Normalized claim
Quantified impact: 100 x increase
Manufacturers can now prepare up to 100x more data for analytics, compared to previous manual methods.
Sight Machine, in partnership with NVIDIA and Microsoft, developed Blueprint, a high-speed automated data labeling tool that helps manufacturers leverage all of their plant data for analytics. Traditionally, manual data labeling was so time- and resource-intensive that most manufacturers could only use about 1% of available plant data, limiting analytical insights and data-driven decisions. Blueprint automates the mapping of plant data tags to assets, vastly improving data contextualization and processing speed. This enables manufacturers to prepare and analyze 100x more data, uncover insights to optimize operations, and rapidly improve throughput, quality, and sustainability. Sight Machine's extensive experience in digitizing manufacturing is combined with NVIDIA’s AI hardware/software platform and Microsoft Azure AI/ML capabilities to deliver a scalable, GPU-accelerated solution. The platform helps manufacturers eliminate costly, error-prone manual labeling, accelerates analytics-driven improvement initiatives, and provides actionable insights to drive operational excellence. Blueprint is positioned as a key digital transformation accelerator for manufacturers seeking to unlock greater value from plant data, improve inter-team collaboration, and achieve continuous productivity improvements.
Reported outcomes
100x
quantified impactAutomation & deflection
Strategic outcomes
Normalized claim
Quantified impact: 100 x increase
Manufacturers can now prepare up to 100x more data for analytics, compared to previous manual methods.
The platform helps manufacturers eliminate costly, error-prone manual labeling, accelerates analytics-driven improvement initiatives, and provides actionable insights to drive operational excellence
Primary read
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Sight Machine Blueprint integrates AI-powered automated data labeling and mapping of plant tags to assets, significantly accelerating contextualization and preparation of plant data for analytics. The solution runs on NVIDIA's AI platform for rapid AI pipeline deployment and leverages Microsoft Azure AI and ML for cloud-scale machine learning and data management. The offering enables seamless edge-to-cloud processing of manufacturing data, unlocking the ability to analyze all available plant data.
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