AWS FeedBest practices in customer service automation Chatbots, virtual assistants, and Interactive Voice Response (IVR) systems are key components of successful customer service strategies. We had the pleasure of hearing from three AWS Contact Center Intelligence (AWS CCI) Partners as part of our Best Practices in Customer Service Automation webinar, who provided valuable insights and…
AWS FeedBuilding fine-grained authorization using Amazon Cognito, API Gateway, and IAM Authorizing functionality of an application based on group membership is a best practice. If you’re building APIs with Amazon API Gateway and you need fine-grained access control for your users, you can use Amazon Cognito. Amazon Cognito allows you to use groups to create…
AWS FeedBuilding a Serverless Outbreak Management Solution with AWS Data Lab This post was co-written by Dhruba Mondal and Shhalu Mittal of Erickson Senior Living and Rielah De Jesus Erickson Senior Living is an owner, manager, and developer of retirement communities in the United States. We provide independent living, assisted living, and memory and skilled…
AWS FeedManage Amazon Keyspaces (for Apache Cassandra) service quotas through the Service Quotas console Now, you can manage service quotas for Amazon Keyspaces (for Apache Cassandra), a scalable, highly available, and fully managed Apache Cassandra–compatible database service, through the Service Quotas console.
AWS FeedSimplify incoming data ingestion with dynamic parameterized datasets in AWS Glue DataBrew When data analysts and data scientists prepare data for analysis, they often rely on periodically generated data produced by upstream services, such as labeling datasets from Amazon SageMaker Ground Truth or Cost and Usage Reports from AWS Billing and Cost Management. Alternatively,…
AWS FeedAutomate feature engineering pipelines with Amazon SageMaker The process of extracting, cleaning, manipulating, and encoding data from raw sources and preparing it to be consumed by machine learning (ML) algorithms is an important, expensive, and time-consuming part of data science. Managing these data pipelines for either training or inference is a challenge for data…