AWS FeedArchitecture Monthly Magazine: Agriculture Amazon Web Services (AWS) helps agriculture customers forecast supply and demand and create and maintain responsive, resilient food systems. This edition of Architecture Monthly focuses on the agriculture industry and their role in providing products to the world that are nutritious, healthy, accessible, affordable, and sustainable. We’d like to thank…
AWS FeedDistributed Mask RCNN training with Amazon SageMakerCV Computer vision algorithms are at the core of many deep learning applications. Self-driving cars, security systems, healthcare, logistics, and image processing all incorporate various aspects of computer vision. But despite their ubiquity, training computer vision algorithms, like Mask or Cascade RCNN, is hard. These models employ complex…
AWS FeedConexED uses Amazon QuickSight to empower its institutional partners by unifying and curating powerful insights using engagement data This post was co-written with Michael Gorham, Co-Founder and CTO of ConexED. ConexED is one of the country’s fastest-growing EdTech companies designed specifically for education to enhance the student experience and elevate student success. Founded as…
AWS FeedOpen source hotpatch for Apache Log4j vulnerability At Amazon Web Services (AWS), security remains our top priority. As we addressed the Apache Log4j vulnerability this weekend, I’m pleased to note that our team created and released a hotpatch as an interim mitigation step. This tool may help you mitigate the risk when updating is…
AWS FeedDeveloping a Serverless, Fully-Managed Connected Vehicle Platform with Real-Time Analytics on AWS By Sanchit Jain, Lead Solution Architect, AWS – Quantiphi Quantiphi In a recent customer engagement, Quantiphi developed a serverless, fully-managed connected vehicle platform that enabled real-time analytics on telematics data for one of the world’s leading car-as-a-service companies. This organization has 1.8…
AWS FeedDesigning Netflix This is a guest post by Ankit Sirmorya. Ankit is working as a Machine Learning Lead/Sr. Machine Learning Engineer at Amazon and has led several machine-learning initiatives across the Amazon ecosystem. Ankit has been working on applying machine learning to solve ambiguous business problems and improve customer experience. For instance, he…