Monitor and augment
inside-plant performance
with Edge AI
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Monitor and augment
inside-plant performance
with Edge AI
Monitor and augment
inside-plant performance
with Edge AI
In plants where monitoring and orchestrating IoT devices and AI applications, it is common to run into memory crunches and other related problems. And as AI adoption increases, deploying new applications becomes more challenging. Even with IT and OT integration interfaces, technology gaps can lead to ineffective communication between the operational and data science teams. Here's where Tredence Edge AI comes in to enhance integration and provide a collaborative platform.
Tredence’s Edge AI Solutions helps you maximize performance with seamless model deployment and orchestration. We minimize physical space requirements by providing close connectivity with Edge devices at scale and enable strategic collaboration between teams with model visibility.
Find out how Tredence helped our client correct low-quality machine output caused by erroneous operating settings with MachineOps, a feedback loop via edge integration, and parameters setting. This gave them benefits like:
23% drop in number of stoppages
4% reduction in production costs
15% reduction in WIP scrap wastages
Discover how we helped a major manufacturer deliver low latency insights to plant and device operators. Tredence’s AI/ML solution built with the Edge AI accelerator predicts the right machine parameters for the incoming product on the production line within 2 minutes and provides appropriate recommendations to the machine operator.
23% drop in number of stoppages
4% reduction in production costs
15% reduction in WIP scrap wastages
See how we helped one of the largest CPG players build and deploy an advanced smart manufacturing solution. The models built on cloud are deployed to plant edge devices to enable low latency automation and downstream analysis.
23% drop in number of stoppages
4% reduction in production costs
15% reduction in WIP scrap wastages
We integrate and synchronize Edge services and enable fast and reliable deployment of AI at scale via unified development, production, and deployment environments specifically meant for Edge
Our comprehensive EdgeOps solutions enables Edge-specific model optimization to enhance security and reduce costs while maintaining performance
Tredence’s Edge AI solution enables collaboration between digital teams across central DS teams and operational teams, reducing operational overheads and improving productivity
Having real-time visibility into model operational performance encourages close collaboration between data science and operations teams
By offering close connectivity with the edge devices at scale, we enable easy monitoring and orchestration of edge devices and business resources seamlessly as Edge AI is run locally on-premise
Enhanced operational efficiency
Integrated EdgeOps
Real-time analytics and scalability
Reduced latency and higher speeds
Reduce operational costs and energy consumption
