Maximize the value of your Industrial data
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?
Benefits
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.
Choose from the ML services built for industrial
Analyze industrial data using ML services purpose-built for industrial use cases.
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).
Featured customers
Baxter improves operational efficiency
Learn how Baxter reduced unplanned equipment downtime with machine learning
Read the case study »
Banco de Bogotá advances fraud detection
Learn how Banco de Bogotá innovates with AI and ML
Read the case study »
AWS Partners
Explore industrial use cases
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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Core services
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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Core services
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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Core services
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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Core services
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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Core services
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AWS purpose-built ML services for Industrial
AWS is a Leader in the Gartner Magic Quadrant
Gartner recognizes AWS is a Leader in Cloud AI Developer Services Magic Quadrant.
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