AWS News Blog

Category: Artificial Intelligence

New – Amazon DevOps Guru for RDS to Detect, Diagnose, and Resolve Amazon Aurora-Related Issues using ML

Today we are announcing Amazon DevOps Guru for RDS, a new capability for Amazon DevOps Guru. It allows developers to easily detect, diagnose, and resolve performance and operational issues in Amazon Aurora. Hundreds of thousands of customers nowadays are using Amazon Aurora because it is highly available, scalable, and durable. But as applications grow in […]

Announcing Amazon SageMaker Canvas – a Visual, No Code Machine Learning Capability for Business Analysts

As an organization facing business problems and dealing with data on a daily basis, the ability to build systems that can predict business outcomes becomes very important. This ability lets you solve problems and move faster by automating slow processes and embedding intelligence in your IT systems. But how do you make sure that all […]

New – Amazon EC2 G5g Instances Powered by AWS Graviton2 Processors and NVIDIA T4G Tensor Core GPUs

AWS Graviton2 processors are custom-designed by AWS to enable the best price performance in Amazon EC2. Thousands of customers are realizing significant price performance benefits for a wide variety of workloads with Graviton2-based instances. Today, we are announcing the general availability of Amazon EC2 G5g instances that extend Graviton2 price-performance benefits to GPU-based workloads including […]

Amazon CodeGuru Reviewer Introduces Secrets Detector to Identify Hardcoded Secrets and Secure Them with AWS Secrets Manager

Amazon CodeGuru helps you improve code quality and automate code reviews by scanning and profiling your Java and Python applications. CodeGuru Reviewer can detect potential defects and bugs in your code. For example, it suggests improvements regarding security vulnerabilities, resource leaks, concurrency issues, incorrect input validation, and deviation from AWS best practices. One of the […]

Announcing Fully Managed RStudio on Amazon SageMaker for Data Scientists

Two years ago, we introduced Amazon SageMaker Studio, the industry’s first fully integrated development environment (IDE) for machine learning (ML). Amazon SageMaker Studio provides a single, web-based visual interface where you can perform all ML development steps, improving data science team productivity by up to 10 times Many data scientists love the R project, an […]

Scaling Ad Verification with Machine Learning and AWS Inferentia

Amazon Advertising helps companies build their brand and connect with shoppers, through ads shown both within and beyond Amazon’s store, including websites, apps, and streaming TV content in more than 15 countries. Businesses or brands of all sizes including registered sellers, vendors, book vendors, Kindle Direct Publishing (KDP) authors, app developers, and agencies on Amazon […]