Category: HAQM Redshift

In this post, we share how we modernized Rocket Companies’ data science solution on AWS to increase the speed to delivery from eight weeks to under one hour, improve operational stability and support by reducing incident tickets by over 99% in 18 months, power 10 million automated data science and AI decisions made daily, and provide a seamless data science development experience.

In this post, we dive into a business use case for a banking institution. We will show you how a financial or business analyst at a bank can easily predict if a customer’s loan will be fully paid, charged off, or current using a machine learning model that is best for the business problem at hand.

In this post, we share how Domo, a cloud-centered data experiences innovator is using HAQM Bedrock to provide a flexible and powerful AI solution.

With the widespread adoption of generative artificial intelligence (AI) solutions, organizations are trying to use these technologies to make their teams more productive. One exciting use case is enabling natural language interactions with relational databases. Rather than writing complex SQL queries, you can describe in plain language what data you want to retrieve or manipulate. […]

With the advent of generative AI solutions, organizations are finding different ways to apply these technologies to gain edge over their competitors. Intelligent applications, powered by advanced foundation models (FMs) trained on huge datasets, can now understand natural language, interpret meaning and intent, and generate contextually relevant and human-like responses. This is fueling innovation across […]

HAQM Redshift is the most popular cloud data warehouse that is used by tens of thousands of customers to analyze exabytes of data every day. Many practitioners are extending these Redshift datasets at scale for machine learning (ML) using HAQM SageMaker, a fully managed ML service, with requirements to develop features offline in a code […]

Last year, we announced the general availability of RStudio on HAQM SageMaker, the industry’s first fully managed RStudio Workbench integrated development environment (IDE) in the cloud. You can quickly launch the familiar RStudio IDE and dial up and down the underlying compute resources without interrupting your work, making it easy to build machine learning (ML) […]

Customers in many different domains tend to work with multiple sources for their data: object-based storage like HAQM Simple Storage Service (HAQM S3), relational databases like HAQM Relational Database Service (HAQM RDS), or data warehouses like HAQM Redshift. Machine learning (ML) practitioners are often driven to work with objects and files instead of databases and […]

July 2024: This post was reviewed and updated for accuracy. HAQM Redshift, a fast, fully managed, widely used cloud data warehouse, natively integrates with HAQM SageMaker for machine learning (ML). Tens of thousands of customers use HAQM Redshift to process exabytes of data every day to power their analytics workloads. Data analysts and database developers […]

You may have tables in your HAQM Redshift data warehouse or in your HAQM Simple Storage Service (HAQM S3) data lake full of records containing customer case notes, product reviews, and social media messages, in many languages. Your task is to identify the products that people are talking about, determine if they’re expressing happy thoughts […]