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Amazon QuickSight

Amazon QuickSight delivers AI-powered business intelligence within Amazon Quick, unifying enterprise data sources, embedding analytics into applications, and enabling conversational, agentic data analysis with built-in role-based access control and support for FedRAMP, HIPAA, PCI DSS, ISO and SOC compliance.

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5published use cases
4industries
2countries on record
Computer Vision
top AI capability

Evidence mix: High 5 · Medium 0 · Low 0 — bands are computed from each record's evidence signals.

Industry
Country

5 use cases

ManufacturingComputer VisionPredictive Analytics

ŠKODA's MAGIC EYE computer vision system predicts and prevents production line breakdowns

ŠKODA AUTO built MAGIC EYE, a computer-vision predictive maintenance system, using AWS Internet of Things services and in-house technology to move from a reactive to a proactive approach to assembly line breakdowns. Six cameras mounted by a conveyor frame collect nearly 450,000 photos as a car moves through the production line, and 10 artificial neural networks analyze them to detect irregularities such as dirt, loose or cracked bolts, or aluminum track damage, alerting a maintenance operator. The neural networks can recognize 14 defect types and 178 classes, and AWS lists reduced assembly line downtime and increased staff productivity among the benefits.

ŠKODA AUTO· Czech RepublicAmazon S3 · Amazon EC2 · Amazon RDS +1
Life SciencesComputer VisionMachine Learning

Novo Nordisk uses machine learning and computer vision to automate pharmaceutical manufacturing quality checks

Novo Nordisk, a Danish pharmaceutical company that supplies nearly 50 percent of the world's insulin, built an automated ML pipeline on AWS using Amazon SageMaker Pipelines to train, deploy, and monitor computer vision models on edge devices. The system automates previously manual tasks including counting drug cartridges in boxes and detecting bacterial anomalies on agar plates, using a robotic arm, camera rig, and edge inference, with results monitored via an Amazon QuickSight dashboard. The solution deploys ML models at scale to different edge devices, automates quality-assurance tasks, improves time to market, and was successfully repurposed from the cartridge-counting use case to the agar-plate anomaly detection use case with minimal changes.

Novo Nordisk· DenmarkAmazon SageMaker · Amazon S3 · AWS IoT Greengrass +1
Life SciencesDocument IntelligenceRetrieval-Augmented GenerationAgentic AI

Novartis: Accelerating Drug Development with AI-Powered Clinical Trial Transformation

Novartis partnered with AWS Professional Services and Accenture to modernize their drug development infrastructure and integrate AI across clinical trials, with the goal of reducing trial development cycles by at least six months. The initiative built a GXP-compliant data mesh platform on AWS with Databricks for processing, enabling AI use cases including protocol generation and an intelligent decision system (digital twin). Early results from the patient safety domain showed 72% query speed improvements, 60% storage cost reduction, and 160+ hours of manual work eliminated. The protocol generation use case achieved 83-87% acceleration in producing compliant protocols.

NovartisAmazon Web Services (AWS) · Databricks · Amazon S3 +8