Amazon Rekognition vs. Amazon SageMaker: Choosing the right service for your image recognition and classification projects
This blog explores and compares Amazon Rekognition and Amazon SageMaker to discover the right fit for your business needs.
In AI We Trust – Part 2 (Retail Use Cases)
This blog applies the previously introduced machine learning maturity assessment framework to example use cases in the retail industry.
Building an image classification model using Amazon Sagemaker
In this article, Fabio Ramos explains how you can create an image classification model and use it to infer new images using Amazon Sagemaker.
Accelerate ML Application Development in AWS
In this article, JO Reyes explains how one can accelerate application development in AWS using high level AI services like Amazon Rekognition.
NestJS – Unit and E2E testing
In this blog, Rohith Poyyeri implements testing in a previously established NestJS application to achieve a higher level of confidence.
Notification of Unencrypted AWS Resources
In this blog, Sampreeth Kumar walks through setting up a Lambda function to detect encryption in S3 buckets on a 24-hour cycle.
Create a Backend Admin Dashboard and REST APIs without Coding in 5 minutes
In this blog, Abhinav Goel explores creating a back-end admin dashboard and Rest APIs using Strapi, an open source headless CMS in JavaScript.
Lambda Event Filtering
Learn more about AWS Lambda event filtering and why it is important, including steps to set it up and the opportunity for cost optimisation.
Snowflake vs Databricks: Which Platform is Best for Your Data Needs?
In this post, Roopa Venkatesh compares Snowflake and Databricks data analytics platforms to uncover the right fit for your business.
Getting the most out of the AWS Melbourne Region
In this post, Gokul Venugopal discusses the benefits the AWS Melbourne Region can provide for local businesses, including lower latency, data sovereignty, improved disaster recovery, and more.