AWS Machine Learning Blog
Category: Analytics
Building a visual search application with HAQM SageMaker and HAQM ES
September 8, 2021: HAQM Elasticsearch Service has been renamed to HAQM OpenSearch Service. See details. Sometimes it’s hard to find the right words to describe what you’re looking for. As the adage goes, “A picture is worth a thousand words.” Often, it’s easier to show a physical example or image than to try to describe […]
Detecting and visualizing telecom network outages from tweets with HAQM Comprehend
In today’s world, social media has become a place where customers share their experiences with services that they consume. Every telecom provider wants to have the ability to understand their customer pain points as soon as possible and to do this carriers frequently establish a social media team within their NOC (network operation center). This […]
Visualizing HAQM SageMaker machine learning predictions with HAQM QuickSight
AWS is excited to announce the general availability of HAQM SageMaker integration in QuickSight. You can now integrate your own HAQM SageMaker ML models with QuickSight to analyze the augmented data and use it directly in your business intelligence dashboards. As a business analyst, data engineer, or data scientist, you can perform ML inference in […]
Build forecasts and find anomalies from your data with HAQM QuickSight ML Insights
As technology is advancing, your business is collecting more and more data from different sources. After collecting so many data points, it is often challenging to find the right insights to help your business grow. Dashboards are great at visualizing your data, based upon how you built them, but not always great at finding hidden […]
Building a business intelligence dashboard for your HAQM Lex bots
July 2024: The solution in this blog post is now obsolete with the release of HAQM Lex V2. You’ve rolled out a conversational interface powered by HAQM Lex, with a goal of improving the user experience for your customers. Now you want to track how well it’s working. Are your customers finding it helpful? How are […]
Building machine learning workflows with AWS Data Exchange and HAQM SageMaker
Thanks to cloud services such as HAQM SageMaker and AWS Data Exchange, machine learning (ML) is now easier than ever. This post explains how to build a model that predicts restaurant grades of NYC restaurants using AWS Data Exchange and HAQM SageMaker. We use a dataset of 23,372 restaurant inspection grades and scores from AWS […]
Exploring images on social media using HAQM Rekognition and HAQM Athena
If you’re like most companies, you wish to better understand your customers and your brand image. You’d like to track the success of your marketing campaigns, and the topics of interest—or frustration—for your customers. Social media promises to be a rich source of this kind of information, and many companies are beginning to collect, aggregate, […]
Enable smart text analytics using HAQM OpenSearch Service and HAQM Comprehend
September 8, 2021: HAQM Elasticsearch Service has been renamed to HAQM OpenSearch Service. See details. We’re excited to announce an end-to-end solution that leverages natural language processing to analyze and visualize unstructured text in your HAQM OpenSearch Service domain with HAQM Comprehend in the AWS Cloud. You can deploy this solution in minutes with an […]
Exploring data warehouse tables with machine learning and HAQM SageMaker notebooks
Are you a data scientist with data warehouse tables that you’d like to explore in your machine learning (ML) environment? If so, read on. In this post, I show you how to perform exploratory analysis on large datasets stored in your data warehouse and cataloged in your AWS Glue Data Catalog from your HAQM SageMaker […]
Analyze live video at scale in real time using HAQM Kinesis Video Streams and HAQM SageMaker
We are excited to announce the launch of the HAQM Kinesis Video Streams Inference Template (KIT) for HAQM SageMaker. This capability enables customers to attach Kinesis Video streams to HAQM SageMaker endpoints in minutes. This drives real-time inferences without having to use any other libraries or write custom software to integrate the services. The KIT comprises […]