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.…
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…
AWS FeedHands-on walkthrough of the AWS Network Firewall flexible rules engine – Part 2 This blog post is Part 2 of Hands-on walkthrough of the AWS Network Firewall flexible rules engine – Part 1. To recap, AWS Network Firewall is a managed service that offers a flexible rules engine that gives you the ability to…
AWS FeedCreate larger SPICE datasets and refresh data faster in Amazon QuickSight with new SPICE features Amazon QuickSight is a scalable business intelligence (BI) service built for the cloud, which allows insights to be shared with all users in the organization. QuickSight offers SPICE, an in-memory, cloud-native data store that allows end-users to interactively explore…
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…
AWS FeedIngesting PI Historian data to AWS Cloud using AWS IoT Greengrass and PI Web Services In process manufacturing, it’s important to fetch real-time data from data historians to support decisions-based analytics. Most manufacturing use cases require real-time data for early identification and mitigation of manufacturing issues. A limited set of commercial off-the-shelf (COTS) tools…