Industry 4.0 / Industrial IoT

In this article, we share practical observations and real-world examples that illustrate how IT and OT systems can be connected in a scalable, secure, and pragmatic way. The focus is on approaches that work in complex industrial environments.

Driving a digital journey to standardize IoT solutions across 200 production sites.

Stockholm, 16 December 2025. We are pleased to share that we have been acquired by AVEVA, a global leader in industrial software based in the UK, and a wholly-owned subsidiary of Schneider Electric.

Enterprise DataOps combines people, processes, and technology to turn data into reliable, actionable insights. Success at scale requires governance, security, collaboration, and agile workflows. Enterprise-grade features like role-based access and structured oversight ensure safe, repeatable operations, and platforms like Crosser support scalable, secure DataOps across teams and sites.

Enabling fast implementation, scalable flows, and centralized MES integration.

Delivering real-time monitoring solutions that combine Crosser’s edge analytics and automation with Insight Terra’s cloud-native IoT and satellite platform.

This article explores why cameras make sense as industrial sensors, the advantages of edge processing, and how a generic low-code platform enables flexible, scalable, and secure vision monitoring — with practical use cases drawn from real-world implementations.

BizTalk support is ending, now’s the time to modernize. Crosser offers a scalable, low-code platform for seamless, intelligent integration across cloud, edge, and hybrid environments.

Facing the limits of a customized legacy system and fragmented data, All American Poly chose IFS Cloud to unify operations and Crosser to connect shop floor data with enterprise processes, enabling fast insights and a shorter implementation time.

By connecting to any manufacturing data source - from legacy equipment to the newest IoT sensors - companies can finally orchestrate their entire operation in real-time with Crosser and Databricks.