive advantage is the platforms used for data. Hopsworks is an open-source horizontally scalable platform that supports the ingestion of data from many sources at scale, storage of massive volumes of data at low cost, processing that data both in real-time (streaming analytics) and offline (batch analytics), and using machine learning and deep learning to build predictive models in-place on the data. Hopsworks includes au nique multi-tenant security model and support for the most advanced machine and deep learning processing with GPUs.

Hopsworks comes with a user-friendly web interface for running, managing, and accessing data and programs and supports secure 2-factor authentication as well as integration with authentication systems, such as LDAP, ActiveDirectory, OpenAuth-2. Internally, all communications between services is encrypted with TLS/SSL and data can be encrypted at rest, providing Enterprise-grade security for your data. Hopsworks is designed to enable UI-driven, secure collaboration between Data Owners, who are responsible (according to GDPR) for managing access to sensitive data, and researchers who wish to process that data. By default, researchers are prevented from importing data into or exporting data from sandboxed projects - projects are a mechanism to help ensure thatsensitive medical data can be stored in a shared cluster, but only made accessible to those individuals who needthe data when they need it

In the Feature Store, Data Engineers typically have main responsibility for adding new features to the feature store. New features areadded to meet new requirements from Data Scientists. However, if the feature is a simple SQL string for an external datastore, thenData Scientists can often handle such features themselves. Hopsworks supports the concept of projects. A project is a secure repositoryof data and code and members, where ach member has either a data owner role or a more restricted data scientist role. Each projectcan have its own FeatureStore. This way organizations can have a global feature store for less sensitive features (in a global project thatall employees are a member of), while sensitive features can reside in a closed project with control over which users have access to thefeatures. Features can be defined either in applications (Python/Scala/Java) or in the Hopsworks UI (for example, for simple featuresthat are SQL queries on external databases).
Hopsworks for Automotive

Hopsworks at a glance

Efficiency & Performance

Development & Operations

Governance & Compliance

Feature Store
Data warehouse for ML
Distributed Deep Learning
Faster with more GPUs
HopsFS
NVMe Speed with Big Data
Horizontally Scalable
Ingestion, Dataprep, training, Serving
Notebooks For development
First-class Python Support
Version Everything
Code, Infrastructure, Data
Model Serving on Kubernetes
TF Serving, MLeap, SkLearn
End-to-End ML Pipelines
Orchestrated by Airflow
Secure Multi-tenancy
Project-based restricted Access
Encription At-rest, In-Motion
TLS/SSL everywhere
AI-Asset Governance
Models, Experiment, data, GPUs
Data/Model/Feature Lineage
Discover/track dependencies

Efficiency & Performance

Feature Store
Data warehouse for ML
Distributed Deep Learning
Faster with more GPUs
HopsFS
NVMe Speed with Big Data
Horizontally Scalable
Ingestion, Dataprep, training, Serving

Development & Operations

Notebooks For development
First-class Python Support
Version Everything
Code, Infrastructure, Data
Model Serving on Kubernetes
TF Serving, MLeap, SkLearn
End-to-End ML Pipelines
Orchestrated by Airflow

Governance & Compliance

Secure Multi-tenancy
Project-based restricted Access
Encription At-rest, In-Motion
TLS/SSL everywhere
AI-Asset Governance
Models, Experiment, data, GPUs
Data/Model/Feature Lineage
Discover/track dependencies

Book a demo

Get an introduction to Hopsworks and Hopsworks Feature Store for your Machine Learning projects together with one of our engineers.

A comprehensive walk-through
• How Hopsworks can align with your current ML pipelines
• How to manage Features within Hopsworks feature store
• The benefits of Hopsworks Feature Store for your teams

Let us know if your specific wishes and pre-requisites for your personal demonstration.