Crosser in the news
Press & Media Coverage
AIoT and Edge Analytics: a Powerful Combination
In this publication from Manufacturing Tomorrow, Johan Jonzon, CMO and Co-Founder of pioneer in edge analytics for the Industrial Internet of Things (IIoT) Crosser, explains how combining AI with the IoT can unlock the next generation of manufacturing.
The benefits, obstacles and future of edge computing
Supply Chain Brief publishes an article with Martin Thunman, co-founder and CEO of Crosser, sharing his expert insight into the advantages, obstacles and future outlook of edge computing.
The edge analytics market is growing, however there are still some obstacles that are preventing all companies from embracing the edge.
Advancing a Business into the Fourth Industrial Revolution, One Step at a Time
Article published by Automation.com where Johan Jonzon, CMO and co-founder of pioneer in edge analytics for the Industrial Internet of Things (IIoT) Crosser, explores how to advance a business into the fourth industrial revolution, one step at a time.
Exploring the most used Low Code modules for Edge Analytics
In this article published by IoT Business News, Goran Appelquist, CTO at Crosser, provides insight into the five most popular analytics modules being used to create data flows in its platform.
One of Crosser’s aims is to fight complexity with simplicity, and this is evident in the Flow Studio.
How to remove IT bottlenecks
Control Design article analyses how with limited resources and a backlog of projects, the only way IT teams can speed up progress is to find a quicker way to complete tasks. Companies can save time by switching to a low-code platform like Crosser, which provides a multitude of shortcuts to usual processes.
Leverage the edge: The benefits of processing data at the edge, not the cloud
Tech Startups publishes an article with Martin Thunman, co-founder and CEO at Crosser, about why the edge is an essential layer of the manufacturing technology stack.
Keep reading to understand the benefits of processing data at the edge rather than the cloud and how this data can be used to optimize production in manufacturing.