AWS Machine Learning Blog

May 2023: Please refer to Automate the deployment of an Amazon Forecast time-series forecasting model blog post for latest practices on forecasting automation. This post demonstrates how to create a serverless Machine Learning Operations (MLOps) pipeline to develop and visualize a forecasting model built with Amazon Forecast. Because Machine Learning (ML) workloads need to scale, […]

Amazon Kendra is an easy-to-use enterprise search service that allows you to add search capabilities to your applications so end-users can easily find information stored in different data sources within your company. This could include invoices, business documents, technical manuals, sales reports, corporate glossaries, internal websites, and more. You can harvest this information from storage […]

May 2023: The functionality described in this blog post, is now natively available in SageMaker Studio, and can be installed as an extension into any Jupyter environment. For more information refer to: Schedule your notebooks from any JupyterLab environment using the Amazon SageMaker JupyterLab extension Operationalize your Amazon SageMaker Studio notebooks as scheduled notebook jobs […]

We are excited to announce the launch of AWS DeepComposer Chartbusters, a monthly challenge where developers can use AWS DeepComposer to create original compositions and compete to top the charts and win prizes. AWS DeepComposer gives developers a creative way to get started with machine learning (ML) and generative AI techniques. With AWS DeepComposer, developers, […]

Fraudulent users and malicious accounts can result in billions of dollars in lost revenue annually for businesses. Although many businesses use rule-based filters to prevent malicious activity in their systems, these filters are often brittle and may not capture the full range of malicious behavior. However, some solutions, such as graph techniques, are especially suited […]

Customer service conversations typically revolve around one or more topics and contain related questions. Answering these questions seamlessly is essential for a good conversational experience. For example, as part of a car rental reservation, you have queries such as, “What’s the charge for an additional driver?” or, “Do you have car seats for kids?” Starting […]

In today’s world, social media has become a place where customers share their experiences with services that they consume. Every telecom provider wants to have the ability to understand their customer pain points as soon as possible and to do this carriers frequently establish a social media team within their NOC (network operation center). This […]

Amazon Polly turns text into lifelike speech, allowing you to create voice-enabled applications. We’re excited to announce the general availability of a new US English child voice—Kevin. Kevin’s voice was developed using the latest Neural Text-to-Speech (NTTS) technology, making it sound natural and human-like. This voice imitates the voice of a male child. Have a […]

AWS DeepRacer is a fun and easy way for developers with no prior experience to get started with machine learning (ML). At the end of the 2019 season, the AWS DeepRacer League engaged the Amazon ML Solutions Lab to develop a new sports analytics feature for the AWS DeepRacer Championship Cup at re:Invent 2019. The […]

Amazon SageMaker is a fully managed service that provides developers and data scientists the ability to quickly build, train, and deploy machine learning (ML) models. Tens of thousands of customers, including Intuit, Voodoo, ADP, Cerner, Dow Jones, and Thomson Reuters, use Amazon SageMaker to remove the heavy lifting from the ML process. With Amazon SageMaker, […]