Predictive Maintenance
For the past 100 years, Novo Nordisk has developed innovative products to treat chronic diseases like diabetes, endocrine disorders, and rare blood conditions.
Reported impact
Novo Nordisk has successfully built an automated pipeline to deploy ML models at scale to different edge devices. The company is turning the cartridge-counting proof of concept into a production-grade solution and will continue to build the proof of concept for its agar plate use case.
Novo Nordisk A/S (Novo Nordisk) supplies nearly 50 percent of the world's insulin. Digital technologies are critical to optimizing the company's manufacturing operations, enhancing quality, improving yield, and decreasing costs. To this end, Novo Nordisk is using computer vision combined with machine learning (ML) to automate key tasks on manufacturing lines, like cartridge counting and anomaly detection for agar plates, to reduce manual labor. On Amazon Web Services (AWS), Novo Nordisk has created a prototyping solution that effectively trains, deploys, and monitors its ML models and manages the datasets resulting from the pipelines. Alongside the AWS team, the company has built a workflow where a robotic arm places a box full of drug cartridges on a platform; a camera rig takes images of the box; ML inference is performed using an edge device; and the final results are displayed on a dashboard powered by Amazon QuickSight , which provides unified business...
On AWS, Novo Nordisk created an automated ML pipeline that covers all the steps involved in the ML development process, from deployment to monitoring, while optimizing for scalability, customization, cost, and traceability. It used Amazon SageMaker Pipelines , the first purpose-built continuous integration and continuous delivery service for ML, to create each specific step in the pipeline and combine them to form a complete, interconnected solution. The pipeline used prelabeled images stored in Amazon Simple Storage Service (Amazon S3)—an industry-leading object storage
"They were not interconnected, so this process could become quite difficult, especially when we had to deploy the models at scale and maintain them in production." The team chose to migrate because it could use AWS services to create a...
Alongside the AWS team, the company has built a workflow where a robotic arm places a box full of drug cartridges on a platform; a camera rig takes images of the box; ML inference is performed using an edge device; and the final results...
More than 34 million patients use its diabetes-care products globally, and the company constantly seeks new digital technologies to optimize its processes for the benefit of its customers.
Novo Nordisk entered into a 6-week prototyping engagement with the AWS team to train and deploy an ML model that uses computer vision to count the number of drug cartridges in a box—a task that it previously performed manually and was time...
On Amazon Web Services (AWS), Novo Nordisk has created a prototyping solution that effectively trains, deploys, and monitors its ML models and manages the datasets resulting from the pipelines.
To this end, Novo Nordisk is using computer vision combined with machine learning (ML) to automate key tasks on manufacturing lines, like cartridge counting and anomaly detection for agar plates, to reduce manual labor.
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Scoring methodology
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Traceability
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