Raghavan Madabusi - Info Services (Page 2)

Raghavan Madabusi

Predict Industrial Equipment Health with AWS SageMaker Algorithms

Data Engineering & Analytics

Predict Industrial Equipment Health with AWS SageMaker Algorithms

Predicting the health of industrial equipment using vibration data from sensors is a common application of machine learning in the industrial sector. By analyzing the vibrations emitted by the equipment, it is possible to identify patterns and anomalies that can indicate the presence of potential problems. One approach to predicting

Build custom models using Amazon Rekognition

Data Engineering & Analytics

Build custom models using Amazon Rekognition

Amazon Rekognition is a machine learning service for image and video analysis. It provides a wide range of features to suit many image and video analysis use cases. Features * Content Moderation: This can be used to detect inappropriate, unwanted or offensive content. * Face compare and search * Face detection and analysis:

Reference Architecture - Serverless Interactive Analytics with Amazon Athena and AWS Glue

Data Engineering & Analytics

Reference Architecture - Serverless Interactive Analytics with Amazon Athena and AWS Glue

Context Serverless applications gained a huge adaption over last few years with AWS offering services like AWS APIGateway, AppSync, Lamda, Amplify etc. We have seen earlier how to develop serverless web applications using Amplify in our previous blog “Developing Serverless applications with AWS Amplify”. In this blog, we discuss how