Manufacturing
Machine learning can support preventive maintenance, quality control and innovative research in the manufacturing sector. Machine learning technology also helps companies improve logistics solutions, including assets, supply chain, and inventory management. For example, large-scale manufacturing company 3M is using AWS Machine Learning to innovate sanding paper. Machine learning algorithms allow 3M researchers to analyze how small changes in shape, size, and orientation improve abrasiveness and durability. These suggestions have implications for the manufacturing process.
Healthcare and Life Sciences Development
The proliferation of wearable sensors and devices has generated a significant amount of health data. Machine learning programs can analyze this information and assist physicians with real-time diagnosis and treatment. Machine learning researchers are developing solutions that detect cancerous tumors and diagnose eye diseases that significantly impact a person’s health metrics. For example, Cambia Health Solutions has used AWS machine learning to support healthcare startups to automate and personalize treatment for pregnant women.
Financial services
Financial machine learning projects improve risk analytics and regulation. Machine learning technology can enable investors to identify new opportunities by analyzing stock market movements, evaluating hedge funds or calibrating financial portfolios. It can also help identify high-risk credit customers and mitigate signs of fraud. Leading financial software provider Intuit uses AWS Machine Learning subsystem, Amazon Textract,to provide more personalized financial management and help end users improve financial health.
Retail
In retail, machine learning can be used to improve customer service, inventory management, incremental sales, and multichannel marketing. For example, Amazon Fulfillment (AFT) was able to reduce infrastructure costs by 40% by using a machine learning model to identify misplaced inventory. This helps fulfill Amazon’s promise of providing customers with easy access to goods and timely delivery of those goods, despite handling millions of deliveries annually.
Multimedia and Entertainment
Companies in the entertainment industry are turning to machine learning to better understand target audiences and deliver immersive, personalized content on demand. Machine learning algorithms are being used to develop trailers and other advertisements, provide consumers with personalized content recommendations, and even optimize production.
For example, Disney uses AWS deep learning to archive its media library. AWS machine learning tools automatically label, describe and sort media content, allowing Disney writers and animators to quickly search for Disney characters and get to know them.