Deploying AWS Lambda layers automatically across multiple Regions

By Dustin Ward

AWS FeedDeploying AWS Lambda layers automatically across multiple Regions This post is written by Ben Freiberg, Solutions Architect, and Markus Ziller, Solutions Architect. Many developers import libraries and dependencies into their AWS Lambda functions. These dependencies can be zipped and uploaded as part of the build and deployment process but it’s often easier to use Lambda…

Amazon Rekognition Custom Labels now offers an enhanced experience to train computer vision models more easily

By Dustin Ward

AWS FeedAmazon Rekognition Custom Labels now offers an enhanced experience to train computer vision models more easily Amazon Rekognition Custom Labels is an automated machine learning (AutoML) service that allows you to build custom computer vision models to detect objects and scenes specific to your business needs without the need of in-depth machine learning expertise.…

Using Databricks SQL on Photon to Power Your AWS Lake House

By Dustin Ward

AWS FeedUsing Databricks SQL on Photon to Power Your AWS Lake House By Volker Tjaden, Partner Solutions Architect and APN Ambassador – Databricks Databricks, an AWS Partner with the Data and Analytics Competency, recently released Databricks SQL, a dedicated workspace for data analysts. It comprises a native SQL editor, drag-and-drop dashboards, and built-in connectors for…

Accelerate data preparation using Amazon SageMaker Data Wrangler for diabetic patient readmission prediction

By Dustin Ward

AWS FeedAccelerate data preparation using Amazon SageMaker Data Wrangler for diabetic patient readmission prediction Patient readmission to hospital after prior visits for the same disease results in an additional burden on healthcare providers, the health system, and patients. Machine learning (ML) models, if built and trained properly, can help understand reasons for readmission, and predict…