AWS News Blog
Category: Artificial Intelligence
Amazon Textract Updates: Up to 32% Price Reduction in 8 AWS Regions and Up to 50% Reduction in Asynchronous Job Processing Times
Introduced at AWS re:Invent 2018, Amazon Textract is a machine learning service that automatically extracts text, handwriting and data from scanned documents that goes beyond simple optical character recognition (OCR) to identify, understand, and extract data from forms and tables. In the past few months, we introduced specialized support for processing invoices and receipts and […]
Extract Insights From Customer Conversations with Amazon Transcribe Call Analytics
In 2017, we launched Amazon Transcribe, an automatic speech recognition (ASR) service that makes it easy to add speech-to-text capabilities to any application. Today, I’m very happy to announce the availability of Amazon Transcribe Call Analytics, a new feature that lets you easily extract valuable insights from customer conversations with a single API call. Each […]
Paging Doctor Cloud! Amazon HealthLake Is Now Generally Available
At AWS re:Invent 2020, we previewed Amazon HealthLake, a fully managed, HIPAA-eligible service that allows healthcare and life sciences customers to aggregate their health information from different silos and formats into a structured, centralized AWS data lake, and extract insights from that data with analytics and machine learning (ML). Today, I’m very happy to announce […]
Amazon CodeGuru Reviewer Updates: New Java Detectors and CI/CD Integration with GitHub Actions
Amazon CodeGuru allows you to automate code reviews and improve code quality, and thanks to the new pricing model announced in April you can get started with a lower and fixed monthly rate based on the size of your repository (up to 90% less expensive). CodeGuru Reviewer helps you detect potential defects and bugs that […]
New – AWS BugBust: It’s Game Over for Bugs
Today, we are launching AWS BugBust, the world’s first global challenge to fix one million bugs and reduce technical debt by over $100 million. You might have participated in a bug bash before. Many of the software companies where I’ve worked (including Amazon) run them in the weeks before launching a new product or service. […]
Amazon SageMaker Named as the Outright Leader in Enterprise MLOps Platforms
Over the last few years, Machine Learning (ML) has proven its worth in helping organizations increase efficiency and foster innovation. As ML matures, the focus naturally shifts from experimentation to production. ML processes need to be streamlined, standardized, and automated to build, train, deploy, and manage models in a consistent and reliable way. Perennial IT […]
Amazon Redshift ML Is Now Generally Available – Use SQL to Create Machine Learning Models and Make Predictions from Your Data
With Amazon Redshift, you can use SQL to query and combine exabytes of structured and semi-structured data across your data warehouse, operational databases, and data lake. Now that AQUA (Advanced Query Accelerator) is generally available, you can improve the performance of your queries by up to 10 times with no additional costs and no code […]
Decrease Your Machine Learning Costs with Instance Price Reductions and Savings Plans for Amazon SageMaker
Launched at AWS re:Invent 2017, Amazon SageMaker is a fully-managed service that has already helped tens of thousands of customers quickly build and deploy their machine learning (ML) workflows on AWS. To help them get the most ML bang for their buck, we’ve added a string of cost-optimization services and capabilities, such as Managed Spot […]