Artificial Intelligence
Category: Serverless
Increase your content reach with automated document-to-speech conversion using Amazon AI services
Reading the printed word opens up a world of information, imagination, and creativity. However, scanned books and documents may be difficult for people with vision impairment and learning disabilities to consume. In addition, some people prefer to listen to text-based content versus reading it. A document-to-speech solution extends the reach of digital content by giving […]
Reduce costs and complexity of ML preprocessing with Amazon S3 Object Lambda
Amazon Simple Storage Service (Amazon S3) is an object storage service that offers industry-leading scalability, data availability, security, and performance. Often, customers have objects in S3 buckets that need further processing to be used effectively by consuming applications. Data engineers must support these application-specific data views with trade-offs between persisting derived copies or transforming data […]
Machine learning inference at scale using AWS serverless
With the growing adoption of Machine Learning (ML) across industries, there is an increasing demand for faster and easier ways to run ML inference at scale. ML use cases, such as manufacturing defect detection, demand forecasting, fraud surveillance, and many others, involve tens or thousands of datasets, including images, videos, files, documents, and other artifacts. […]
Using container images to run TensorFlow models in AWS Lambda
TensorFlow is an open-source machine learning (ML) library widely used to develop neural networks and ML models. Those models are usually trained on multiple GPU instances to speed up training, resulting in expensive training time and model sizes up to a few gigabytes. After they’re trained, these models are deployed in production to produce inferences. […]