Artificial Intelligence
Discovering and indexing podcast episodes using Amazon Transcribe and Amazon Comprehend
September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. As an avid podcast listener, I had always wished for an easy way to glimpse at the transcript of an episode to decide whether I should add it to my playlist (not all episode abstracts are equally helpful!). Another challenge […]
New Engen improves customer acquisition marketing campaigns using Amazon Rekognition
New Engen is a cross-channel performance marketing technology company that uses its proprietary software products and creative solutions to help their clients acquire new customers. New Engen integrates marketing, AI, and creative expertise to provide a one-stop solution that helps their customers optimize their digital marketing budget across Facebook, Google, Instagram, Snap, and more. Improving […]
Save time and money by filtering faces during indexing with Amazon Rekognition
Amazon Rekognition is a deep-learning-based image and video analysis service that can identify objects, people, text, scenes, and activities, as well as detect any inappropriate content. Using the new Amazon Rekognition face filtering feature, you can now have control over the quality and quantity of faces you can index for face recognition. This saves on […]
Training models with unequal economic error costs using Amazon SageMaker
Many companies are turning to machine learning (ML) to improve customer and business outcomes. They use the power of ML models built over “big data” to identify patterns and find correlations. Then they can identify appropriate approaches or predict likely outcomes based on data about new instances. However, as ML models are approximations of the […]
Limit access to a Jupyter notebook instance by IP address
For increased security, Amazon SageMaker customers can now limit access to a notebook instance to a range of IP addresses. IP address filtering helps when you need to allow only a subset of traffic to access your notebook instances. You might want to limit notebook access in the following ways: To comply with security and compliance requirements […]
Meet Zhiyu—the first Mandarin Chinese voice for Amazon Polly
Amazon Polly is a fully managed service that turns text into lifelike speech. We’re excited to announce the support for Mandarin Chinese in Amazon Polly. Zhiyu is a clear, bright, and natural-sounding female voice. Let’s hear Zhiyu introduce herself. Click the play button to listen now: Listen now Voiced by Amazon Polly Zhiyu introduces herself in […]
Classifying high-resolution chest x-ray medical images with Amazon SageMaker
Medical image processing is one of the key areas where deep learning is applied to great effect. Typical processing involves classification, detection, and segmentation using various medical image modalities. In this blog post, we outline a method to use the HIPAA Eligible service Amazon SageMaker to train a deep learning model for chest x-ray image […]
Mapillary uses Amazon Rekognition to work towards building parking solutions for US cities
Mapillary is a collaborative street-level imagery platform that allows people and organizations to upload geo-tagged photos, which can then be used by customers to improve their mapping systems or applications. Mapillary uses Amazon Rekognition, a deep learning-based image and video analysis service, to enhance their metadata extraction. By using the DetectText operation from Amazon Rekognition, […]
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 […]
Get started with automated metadata extraction using the AWS Media Analysis Solution
You can easily get started extracting meaningful metadata from your media files by using the Media Analysis Solution on AWS. The Media Analysis Solution provides AWS CloudFormation templates that you can use to start extracting meaningful metadata from your media files within minutes. With a web-based user interface, you can easily upload files and see the metadata that is automatically extracted. This solution uses Amazon Rekognition for facial recognition, Amazon Transcribe to create a transcript, and Amazon Comprehend to run sentiment analysis on the transcript. You can also upload your own images to an Amazon Rekognition collection and train the solution to recognize individuals. In this blog post, we’ll show you step-by step how to launch the solution and upload an image and video. You’ll be able to see firsthand how metadata is seamlessly extracted.








