AWS Cloud Operations Blog
Category: Artificial Intelligence
Building secure HAQM SageMaker access URLs with AWS Service Catalog
Many customers need a secure method to access HAQM 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 HAQM DevOps Guru
HAQM 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 HAQM.com. DevOps Guru continuously analyzes streams of disparate data […]
Analyzing HAQM Lex conversation log data with HAQM 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 HAQM 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 HAQM SageMaker to promote experimentation with data science to unlock new business opportunities and disrupt […]