retail – Noise

Amazon Nova Canvas update: Virtual try-on and style options now available

Matheus Guimaraes — Wed, 02 Jul 2025 18:41:43 +0000

Amazon Nova Canvas has introduced two new AI-powered image generation capabilities: virtual try-on for visualizing clothing on people and style options for applying predefined artistic styles to images, both accessible through the Amazon Bedrock console with straightforward API implementation.

Migrate Amazon Redshift from DC2 to RA3 to accommodate increasing data volumes and analytics demands

Valdiney Gomes — Fri, 09 Aug 2024 15:27:30 +0000

As businesses strive to make informed decisions, the amount of data being generated and required for analysis is growing exponentially. This trend is no exception for Dafiti, an ecommerce company that recognizes the importance of using data to drive strategic decision-making processes. With the ever-increasing volume of data available, Dafiti faces the challenge of effectively managing and extracting valuable insights from this vast pool of information to gain a competitive edge and make data-driven decisions that align with company business objectives. The growing need for storage space to maintain data from over 90 sources and the functionality available on the new Amazon Redshift node types, including managed storage, data sharing, and zero-ETL integrations, led us to migrate from DC2 to RA3 nodes. In this post, we share how we handled the migration process and provide further impressions of our experience.

Case of success: phygital environment monitoring with Zabbix

Aurea Araujo — Thu, 21 Dec 2023 19:51:06 +0000

Learn how monitoring with Zabbix can help retail companies optimize their resources and make smart, data-driven decisions in a phygital environment.

The post Case of success: phygital environment monitoring with Zabbix appeared first on Zabbix Blog.

AWS Clean Rooms ML helps customers and partners apply ML models without sharing raw data (preview)

Donnie Prakoso — Wed, 29 Nov 2023 17:43:40 +0000

Today, we’re introducing AWS Clean Rooms ML (preview), a new capability of AWS Clean Rooms that helps you and your partners apply machine learning (ML) models on your collective data without copying or sharing raw data with each other. With this new capability, you can generate predictive insights using ML models while continuing to protect your sensitive […]

Online Retail Hack

Bruce Schneier — Thu, 09 Nov 2023 12:09:12 +0000

Selling miniature replicas to unsuspecting shoppers:

Online marketplaces sell tiny pink cowboy hats. They also sell miniature pencil sharpeners, palm-size kitchen utensils, scaled-down books and camping chairs so small they evoke the Stonehenge scene in “This Is Spinal Tap.” Many of the minuscule objects aren’t clearly advertised.

[…]

But there is no doubt some online sellers deliberately trick customers into buying smaller and often cheaper-to-produce items, Witcher said. Common tactics include displaying products against a white background rather than in room sets or on models, or photographing items with a perspective that makes them appear bigger than they really are. Dimensions can be hidden deep in the product description, or not included at all...

AWS Clean Rooms Now Generally Available — Collaborate with Your Partners without Sharing Raw Data

Donnie Prakoso — Tue, 21 Mar 2023 19:22:45 +0000

Companies across multiple industries, such as advertising and marketing, retail, consumer packaged goods (CPG), travel and hospitality, media and entertainment, and financial services, increasingly look to supplement their data with data from business partners, to build a complete view of their business. Let’s take a marketing use case as an example. Brands, publishers, and their […]

Build a Virtual Waiting Room with Amazon DynamoDB and AWS Lambda at SeatGeek

Umesh Kalaspurkar — Thu, 29 Jul 2021 15:37:08 +0000

As retail sales, products, and customers continue to expand online, we’ve seen a trend towards releasing products in limited quantities to larger audiences. Demand of these products can be high, due to limited production capacity, venue capacity limits, or product exclusivity. Providers can then experience spikes in transaction volume, especially when multiple event sales occur […]

Increase your e-commerce website reliability using chaos engineering and AWS Fault Injection Simulator

Bastien Leblanc — Wed, 16 Jun 2021 22:42:44 +0000

Customer experience is a key differentiator for retailers, and improving this experience comes through speed and reliability. An e-commerce website is one of the first applications customers use to interact with your brand. For a long time, testing an application has been the only way to battle-test an application before going live. Testing is very […]

Automate thousands of mainframe tests on AWS with the Micro Focus Enterprise Suite

Kevin Yung — Fri, 20 Nov 2020 13:56:44 +0000

We have seen mainframe customers often encounter scalability constraints, and they can’t support their development and test workforce to the scale required to support business requirements. These constraints can lead to delays, reduce product or feature releases, and make them unable to respond to market requirements. Furthermore, limits in capacity and scale often affect the quality of changes deployed, and are linked to unplanned or unexpected downtime in products or services. The conventional approach to address these constraints is to scale up, meaning to increase MIPS/MSU capacity of the mainframe hardware available for development and testing. The cost of this approach, however, is excessively high, and to ensure time to market, you may reject this approach at the expense of quality and functionality. If you’re wrestling with these challenges, this post is written specifically for you.