Amazon Lex Introduces an Enhanced Console Experience and New V2 APIs

Today, the Amazon Lex team has released a new console experience that makes it easier to build, deploy, and manage conversational experiences. Along with the new console, we have also introduced new V2 APIs, including continuous streaming capability. These improvements allow you to reach new audiences, have more natural conversations, and develop and iterate faster. Read more about Amazon Lex Introduces an Enhanced Console Experience and New V2 APIs[…]

New for Amazon CodeGuru – Python Support, Security Detectors, and Memory Profiling

Amazon 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 Read more about New for Amazon CodeGuru – Python Support, Security Detectors, and Memory Profiling[…]

Amazon SageMaker JumpStart Simplifies Access to Pre-built Models and Machine Learning Solutions

Today, I’m extremely happy to announce the availability of Amazon SageMaker JumpStart, a capability of Amazon 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 Read more about Amazon SageMaker JumpStart Simplifies Access to Pre-built Models and Machine Learning Solutions[…]

New – Amazon SageMaker Pipelines Brings DevOps Capabilities to your Machine Learning Projects

Today, I’m extremely happy to announce Amazon SageMaker Pipelines, a new capability of Amazon 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 Read more about New – Amazon SageMaker Pipelines Brings DevOps Capabilities to your Machine Learning Projects[…]

re:Invent 2020 Liveblog: Machine Learning Keynote

Follow along as AWS Chief Evangelist Jeff Barr and Developer Advocates Martin Beeby and Steve Roberts liveblog the first-ever Machine Learning Keynote. Swami Sivasubramanian, VP of Amazon Machine Learning will share the latest developments and launches in Amazon ML/AI, as well as demos of new technology, and insights from customers. Join us here from 7:45-10 Read more about re:Invent 2020 Liveblog: Machine Learning Keynote[…]

Majority of Alexa Now Running on Faster, More Cost-Effective Amazon EC2 Inf1 Instances

Today, we are announcing that the Amazon Alexa team has migrated the vast majority of their GPU-based machine learning inference workloads to Amazon Elastic Compute Cloud (EC2) Inf1 instances, powered by AWS Inferentia. This resulted in 25% lower end-to-end latency, and 30% lower cost compared to GPU-based instances for Alexa’s text-to-speech workloads. The lower latency Read more about Majority of Alexa Now Running on Faster, More Cost-Effective Amazon EC2 Inf1 Instances[…]

Amazon SageMaker Continues to Lead the Way in Machine Learning and Announces up to 18% Lower Prices on GPU Instances

Since 2006, Amazon Web Services (AWS) has been helping millions of customers build and manage their IT workloads. From startups to large enterprises to public sector, organizations of all sizes use our cloud computing services to reach unprecedented levels of security, resiliency, and scalability. Every day, they’re able to experiment, innovate, and deploy to production Read more about Amazon SageMaker Continues to Lead the Way in Machine Learning and Announces up to 18% Lower Prices on GPU Instances[…]

Amazon Transcribe Now Supports Automatic Language Identification

In 2017, we launched Amazon Transcribe, an automatic speech recognition service that makes it easy for developers to add a speech-to-text capability to their applications. Since then, we added support for more languages, enabling customers globally to transcribe audio recordings in 31 languages, including 6 in real-time. A popular use case for Amazon Transcribe is transcribing Read more about Amazon Transcribe Now Supports Automatic Language Identification[…]

AWS announces AWS Contact Center Intelligence solutions

What was announced? We’re announcing the availability of AWS Contact Center Intelligence (CCI) solutions, a combination of services that empowers customers to easily integrate AI into contact centers, made available through AWS Partner Network (APN) partners. AWS CCI has solutions for self-service, live-call analytics & agent assist, and post-call analytics, making it possible for customers Read more about AWS announces AWS Contact Center Intelligence solutions[…]

Amazon ECS Now Supports EC2 Inf1 Instances

As machine learning and deep learning models become more sophisticated, hardware acceleration is increasingly required to deliver fast predictions at high throughput. Today, we’re very happy to announce that AWS customers can now use the Amazon EC2 Inf1 instances on Amazon ECS, for high performance and the lowest prediction cost in the cloud. For a Read more about Amazon ECS Now Supports EC2 Inf1 Instances[…]