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Machine Learning at the Edge - Execute and orchestrate ML close to your assets
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Crosser Bring Your Own AI Strategy
Crosser - “Bring your own AI” to enhance the Edge Intelligence in Industrial IoT
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Crosser Vision Inspection Edge Analytics Blog
Vision Inspection for Industrial IoT. Powered by Edge Analytics.
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An important use of machine data is to calculate different KPIs to measure the performance and behaviour of machines or processes. Edge analytics is a perfect tool both for collecting the relevant data and calculating...

In this blog we will discuss how you can build a modern historian by combining best-of-breed tools in a flexible and efficient way.

Siemens Mindsphere has taken the lead as the open operating system for Industrial IoT, according to Forrester. The cloud-based platform is built to connect and integrate the entire manufacturing process, to give manufacturers the capability to implement a wide array of solutions

Stockholm/Sinsheim, February 11th, 2020 – Today, Crosser, a leading provider of Intelligent Edge Analytics software for Industrial IoT and Industry 4.0, and GEBHARDT Fördertechnik, knowhow leader in the industry of intralogistics, announced a joint initiative

Industry 4.0 is based on the convergence of OT and IT using modern technologies that are significantly easier to use and faster to deploy in order to extract business value from integrating machine data, shop floor data, enterprise data and cloud applications.

OSIsoft PI System is one of the most widely deployed solutions for capturing and storing machine data within manufacturing, energy, utilities, pharma, transportation and facility management. 

Stockholm/Munich, 20 November, 2019 - Crosser, a leading provider of Intelligent Edge Analytics software for Industrial IoT and Industry 4.0, today announced the opening of a new office in Munich as part of it’s growth strategy the company announced earlier this year.

The use of machine learning (ML) models is becoming more and more common in industrial IoT applications, especially for use cases such as anomaly detection and predictive maintenance. ML models are typically trained in the cloud using large stored datasets and iterative processing on powerful servers.

Kepware is one of the leaders in industrial connectivity, by providing drivers for almost any type of machine-level protocol. The main use case is to collect data from machines and deliver it to centralized platforms for analysis - but what if you want to take action on your data already on the factory floor? This is where Crosser comes in.

Connecting one machine to another is a big topic within Industrial IoT. In this webinar Crosser CTO Goran Appelquist, PhD will show you how to read OPC data from one machine and integrate the data into another machine in the same network.

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