AWS Machine Learning Blog

Category: Artificial Intelligence

How to approach conversation design with Amazon Lex: Building and testing (Part 3)

In parts one and two of our guide to conversation design with Amazon Lex, we discussed how to gather requirements for your conversational AI application and draft conversational flows. In this post, we help you bring all the pieces together. You’ll learn how draft an interaction model to deliver natural conversational experiences, and how to […]

Deploying ML models using SageMaker Serverless Inference

Amazon SageMaker Serverless Inference was recently announced at re:Invent 2021 as a new model hosting feature that lets customers serve model predictions without having to explicitly provision compute instances or configure scaling policies to handle traffic variations. Serverless Inference is a new deployment capability that complements SageMaker’s existing options for deployment that include: SageMaker Real-Time […]

Build and visualize a real-time fraud prevention system using Amazon Fraud Detector

October 2023: This post was reviewed and updated with an updated AWS CloudFormation template. August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. We’re living in a world of everything-as-an-online-service. Service providers from almost every industry […]

Take advantage of advanced deployment strategies using Amazon SageMaker deployment guardrails

Deployment guardrails in Amazon SageMaker provide a new set of deployment capabilities allowing you to implement advanced deployment strategies that minimize risk when deploying new model versions on SageMaker hosting. Depending on your use case, you can use a variety of deployment strategies to release new model versions. Each of these strategies relies on a […]

Train graph neural nets for millions of proteins on Amazon SageMaker and Amazon DocumentDB (with MongoDB compatibility)

There are over 180,000 unique proteins with 3D structures determined, with tens of thousands new structures resolved every year. This is only a small fraction of the 200 million known proteins with distinctive sequences. Recent deep learning algorithms such as AlphaFold can accurately predict 3D structures of proteins using their sequences, which help scale the […]

Identity verification using Amazon Rekognition

In-person user identity verification is slow to scale, costly, and high friction for users. Machine learning (ML) powered facial recognition technology can enable online user identity verification. Amazon Rekognition offers pre-trained facial recognition capabilities that you can quickly add to your user onboarding and authentication workflows to verify opted-in users’ identities online. No ML expertise […]

Hybrid ML

Introducing hybrid machine learning

Gartner predicts that by the end of 2024, 75% of enterprises will shift from piloting to operationalizing artificial intelligence (AI), and the vast majority of workloads will end up in the cloud in the long run. For some enterprises that plan to migrate to the cloud, the complexity, magnitude, and length of migrations may be […]

Use deep learning frameworks natively in Amazon SageMaker Processing

Until recently, customers who wanted to use a deep learning (DL) framework with Amazon SageMaker Processing faced increased complexity compared to those using scikit-learn or Apache Spark. This post shows you how SageMaker Processing has simplified running machine learning (ML) preprocessing and postprocessing tasks with popular frameworks such as PyTorch, TensorFlow, Hugging Face, MXNet, and […]

Live call analytics and agent assist for your contact center with Amazon language AI services

Update October 2023 (v0.8.7) – In this release: Generative transcript summarization and LLM powered Agent Assist are now enabled by default, and now use Amazon Bedrock by default. Generative transcript summarization now generates multiple call insights and can be easily extended and customized. The Agent Assist bot now offers on-demand in-progress call summarization to quickly […]

Post call analytics for your contact center with Amazon language AI services

January 2024 (v0.7.5) – This latest release includes support for larger prompts by storing them in DynamoDB instead of SSM Parameter Store. December 2023 (v0.7.4) – This release includes the ability to upload call recordings directly from the UI, and a status indicator field showing call recordings that are being processed. This release also includes […]