Events - Hopsworks

Hopsworks Live Demo

Weekly - Wednesday - 10AM CT

Sovereign AI with DeepSeek and Hopsworks

Function Calling for LLMs: RAG without a Vector Database

Build your own pdf.ai: Using both RAG and Fine-Tuning in one Platform

Building a Cheque Fraud Detection and Explanation AI System using a fine-tuned LLM

Scaling TikTok's Recommendation System: 1M Writes/Second with Hopsworks

Hopsworks Interactive Healthcare Chatbot with MONAI Toolkit

LLM-Powered Fashion Recommender

GPU Sharing for AI at Enterprise Scale

GPU Sharing for AI at Enterprise Scale

Maximize GPU efficiency with Hopsworks on Kubernetes—optimize scheduling, sharing, and tracking for scalable, cost-effective AI workloads.

chevron right

Scaling AI in the Nordics: Building for Growth and Impact

Scaling AI in the Nordics: Building for Growth and Impact

This panel brings together leading experts to explore how Nordic enterprises and institutions are overcoming scaling barriers, deploying AI solutions at scale, and aligning AI strategies with operational and business goals.

Peter Kurzwelly

chevron right

Real-Time Fraud Detection: Rolling Aggregations at Scale

Real-Time Fraud Detection: Rolling Aggregations at Scale

Unlock real-time fraud detection with rolling aggregations, enabling faster, more accurate AI-driven prevention at scale.

Javier de la Rúa Martínez

chevron right

Sovereign AI for Law Enforcement: Enhancing Public Safety with Hopsworks

Sovereign AI for Law Enforcement: Enhancing Public Safety with Hopsworks

Empowering government and law enforcement with secure, AI-driven solutions to enhance efficiency, security, and citizen services.

Rik Van Bruggen

chevron right

From Netflix to TikTok: Introduction to Addictive Recommendation Systems

From Netflix to TikTok: Introduction to Addictive Recommendation Systems

Build scalable, real-time recommendation systems that power personalized experiences across e-commerce, streaming, and social platforms.

chevron right

LLM-Powered Fashion Recommender

LLM-Powered Fashion Recommender

How to make LLMs aware of non-verbal actions (clicks, orders, etc) in applications.

Javier de la Rúa Martínez

chevron right

Transforming Retail with AI: A Hopsworks Perspective

Transforming Retail with AI: A Hopsworks Perspective

Explore how AI is transforming retail with Hopsworks, enabling personalization, efficiency, resilience, and advanced data governance.

Rik Van Bruggen

chevron right

Sovereign AI with DeepSeek and Hopsworks

Sovereign AI with DeepSeek and Hopsworks

Discover how you can get DeepSeek models up and running in an on-premises or cloud-based Kubernetes cluster in minutes with Hopsworks.

chevron right

Transforming Healthcare with Hopsworks Medical Copilot

Transforming Healthcare with Hopsworks Medical Copilot

Learn how Hopsworks Medical Copilot supports healthcare professionals throughout the treatment lifecycle, ensuring that no information is overlooked and allowing providers to dedicate more quality time to delivering improved patient care.

chevron right

Navigating the AI Landscape in the Nordics: Insights from Leading Experts

Navigating the AI Landscape in the Nordics: Insights from Leading Experts

Hear from top AI experts and industry leaders as they explore the current state of AI in the Nordics, discussing practical applications, trends and more.

chevron right

Introducing the AI Lakehouse

Introducing the AI Lakehouse

Discover the AI Lakehouse - advancing real-time data and Python support for batch, real-time, and LLM AI systems.

chevron right

Hopsworks GenAI Agile Copilot for Developers & Teams

Hopsworks GenAI Agile Copilot for Developers & Teams

Join us to learn how Hopsworks powers Agile Copilot for developers, scrum masters, project managers, and teams.

chevron right

Hopsworks Interactive Healthcare Chatbot with MONAI Toolkit

Hopsworks Interactive Healthcare Chatbot with MONAI Toolkit

Hopswork's chatbot that predicts diagnoses from chest X-rays using MONAI Toolkit’s TransCheX model.

chevron right

AI Governance: A Good Idea for Compliance and Efficiency

AI Governance: A Good Idea for Compliance and Efficiency

In this webinar we will demonstrate how the new AI regulation requirements can drive efficiency and productivity in AI teams.

Rik Van Bruggen

chevron right

Scaling TikTok's Recommendation System: 1M Writes/Second with Hopsworks

Scaling TikTok's Recommendation System: 1M Writes/Second with Hopsworks

In this webinar, we will show you how to build and operate a real-time feature streaming pipeline that writes at 1m ops/sec - TikTok Scale.

chevron right

Redis or RonDB: Decoding Database Architectures

Redis or RonDB: Decoding Database Architectures

We'll examine the architectural nuances of Redis and RonDB, shedding light on key factors such as data persistence, scalability, and transaction support.

chevron right

Building a Cheque Fraud Detection and Explanation AI System using a fine-tuned LLM

Building a Cheque Fraud Detection and Explanation AI System using a fine-tuned LLM

Build a LLM that detects whether a scanned image of a cheque is a fraud.

chevron right

ML with Neo4j Graphs: Towards better, production-ready ML systems

ML with Neo4j Graphs: Towards better, production-ready ML systems

Explore the synergies between ML Platforms and Graph Algorithms.

Rik Van Bruggen

chevron right

Build your own pdf.ai: Using both RAG and Fine-Tuning in one Platform

Build your own pdf.ai: Using both RAG and Fine-Tuning in one Platform

Let's build an AI system that allows you to search your private PDF files.

chevron right

Function Calling for LLMs: RAG without a Vector Database

Function Calling for LLMs: RAG without a Vector Database

This live session will look into extending RAG for LLMs to include the ability to query structured data and API calls using function calling.

chevron right

Real-time Features for Real-time Machine Learning Systems

Real-time Features for Real-time Machine Learning Systems

In this live coding session, we'll explore creating sub-second fresh feature pipelines, retrieving low-latency features, and on-demand feature computation on Hopsworks, along with other capabilities.

chevron right

Multi-Region High Availability Feature Store

Multi-Region High Availability Feature Store

Explore Hopsworks' High Availability capabilities, showcasing the resilience of individual components and a multi-region architecture.

Antonios Kouzoupis

chevron right

ML Driven Customer 360 using Neo4j features

ML Driven Customer 360 using Neo4j features

In this webinar, we show how to build from scratch an entire machine learning application that can go into production in 3 weeks.

Yogesh Palrecha

chevron right

ML Driven Identity Resolution using Neo4j features

ML Driven Identity Resolution using Neo4j features

In this webinar, we show how to build from scratch an entire machine learning application that can go into production in 3 weeks.

Yogesh Palrecha

chevron right

ML Driven Credit Risk using Neo4j features

ML Driven Credit Risk using Neo4j features

In this webinar, we show how to build from scratch an entire machine learning application that can go into production in 3 weeks.

Yogesh Palrecha

chevron right

ML Driven Supply Chain using Neo4j features

ML Driven Supply Chain using Neo4j features

In this webinar, we show how to build from scratch an entire machine learning application that can go into production in 3 weeks.

Yogesh Palrecha

chevron right

ML Driven Anti Fraud using Neo4j features

ML Driven Anti Fraud using Neo4j features

In this webinar, we show how to build from scratch an entire machine learning application that can go into production in 3 weeks.

Yogesh Palrecha

chevron right

ML Driven Anti Money Laundering using Neo4j features

ML Driven Anti Money Laundering using Neo4j features

In this webinar, we show how to build from scratch an entire machine learning application that can go into production in 3 weeks.

Yogesh Palrecha

chevron right

Hybrid Cloud/On-Premises LLMs with RAG and Fine-Tuning using Hopsworks

Hybrid Cloud/On-Premises LLMs with RAG and Fine-Tuning using Hopsworks

In this webinar, we will see the 3 programs you need to write to productionize a fine-tuned RAG LLM.

chevron right

Enterprise ML: Build and Deploy a Neo4j Application

Enterprise ML: Build and Deploy a Neo4j Application

In this webinar, we show how to build an entire machine learning application from scratch that can go into production in 3 weeks and meet the stringent response time and availability of SLAs at extreme scale.

chevron right

Enterprise ML: Build ML Apps for Anomaly Detection

Enterprise ML: Build ML Apps for Anomaly Detection

In this webinar, we show how to build an entire machine learning application from scratch that can go into production in 3 weeks and meet the stringent response time and availability of SLAs at extreme scale.

chevron right

Enterprise ML: Build a ML App for NBO/NBA

Enterprise ML: Build a ML App for NBO/NBA

In this webinar, we show how to build an entire machine learning application from scratch that can go into production in 3 weeks and meet the stringent response time and availability of SLAs at extreme scale.

chevron right

Beyond Model Monitoring: How to Monitor ML Features on Hopsworks

Beyond Model Monitoring: How to Monitor ML Features on Hopsworks

Monitoring features for ML models is something that generally is overlooked when monitoring models in production. In this webinar we will demonstrate how observe and monitor features in Hopsworks for a more holistic approach to model monitoring.

Javier de la Rúa Martínez

chevron right

Machine Learning Platform for Customer Relationship Management on Hopsworks

Machine Learning Platform for Customer Relationship Management on Hopsworks

In today's competitive market, customer relationship management is crucial for businesses to thrive. In this webinar we will show you how to use Hopsworks for building and deploying machine learning models for CRM.

chevron right

Machine Learning platform for Anti-Money Laundering

Machine Learning platform for Anti-Money Laundering

Money laundering is a significant threat towards organizations facing increasing pressure to detect and prevent financial crimes. In this webinar we will show you how to build and deploy AML models using Hopsworks.

chevron right

Machine Learning Platform for Credit Risk

Machine Learning Platform for Credit Risk

Credit risk is a crucial aspect in the financial industry, with organizations continuously seeking ways to improve their credit risk models. Delve into the entire life cycle of building and deploying credit risk models using Hopsworks.

chevron right

Machine Learning Platform for Identity Resolution

Machine Learning Platform for Identity Resolution

Identity resolution is a critical task in many industries. Join us as we walk through the entire life cycle of building and deploying fraud detection models using Hopsworks and open-source foundation models.

chevron right

Machine Learning Platform for Fraud Prevention - Real-Time and Batch

Machine Learning Platform for Fraud Prevention - Real-Time and Batch

Fraud prevention is a crucial aspect in many industries, from banking and finance to e-commerce and insurance. Join us as we walk through the entire life cycle of building and deploying fraud detection models using Hopsworks.

chevron right

Fine-Tuning and RAG LLMs in One Platform with Hopsworks

Fine-Tuning and RAG LLMs in One Platform with Hopsworks

In this webinar, we will walk through the LLM life cycle on Hopsworks and show you how to build LLM applications on your private data with Hopsworks and open-source foundation models.

chevron right

Generating Value with Data & AI

Generating Value with Data & AI

Explore the AI landscape in the Nordics and uncover the true business value of AI.

chevron right

Reuse Features with Feature Views on Hopsworks

Reuse Features with Feature Views on Hopsworks

In this webinar, we will introduce the "feature view" from Hopsworks, which is the API for ML model development.

chevron right

Real-time Machine Learning with Hopsworks

Real-time Machine Learning with Hopsworks

In this webinar, we will analyze the synergies of an integrated Feature Store and Model Serving platform for the operationalization of real-time ML-enabled services.

Javier de la Rúa Martínez

chevron right

How to Create Online Feature Pipelines

How to Create Online Feature Pipelines

In this webinar, we will introduce the challenges of building online feature pipelines, including integration with a feature store, online model serving infrastructure, and real-time feature computation, with stream processing and on-demand features.

chevron right

A Real-Time Feature Store for Snowflake, BigQuery, and Redshift

A Real-Time Feature Store for Snowflake, BigQuery, and Redshift

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

chevron right

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

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

chevron right

Great Models require great MLOps

Great Models require great MLOps

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

chevron right

Hopsworks 3.0: Introduction to the Python-centric Feature Store

Hopsworks 3.0: Introduction to the 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.

chevron right

Understanding performance and availability for feature stores

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.

chevron right

Effective Data Collaboration in AI

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.

chevron right

Effective Team Collaboration in AI

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.

chevron right

Installing Hopsworks Open Source

Installing Hopsworks Open Source

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

chevron right

Embedding Stores and Feature Stores - Better Together

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.

chevron right

Models and Features - More than the Sum of their Parts

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.

chevron right

Create your First Features on Hopsworks

Create your First Features on Hopsworks

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.

chevron right