Let's create the Industry of Tomorrow
Meet the Crosser team and deep dive into use cases and real life projects together with our customers and partners.
During this year's edition of Hannover Messe, we show case both old and new features in the Crosser platform, specially designed to radically simplify the way your industry works with your digital projects.
Learn more about:
- Low Code Development for Industry 4.0
- How to easily connect to +800 Industrial Systems
- How to simplify Machine Learning & AI Projects
At the stand, we offer introductions and discussions about our customers and partners' current projects. If you are interested in a custom demo of any current challenge in your business - Please don't hesitate to book an appointment with one of our experts.
Join the Daily Use Case Deep Dive Session
In these live sessions, Crosser experts will guide you through a handful of common industrial analytics and integrations challenges - focusing on the business value and the technical setup. Look into the schedule and find the daily theme that fit your needs:
Monday - The Intelligent Edge Layer ↓
- Advanced Edge Analytics
- Edge Analytics & Integration
Tuesday - Intelligent Industry (Machine Learning & AI ↓
- Machine Learning for the Factory Floor
- Shop Floor to Top Floor Data Integration
Wednesday - Intelligent Enterprise Integration ↓
- Enterprise Integration
- Intelligent Process (data) Automation
Thursday - Intelligent Edge to Cloud Integration ↓
- Edge to Cloud Integration
|May 30||The Intelligent Edge Layer|
Advanced Edge Analytics
Data Transformation and Normalisation for connected assets. Using Crosser pre-built analytics modules for rapid innovation and implementation of Edge Analytics.
Example - Production Optimisation for Metallurgy Industry
Better insights in production and quality. Fetching data from OT, normalising and persistent to database
Edge Analytics & Integration
Low code innovation for radically simplifying enterprise integration of asset, system and customer data.
Partner Example - Chemical usage reduction for Clothing Industries
Optimization for Clothing Industries. Cost effective and easy to manage platform for helping end users to reduce their chemical usage. Production ready solution, with zero-touch provisioning together with Microsoft Azure and Moxa (AIG). Crosser low code innovation for customized end user setup.
|May 31||Intelligent Industry (Machine Learning & AI)|
Machine Learning for the Factory Floor
Streaming analytics for process optimization and asset efficiency.
Partner Example - Production Optimisation within Manufacturing
Utilizing custom Machine Learning models on the factory floor. Crosser combined with Microsoft Azure services. Delivered in partnership with CGI.
Machine learning at the Edge
Learn how to utilize the Crosser Platform to enable Machine Learning for any asset on the Factory Floor. Implement any custom model and test it with live data.
Example - Waste Reduction for Pulp & Paper Industry
Using Machine Learning models for reducing chemical waste and optimizing the process.
|June 1||Intelligent Enterprise Integration|
Intelligent Process (data) Automation
Streaming data workflows for automated processes.
Example - Automated workflows for maritime
Automated ship- and passenger data workflows for third party integration. Bonus Example: Support optimization Support Tickets to Salesforce and Support Team
Shop Floor to Top Floor Data Integration
Intelligent data integration between MES and ERP systems. Transform and normalize data for ML use cases.
Example - Machine Data and ML to ERP for Food Production Industries
Integrate MES with ERP, sending data over industrial Message Bus. Edge ML for process optimization. Edge integration to SAP.
|June 2||Intelligent Edge to Cloud Integration|
Edge to Cloud Integration
The most common use case of today. Connect to machines and assets, transform and normalize data, and integrate to designated cloud service (IoT Hub, Data Lakes and Storage
Partner Example - Multi Cloud Integration within Glass Industry
Smart Factory architecture, for integrating machine and asset data into multiple cloud solutions and services. Low code edge analytics and data transformation. Integrating to Microsoft Azure and Google Bigquery.