Amazon Web Services FeedUsing serverless backends to iterate quickly on web apps – part 2 This series is about building flexible solutions that can adapt as user requirements change. One of the challenges of building modern web applications is that requirements can change quickly. This is especially true for new applications that are finding their…
Amazon Web Services FeedAmazon Transcribe now supports speaker labeling for streaming transcription Amazon Transcribe now supports speaker labeling for streaming transcription. Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for you to convert speech-to-text. In live audio transcription, each stream of audio may contain multiple speakers. Now you can conveniently…
Amazon Web Services FeedImplementing SAML AuthN for Amazon EMR Using Okta and Column-Level AuthZ with AWS Lake Formation By Rajarao Vijjapu, Data Architect – Big Data, Analytics and AI/ML at AWSBy Kiran Erra, Data Architect – Big Data, Analytics and AI/ML at AWSBy Unni Ravindranathan – Director of Product Management, Okta Integration Network, Okta As…
Amazon Web Services FeedRelevance tuning with Amazon Kendra Amazon Kendra is a highly accurate and easy-to-use enterprise search service powered by machine learning (ML). As your users begin to perform searches using Kendra, you can fine-tune which search results they receive. For example, you might want to prioritize results from certain data sources that are…
Amazon Web Services FeedAWS Firewall Manager now supports security groups on Application Load Balancers and Classic Load Balancers AWS Firewall Manager now supports security groups on Application Load Balancers and Classic Load Balancers, allowing you to centrally configure and audit security groups associated with these resource types, across multiple accounts in your organization. Firewall Manager…
Amazon Web Services FeedField Notes: Anonymizing Personal Data from Connected Cars Using Amazon Rekognition Cameras mounted in connected cars may collect a variety of video data. Organizations may need to redact the personal information (e.g. human faces and automobile license plates) contained in the collected video data in order to protect individuals’ privacy rights and,…