AWS Management & Governance Blog

Category: Artificial Intelligence

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 […]

Read More
Analyzing Amazon Lex conversation log data with Grafana

Analyzing Amazon Lex conversation log data with Grafana

To support business and internal processes, organizations are increasing their use of conversational interfaces. They offer opportunities for more availability, improved service levels, and reduced costs. As these conversational services become more important, so, too, does the need to monitor performance and effectiveness of these interfaces with analytics and dashboards. This analysis, in turn, is […]

Read More
Amazon DevOps Guru sends insights to Amazon SNS and Amazon SNS forwards the insights to PagerDuty

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 […]

Read More

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 […]

Read More

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 […]

Read More

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, […]

Read More