#AWS_AI - Twitter Hashtag

Diamond Reserve

@TheVaultOfGems

2 days ago

#NFTDigitalOwnerships, #NFTToTheMoon, #AWS_AI, #Move2Earn, #时空证明, #PrivateEquityNFTs, #azure

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晚风丶 @NOJADE100

2 days ago

#ledger, #RealEstateOnChain, #TreasuryBlockchain, #مليونير, #AWS_AI, #3dsmax, #DecentralizedIdentity

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Lucian Fogoros

@fogoros

4 months ago

Steven Blackwell from AWS points to AI adoption speed as the biggest manufacturing challenge. AI is evolving from traditional machine learning to agentic AI, but manufacturers want to take advantage faster. #aws_ai

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Carolina

@CRudinschi

4 months ago

What used to take 2 weeks and 3 or 4 people to coordinate can now happen in 30 seconds. Agentic AI pulling from ERP, MRO, and CMS systems simultaneously to schedule predictive maintenance is a real, measurable value add for manufacturers. #aws_ai

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Lucian Fogoros

@fogoros

4 months ago

Computer vision for quality detection is one of the fastest AI use cases to deliver results on the factory floor. The barrier used to be the size of the training dataset. Amazon Nova is changing that calculus at Hannover Messe 2026. #PhysicalAI #QualityControl #IIoT #aws_ai

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Lucian Fogoros

@fogoros

4 months ago

Georgia-Pacific saved up to $1 million per machine using @AWS machine learning for predictive maintenance on their paper mills. That is the kind of ROI that makes the AI conversation in manufacturing very concrete. #HannoverMesse #ManufacturingAI #AWS #aws_ai

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IIoT World

@IIoT_World

4 months ago

Traditional computer vision needs thousands of images to train a model. Amazon Nova needs just two: a reference image and a production line image. Steven Blackwell of @AWS showed this defect detection approach live at Hannover Messe 2026. #IIoT #HM26 #AI #aws_ai

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Lucian Fogoros

@fogoros

4 months ago

Traditional computer vision needs large image datasets to train defect detection models. Amazon Nova changes that equation by comparing a reference image against a live production line image to identify anomalies, no massive training set required. #PhysicalAI #HM26 #aws_ai @AWS

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Lucian Fogoros

@fogoros

4 months ago

Cloud infrastructure helps manufacturers transform across their whole value chain according to Steven Blackwell at Hannover Messe 2026. Engineering develops products faster, factories drive operational efficiency, and supply chains get optimized beyond the factory walls. #aws_ai

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Carolina

@CRudinschi

5 months ago

Amazon Nova detects manufacturing defects by comparing a reference image with production line images. No large training datasets required. AWS calls this a zero-training approach where manufacturers define defect detection criteria through natural language prompts. #aws_ai

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Lucian Fogoros

@fogoros

5 months ago

Georgia-Pacific built a maintenance chatbot called GP Chat on @AWS that gives engineers instant access to all available knowledge for diagnosing and solving problems on the shop floor. From condition-based monitoring to AI-assisted maintenance, the journey keeps evolving. #aws_ai

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Carolina

@CRudinschi

5 months ago

Traditional defect detection requires building, labeling, and training machine learning models with large image datasets. Amazon Nova skips all that. Manufacturers just define detection criteria through natural language prompts instead. #aws_ai

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Lucian Fogoros

@fogoros

5 months ago

Up to $1M saved per machine. That is what Georgia-Pacific achieved using machine learning for predictive maintenance on their paper mills, built on AWS. Steven Blackwell, @AWS, shared this at Hannover Messe 2026. #AWS #aws_ai

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