AWS Cloud Operations & Migrations Blog
Category: Artificial Intelligence
How managed service providers can use AWS Control Tower to provide services
AWS Control Tower is a managed AWS service that automates the creation of a multi-account AWS environment based upon the AWS Well-Architected Framework. It builds the environment using AWS best practices for security and management services. In this blog post, we’ll show how a managed service provider can use AWS Control Tower and AWS Service […]
Building secure Amazon SageMaker access URLs with AWS Service Catalog
Many customers need a secure method to access Amazon SageMaker notebooks within their private network without logging in to the AWS console, or using the AWS CLI/SDKs. This may be desired for enhanced security or to provide an easier self-service path for data scientists. In this blog post, we show you a how to connect […]
Deliver ML-powered operational insights to your on-call teams via PagerDuty with Amazon DevOps Guru
Amazon DevOps Guru, now in preview, is an ML-powered cloud operations service that assists you in improving application availability. It’s easy to set up and use, and leverages machine learning models informed by years of operational expertise in building, scaling, and maintaining highly available applications at Amazon.com. DevOps Guru continuously analyzes streams of disparate data […]
Analyzing Amazon Lex conversation log data with Amazon CloudWatch Insights
Conversational interfaces like chatbots have become an important channel for brands to communicate with their customers, partners, and employees. They help with faster service, 24/7 availability, and reduced service costs. By monitoring conversations between your customers and the bot, you can gain insights into user interactions, trends, and missed utterances. The additional insights will help […]
Enable self-service, secured data science using Amazon SageMaker notebooks and AWS Service Catalog
by Sanjay Garje and Vebhhav (Veb) Singh Enterprises of all sizes are moving to the AWS Cloud. We hear from leadership of those enterprise teams that they are looking to provide a safe, cost-governed way to provide easy access to Amazon SageMaker to promote experimentation with data science to unlock new business opportunities and disrupt […]
Use AWS Service Catalog to build a custom catalog of products from AWS Marketplace
Some AWS customers I work with have dedicated analytics/AI research teams who use AWS infrastructure to run their own code or use products from the AWS Marketplace to perform computations. Typically, the AI research team deploys multiple solutions. They bundle their own home-grown solutions into an AWS CloudFormation template along with some AWS Marketplace products, […]