Category: Artificial Intelligence

With HAQM 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 […]

Launched at AWS re:Invent 2017, HAQM 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 […]

HAQM CodeGuru helps you automate code reviews and improve code quality with recommendations powered by machine learning and automated reasoning. You can use CodeGuru Reviewer to detect potential defects and bugs that are hard to find, and CodeGuru Profiler to fine-tune the performance of your applications based on live data. The service has been generally […]

As a developer, I have been hearing a lot of stories lately about how companies have solved their business problems using machine learning (ML), so one of my goals for 2021 is to learn more about it. For the last few years I have been using artificial intelligence (AI) services such as, HAQM Rekognition, HAQM […]

Update October 29, 2021 – HAQM Lex has recently added new integrations and features. Take a look at the list below for the latest updates and links to documentation for more information. Integration with HAQM Connect – HAQM Connect now supports HAQM Lex V2 APIs in all AWS regions where HAQM Connect is offered, and […]

HAQM CodeGuru is a developer tool that helps you improve your code quality and has two main components: CodeGuru Reviewer uses program analysis and machine learning to detect potential defects that are difficult to find in your code and offers suggestions for improvement. CodeGuru Profiler collects runtime performance data from your live applications, and provides […]

Today, I’m extremely happy to announce the availability of HAQM SageMaker JumpStart, a capability of HAQM SageMaker that accelerates your machine learning workflows with one-click access to popular model collections (also known as “model zoos”), and to end-to-end solutions that solve common use cases. In recent years, machine learning (ML) has proven to be a […]

Today, I’m extremely happy to announce HAQM SageMaker Pipelines, a new capability of HAQM SageMaker that makes it easy for data scientists and engineers to build, automate, and scale end to end machine learning pipelines. Machine learning (ML) is intrinsically experimental and unpredictable in nature. You spend days or weeks exploring and processing data in […]