Foundation models (FMs) are large machine learning (ML) models trained on a broad spectrum of unlabeled and generalized datasets. FMs, as the name suggests,...
In today's fast-paced world, businesses need to make quick decisions based on real-time data. This is where streaming applications come into play. Streaming applications...
Detecting anomalies in real time from high-throughput streams is key for informing on timely decisions in order to adapt and respond to unexpected scenarios....
Businesses are increasingly using machine learning (ML) to make near-real-time decisions, such as placing an ad, assigning a driver, recommending a product, or even...
This post was co-written by Mahesh Pasupuleti and Gaurav Shah from Poshmark. Poshmark is a leading social marketplace for new and secondhand styles for...
Amazon Kinesis Data Analytics is the easiest way to transform and analyze streaming data in real time using Apache Flink. Customers are already using...
Mark your calendars for November 28 through December 2, 2022 to attend AWS re:Invent in Las Vegas – a learning conference hosted by AWS for the global cloud computing community. To maximize the value of your data, you need to act upon it in real time, instead of waiting for hours, days, or week. AWS […]
Amazon Kinesis Data Analytics is a fully managed service for Apache Flink that reduces the complexity of building, managing, and integrating Apache Flink applications...
Amazon Keyspaces (for Apache Cassandra) is a scalable, highly available, and managed Apache Cassandra–compatible database service. With Amazon Keyspaces you don’t have to provision,...
