AWS Machine Learning Blog
Category: Amazon Athena
Receive notifications for image analysis with Amazon Rekognition Custom Labels and analyze predictions
Amazon Rekognition Custom Labels is a fully managed computer vision service that allows developers to build custom models to classify and identify objects in images that are specific and unique to your business. Rekognition Custom Labels doesn’t require you to have any prior computer vision expertise. You can get started by simply uploading tens of […]
Build a system for catching adverse events in real-time using Amazon SageMaker and Amazon QuickSight
Social media platforms provide a channel of communication for consumers to talk about various products, including the medications they take. For pharmaceutical companies, monitoring and effectively tracking product performance provides customer feedback about the product, which is vital to maintaining and improving patient safety. However, when an unexpected medical occurrence resulting from a pharmaceutical product […]
Translate, redact, and analyze text using SQL functions with Amazon Athena, Amazon Translate, and Amazon Comprehend
October 2021 Update (v0.3.0): Added support for Amazon Comprehend DetectKeyPhrases You have Amazon Simple Storage Service (Amazon S3) buckets full of files containing incoming customer chats, product reviews, and social media feeds, in many languages. Your task is to identify the products that people are talking about, determine if they’re expressing happy thoughts or sad […]
Control and audit data exploration activities with Amazon SageMaker Studio and AWS Lake Formation
May 2024: This post was reviewed and updated to use a new dataset, reflect the updated Studio experience and AWS IAM Identity Center. Certain industries are required to audit all access to their data. This includes auditing exploratory activities performed by data scientists, who usually query data from within machine learning (ML) notebooks. This post […]
Data visualization and anomaly detection using Amazon Athena and Pandas from Amazon SageMaker
Many organizations use Amazon SageMaker for their machine learning (ML) requirements and source data from a data lake stored on Amazon Simple Storage Service (Amazon S3). The petabyte scale source data on Amazon S3 may not always be clean because data lakes ingest data from several source systems, such as like flat files, external feeds, […]
Automating the analysis of multi-speaker audio files using Amazon Transcribe and Amazon Athena
In an effort to drive customer service improvements, many companies record the phone conversations between their customers and call center representatives. These call recordings are typically stored as audio files and processed to uncover insights such as customer sentiment, product or service issues, and agent effectiveness. To provide an accurate analysis of these audio files, […]
Detecting and visualizing telecom network outages from tweets with Amazon 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 […]
Exploring images on social media using Amazon Rekognition and Amazon 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, […]
Shopper Sentiment: Analyzing in-store customer experience
Retailers have been using in-store video to analyze customer behaviors and demographics for many years. Separate systems are commonly used for different tasks. For example, one system would count the number of customers moving through a store, in which part of the store those customers linger and near which products. Another system will hold the store layout, whilst yet […]
Run SQL queries from your SageMaker notebooks using Amazon Athena
The volume, velocity and variety of data has been ever increasing since the advent of the internet. The problem many enterprises face is managing this “big data” and trying to make sense out of it to yield the most desirable outcome. Siloes in enterprises, continuous ingestion of data in numerous formats, and the ever-changing technology […]