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As we reflect on the impactful events of Amazon Web Services (AWS) re:Invent 2023, it’s clear that this year’s conference, which took place in Las Vegas, Nevada, was a nexus of innovation and forward-thinking, especially for the automotive and manufacturing Continue reading Recap of AWS re:Invent 2023 for the Automotive and Manufacturing Industry
The energy at re:Invent 2023 was on another level, especially for the Retail and Consumer Packaged Goods (CPG) sectors. Packed with exciting service announcements, particularly around generative artificial intelligence (AI), leaders unveiled solutions and strategies that are poised to revolutionize Continue reading AWS re:Invent 2023 Recap: The Most Important Retail and Consumer Packaged Goods Announcements to Know About
AWS Fault Injection Service (FIS) helps you to put chaos engineering into practice at scale. Today we are launching new scenarios that will let you demonstrate that your applications perform as intended if an AWS Availability Zone experiences a full Continue reading Use AWS Fault Injection Service to demonstrate multi-region and multi-AZ application resilience
Today we’re launching zonal autoshift, a new capability of Amazon Route 53 Application Recovery Controller that you can enable to automatically and safely shift your workload’s traffic away from an Availability Zone when AWS identifies a potential failure affecting that Continue reading Zonal autoshift – Automatically shift your traffic away from Availability Zones when we detect potential issues
Today, I’m happy to share the integrated development environment (IDE) extension for AWS Application Composer. Now you can use AWS Application Composer directly in your IDE to visually build modern applications and iteratively develop your infrastructure as code templates with Continue reading IDE extension for AWS Application Composer enhances visual modern applications development with AI-generated IaC
Today, we are announcing an improved Amazon SageMaker Studio experience! The new SageMaker Studio web-based interface loads faster and provides consistent access to your preferred integrated development environment (IDE) and SageMaker resources and tooling, irrespective of your IDE choice. In Continue reading Amazon SageMaker Studio adds web-based interface, Code Editor, flexible workspaces, and streamlines user onboarding
Today, Amazon Inspector adds three new capabilities to increase the realm of possibilities when scanning your workloads for software vulnerabilities: ShareTweetPostPin It!
One of the challenges with distributed systems is that they are made up of many interdependent services, which add a degree of complexity when you are trying to monitor their performance. Determining which services and APIs are experiencing high latencies Continue reading Amazon CloudWatch Application Signals for automatic instrumentation of your applications (preview)
Today, we are announcing the general availability of myApplications supporting application operations, a new set of capabilities that help you get started with your applications on AWS, operate them with less effort, and move faster at scale. With myApplication in Continue reading New myApplications in the AWS Management Console simplifies managing your application resources
Today we are excited to announce the general availability of SaaS Quick Launch, a new feature in AWS Marketplace that makes it easy and secure to deploy SaaS products. Before SaaS Quick Launch, configuring and launching third-party SaaS products could Continue reading Easily deploy SaaS products with new Quick Launch in AWS Marketplace
I’m happy to share that Amazon SageMaker now comes with an improved model deployment experience to help you deploy traditional machine learning (ML) models and foundation models (FMs) faster. As a data scientist or ML practitioner, you can now use Continue reading Package and deploy models faster with new tools and guided workflows in Amazon SageMaker
Today, I’m happy to introduce the ability to use natural language instructions in Amazon SageMaker Canvas to explore, visualize, and transform data for machine learning (ML). SageMaker Canvas now supports using foundation model-(FM) powered natural language instructions to complement its Continue reading Use natural language to explore and prepare data with a new capability of Amazon SageMaker Canvas
Today, we are announcing new Amazon SageMaker inference capabilities that can help you optimize deployment costs and reduce latency. With the new inference capabilities, you can deploy one or more foundation models (FMs) on the same SageMaker endpoint and control Continue reading Amazon SageMaker adds new inference capabilities to help reduce foundation model deployment costs and latency
Today, I’m excited to introduce a new capability in Amazon SageMaker Canvas to use foundation models (FMs) from Amazon Bedrock and Amazon SageMaker Jumpstart through a no-code experience. This new capability makes it easier for you to evaluate and generate Continue reading Leverage foundation models for business analysis at scale with Amazon SageMaker Canvas
You can use the new OR1 instances to create Amazon OpenSearch Service clusters that use Amazon Simple Storage Service (Amazon S3) for primary storage. You can ingest, store, index, and access just about any imaginable amount of data, while also Continue reading Introducing highly durable Amazon OpenSearch Service clusters with 30% price/performance improvement
I’m happy to share that Amazon SageMaker Clarify now supports foundation model (FM) evaluation (preview). As a data scientist or machine learning (ML) engineer, you can now use SageMaker Clarify to evaluate, compare, and select FMs in minutes based on Continue reading Amazon SageMaker Clarify makes it easier to evaluate and select foundation models (preview)
I’m happy to share that you can now evaluate, compare, and select the best foundation models (FMs) for your use case in Amazon Bedrock. Model Evaluation on Amazon Bedrock is available today in preview. Amazon Bedrock offers a choice of Continue reading Evaluate, compare, and select the best foundation models for your use case in Amazon Bedrock (preview)
Amazon Redshift puts artificial intelligence (AI) at your service to optimize efficiencies and make you more productive with two new capabilities that we are launching in preview today. First, Amazon Redshift Serverless becomes smarter. It scales capacity proactively and automatically Continue reading Amazon Redshift adds new AI capabilities, including Amazon Q, to boost efficiency and productivity
Starting today, you can use AWS Clean Rooms Differential Privacy (preview) to help protect the privacy of your users with mathematically backed and intuitive controls in a few steps. As a fully managed capability of AWS Clean Rooms, no prior Continue reading AWS Clean Rooms Differential Privacy enhances privacy protection of your users data (preview)
Today, we’re introducing AWS Clean Rooms ML (preview), a new capability of AWS Clean Rooms that helps you and your partners apply machine learning (ML) models on your collective data without copying or sharing raw data with each other. With this new Continue reading AWS Clean Rooms ML helps customers and partners apply ML models without sharing raw data (preview)