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We had data in many isolated systems in many formats. We needed a standard hub to collect data from those various sources and push data to where we use them (manufacturing applications, reporting system, dashboard, etc.). It took 1-1.5 hours for a quality engineer to extract & prepare the data for daily reviews, and at times we only had weekly or monthly reports. But now, it is near real-time and the operations team can focus on value-generating tasks.

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Rija Nono Rakotoarisoa
Group IT Operations & Industry 4.0 Lead, Poclain Hydraulics
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Our close cooperation with Litmus enables us to apply innovative and scalable Industrial Data Operations that offer us extended insights and KPI driven automations for our factories and agriculture use-cases. We look forward to further expanding our successful partnership on the way to become a fully data driven and highly automated P&L business.

Volker Deckers
Lead Architect IoT/Analytics/AI, PFEIFER & LANGEN

From the blog

Explore our blog and see how to do more with data.

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Parth Desai

Director of Solutions & Industrials/Founding Engineer, Litmus

How Does Litmus Edge Makes Sense of My Data?

Here at Litmus, there is a common theme in the feedback we receive from our customers. How can I make sense of my raw industrial data, with all its inconsistencies and variabilities, even among identical machines on the same production line?

How Does Litmus Edge Makes Sense of My Data?
Industrial DataOps
Industry 4.0
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Dave McMorran

Director of Sales Engineering

Embracing the Unified Namespace Architecture with Litmus Edge

In manufacturing, embracing digital transformation is crucial. Litmus Edge simplifies the Unified Namespace (UNS) architecture, making it seamless to transition to digital and thrive in the modern landscape.

Embracing the Unified Namespace Architecture with Litmus Edge
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Suranjeeta Choudhury

Director Product Marketing and Industry Relations

Every Cloud Needs a Golden Edge: Finding the Best of Both Worlds

Edge computing moves computing power closer to data sources. It has 3 aspects: consumer, enterprise, and industrial IoT edge. An industrial edge DataOps platform provides real-time insights, analytics, and remote monitoring for industrial settings.

Every Cloud Needs a Golden Edge
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Vishvesh Shah

Director of Product Management

Edge Computing and Digital Twins: A Match Made for Manufacturing

The integration of edge computing with digital twins can help address challenges faced by manufacturers. It can reduce response time, optimize data, improve security, and lower risk.

Edge Computing and Digital Twins
Digital Twins