Real-time insight is critical when it comes to building trading strategies. Any delay in data insight can cost lot of money to the traders. Often, you need to look at historical market trends to predict future trading pattern and make the right bid. More the historical data you analyze, better Read more…
This is the first in a two-part blog series on how Tyson Foods, Inc., is utilizing Amazon SageMaker and AWS Panorama to automate industrial processes at their meat packing plants by bringing the benefits of artificial intelligence applications at the edge. In part one, we discuss an inventory counting application Read more…
This is a guest post by Jihye Park, a Data Scientist at MUSINSA. MUSINSA is one of the largest online fashion platforms in South Korea, serving 8.4M customers and selling 6,000 fashion brands. Our monthly user traffic reaches 4M, and over 90% of our demographics consist of teens and young Read more…
For a long time, industrial control systems were the heart of the manufacturing process which allows collecting, processing, and acting on data from the shop floor. Process manufacturers used a distributed control system (DCS) to do the automated control and operation of an industrial process or plant. With the convergence Read more…
With the advent of artificial intelligence (AI) and machine learning (ML), customers and the general public have become increasingly aware of their privacy, as well as the value that it holds in today’s data-driven world. Enterprises are actively seeking out and marketing privacy-first solutions, especially in the Computer Vision (CV) Read more…
In this blog post, you’ll learn about an automated process for disabling or enabling selected AWS Security Hub controls across multiple accounts and multiple regions. You may already know how to disable Security Hub controls through the Security Hub console, or using the Security Hub update-standards-control API. However, these methods Read more…
This post is written by Matthew Nightingale, Associate Solutions Architect. Traditional methods of performing address validation on geospatial datasets can be expensive and time consuming. Using Amazon Location Service with AWS Lambda in a serverless data processing pipeline, you may achieve significant performance improvements and cost savings on address validation Read more…
Amazon SageMaker Serverless Inference (Preview) was recently announced at re:Invent 2021 as a new model hosting feature that lets customers serve model predictions without having to explicitly provision compute instances or configure scaling policies to handle traffic variations. Serverless Inference is a new deployment capability that complements SageMaker’s existing options Read more…
As enterprises start migrating to the cloud, one challenge they will face is framing and implementing a holistic monitoring strategy for the hybrid environment. In our experience, there are three main reasons for this. First and foremost, an enterprise generally has multiple monitoring tools in place, but when the enterprises Read more…
Welcome to the 15th edition of the AWS Serverless ICYMI (in case you missed it) quarterly recap. Every quarter, we share all of the most recent product launches, feature enhancements, blog posts, webinars, Twitch live streams, and other interesting things that you might have missed! In case you missed our Read more…