Machine Learning for Industrial

Bring intelligent insights to your industrial operations

Applying artificial intelligence (AI) and machine learning (ML) to the vast amounts of industrial data created by systems, sensors, and assets can be a game-changer for optimizing your industrial operations. ML from AWS helps 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.

AWS re:Invent 2020 AWS for Industrial with Matt Wood (15:27)
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Benefits

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Work with industrial experts

Optimize your production operations with a proven leader in the industrial space.

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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 an AWS Partner.

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AWS Partners

Learn more about AWS Partners who can help you transform your industrial operations through ML.

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  • Improve uptime
  • Automate quality inspection
  • Optimize supply chain
  • Improve safety
  • Develop smarter forecasts
  • Improve uptime
  • 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.

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  • Automate quality inspection
  • 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.

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  • Optimize supply chain
  • 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.

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  • Improve safety
  • 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.

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  • Develop smarter forecasts
  • 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.

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Customer references

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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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Georgia-Pacific Optimizes Processes, Saves Millions of Dollars Yearly
 
Georgia-Pacific uses Amazon SageMaker to provide real-time feedback to machine operators regarding optimum machine speeds and other adjustable variables, enabling them to avoid production interruptions and maintain quality.
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Amazon Fulfillment Centers Enable Predictive Maintenance for Equipment
 
The Amazon fulfillment center in Mönchengladbach, Germany uses Amazon Monitron to prevent unplanned downtime by automatically detecting abnormal behavior in industrial machinery and enabling proactive action on potential failures. Using ML, the team effectively keeps miles of conveyer belts running smoothly to ensure thousands of customer orders are shipped every day.

AWS purpose-built ML services for Industrial

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Leading companies in industrial operations are already using AWS. Contact our experts and start your own AWS Cloud journey today.

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