Machine Learning for Industrial
Bring intelligent insights to your industrial operations
Industrial systems create vast amounts of data but struggle with maximizing the value of the high volumes of data created by many disparate systems, sensors, and assets. Applying machine learning to industrial data can help you better understand and leverage that data, transforming it into insights that can increase product production per hour, enhance quality, lower the cost of products, and improve asset uptime.
AWS offers the broadest and deepest set of machine learning services to help you quickly and easily transform data into insights that you can use to proactively optimize industrial processes and supply chain operations, enable predictive maintenance to increase uptime, or monitor quality to ensure customer satisfaction.
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Ready to drive Industry 4.0 results with machine learning?
Discover how you can accelerate productivity, boost efficiency, and improving safety with machine learning
Benefits
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Work with industrial experts
Optimize your production operations with a proven leader in the industrial space. Build with machine learning and generative AI in a responsible way with end-to-end privacy, security, and AI governance.
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Choose from the ML services built for industrial
Analyze industrial data using ML services purpose-built for industrial use cases, such as Amazon Monitron, Amazon Lookout for Equipment, AWS Panorama, and Amazon Lookout for Vision.
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Accelerate ML implementation
Kickstart your ML journey with services and solutions that don’t require any ML expertise to get started, or work with AWS Partner Network (APN).
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Baxter improves operational efficiency
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AWS Partners
Learn more about AWS Partners who can help you transform your industrial operations with machine learning.
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Improve uptime
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Automate quality inspection
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Optimize supply chain
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Improve safety
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Develop smarter forecasts
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Improve uptime
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Improve uptime
Use ML to take proactive action and prevent problems before they occur. Implement predictive maintenance using the data collected from machine sensors and systems, under your unique operating conditions, with sophisticated machine learning techniques to automatically detect abnormal machine conditions as early as possible.
Customer and partner references
Core services
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Automate quality inspection
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Automate quality inspection
Use AI and ML to enhance visual imaging accuracy earlier in the quality control process. Automating visual inspection with machine learning can help industrial organizations with use cases such as detecting part damage like dents or scratches, identifying missing components, or even uncovering process issues such as recurring patterns of defects.
Customer and partner references
Core services
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Optimize supply chain
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Optimize supply chain
Automate supply chain optimization tasks that traditionally require human inspection or oversight, such as tracking throughput or the transportation of goods—even in edge environments with limited internet bandwidth. Computer Vision (CV), the application of machine learning used to analyze digital images or videos, can be added to existing on-premises cameras for a wide variety of industrial applications, and used to make ML-based predictions locally with high accuracy and low latency.
Customer and partner references
Core services
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Improve safety
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Improve safety
Automatically identify potential safety issues such as when workers or forklifts are straying into dangerous, off-limit zones, or other instances of non-compliance in industrial spaces that can lead to accidents. Implement Computer Vision at the edge for fast response times to send an alert to an individual, or automatically shut off machinery.
Customer and partner references
Core services
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Develop smarter forecasts
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Develop smarter forecasts
Model changes or irregularities in the supply chain, re-evaluate demand, optimize performance, and adapt to product or distribution changes. A machine learning-powered forecasting solution combines time series data with additional variables to automatically examine complex relationships and build forecasting models that are up to 50 percent more accurate than looking at time series data alone.
Customer and partner references
Core services
Customer references
![Baxter Baxter](https://d1.awsstatic.com/customer-references-case-studies-logos/baxter-logo%402x.674b003685cef63e887d95ff5c6891b5f803f838.jpg)
Baxter Improves Operational Efficiency with Predictive Maintenance Using Amazon Monitron
Using Amazon Monitron, Baxter International Inc. uses predictive maintenance to avoid unplanned equipment downtime, preventing over 500 machine hours of unplanned downtime in one facility.
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Koch Industries Uses ML to Drive Transformation
The global manufacturer, Koch Industries, adopted AWS services and a collaborative culture to help break down silos and accelerate the value of machine learning- based insights. For example, Koch’s subsidiary, INVISTA, uses Amazon SageMaker to develop anomaly-detection models that identify and prevent waste in air bag fiber production.
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AWS purpose-built ML services for Industrial
Resources
Get started
Leading companies in industrial operations are already using AWS. Contact our experts and start your own AWS Cloud journey today.
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