Tag: Advanced (300)
Use Amazon SageMaker Canvas for exploratory data analysis
Exploratory data analysis (EDA) is a common task performed by business analysts to discover patterns, understand relationships, validate assumptions, and identify anomalies in their...
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Customize business rules for intelligent document processing with human review and BI visualization
A massive amount of business documents are processed daily across industries. Many of these documents are paper-based, scanned into your system as images, or...
Automate classification of IT service requests with an Amazon Comprehend custom classifier
Enterprises often deal with large volumes of IT service requests. Traditionally, the burden is put on the requester to choose the correct category for...
Detect fraud in mobile-oriented businesses using GrabDefence device intelligence and Amazon Fraud Detector
In this post, we present a solution that combines rich mobile device intelligence with customized machine learning (ML) modeling to help you catch fraudsters...
Metrics for evaluating content moderation in Amazon Rekognition and other content moderation services
Content moderation is the process of screening and monitoring user-generated content online. To provide a safe environment for both users and brands, platforms must...
Reduce cost and development time with Amazon SageMaker Pipelines local mode
Creating robust and reusable machine learning (ML) pipelines can be a complex and time-consuming process. Developers usually test their processing and training scripts locally,...
Achieve four times higher ML inference throughput at three times lower cost per inference with Amazon EC2 G5 instances for NLP and CV PyTorch...
Amazon Elastic Compute Cloud (Amazon EC2) G5 instances are the first and only instances in the cloud to feature NVIDIA A10G Tensor Core GPUs,...
Build flexible and scalable distributed training architectures using Kubeflow on AWS and Amazon SageMaker
In this post, we demonstrate how Kubeflow on AWS (an AWS-specific distribution of Kubeflow) used with AWS Deep Learning Containers and Amazon Elastic File...
Build an AI-powered virtual agent for Genesys Cloud using QnABot and Amazon Lex
The rise of artificial intelligence technologies enables organizations to adopt and improve self-service capabilities in contact center operations to create a more proactive, timely,...
Provision and manage ML environments with Amazon SageMaker Canvas using AWS CDK and AWS Service Catalog
The proliferation of machine learning (ML) across a wide range of use cases is becoming prevalent in every industry. However, this outpaces the increase...
How Amazon Search reduced ML inference costs by 85% with AWS Inferentia
Amazon’s product search engine indexes billions of products, serves hundreds of millions of customers worldwide, and is one of the most heavily used services...
Improve transcription accuracy of customer-agent calls with custom vocabulary in Amazon Transcribe
Many AWS customers have been successfully using Amazon Transcribe to accurately, efficiently, and automatically convert their customer audio conversations to text, and extract actionable...
Create a batch recommendation pipeline using Amazon Personalize with no code
With personalized content more likely to drive customer engagement, businesses continuously seek to provide tailored content based on their customer’s profile and behavior. Recommendation...
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