AWS Machine Learning Blog
Category: Artificial Intelligence
Building a speech-to-text notification system in different languages with AWS Transcribe and an IoT device
Have you ever wished that people visiting your home could leave you a message if you’re not there? What if that solution could support your native language? Here is a straightforward and cost-effective solution that you can build yourself, and you only pay for what you use. This post demonstrates how to build a notification […]
Read MoreBuilding AI-powered forecasting automation with Amazon Forecast by applying MLOps
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, it’s important to break down the silos among different stakeholders to capture business value. The MLOps model makes sure that the data science, […]
Read MoreEnhancing enterprise search with Amazon Kendra
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 […]
Read MoreScheduling Jupyter notebooks on SageMaker ephemeral instances
It’s 5 PM on a Friday. You’ve spent all afternoon coding out a complex, sophisticated feature engineering strategy. It just started working on your Amazon SageMaker Studio t3.medium notebook, and all you want to do is plug this onto a massive instance, scale it out over the rest of your dataset, and go home. You […]
Read MoreAWS DeepComposer Chartbusters: generate compositions in the style of Bach and compete to top the charts
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, […]
Read MoreDetecting fraud in heterogeneous networks using Amazon SageMaker and Deep Graph Library
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 […]
Read MoreIntegrate Amazon Kendra and Amazon Lex using a search intent
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 […]
Read MoreDetecting and visualizing telecom network outages from tweets with Amazon Comprehend
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 […]
Read MoreAmazon Polly launches a child US English NTTS voice
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 […]
Read MoreDelivering real-time racing analytics using machine learning
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 […]
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