AWS Machine Learning Blog
Announcing conversational AI partner solutions
We are excited to announce the availability of AWS conversational AI partner solutions, which enables enterprises to implement high-quality, highly effective chatbot, virtual assistant, and Interactive Voice Response (IVR) solutions through the domain expertise of AWS Partners and AWS AI and machine learning (ML) services. The partners highlighted in this announcement include Cation Consulting, Deloitte, […]
Read MoreDesign a compelling record filtering method with Amazon SageMaker Model Monitor
As artificial intelligence (AI) and machine learning (ML) technologies continue to proliferate, using ML models plays a crucial role in converting the insights from data into actual business impacts. Operational ML means streamlining every step of the ML lifecycle and deploying the best models within the existing production system. And within that production system, the […]
Read MoreAutomatically detect sports highlights in video with Amazon SageMaker
Extracting highlights from a video is a time-consuming and complex process. In this post, we provide a new take on instant replay for sporting events using a machine learning (ML) solution for automatically creating video highlights from original video content. Video highlights are then available for download so that users can continue to view them […]
Read MoreMonitor operational metrics for your Amazon Lex chatbot
Chatbots are increasingly becoming an important channel for companies to interact with their customers, employees, and partners. Amazon Lex allows you to build conversational interfaces into any application using voice and text. Amazon Lex V2 console and APIs make it easier to build, deploy, and manage bots so that you can expedite building virtual agents, conversational […]
Read MoreAWS and NVIDIA launch “Hands-on Machine Learning with Amazon SageMaker and NVIDIA GPUs” on Coursera
AWS and NVIDIA are excited to announce the new Hands-on Machine Learning with Amazon SageMaker and NVIDIA GPUs course. The course has four parts, and is designed to help machine learning (ML) enthusiasts quickly learn how to perform modern ML in the AWS Cloud. Sign up for the course today on Coursera. Machine learning can be complex, […]
Read MoreCustomize Amazon Translate output to meet your domain and organization specific vocabulary
Amazon Translate is a neural machine translation service that delivers fast, high-quality, affordable, and customizable language translation. When you translate from one language to another, you want your machine translation to be accurate, fluent, and most importantly contextual. Customization is key in keeping your machine translation contextual. Amazon Translate provides multiple capabilities for customization to […]
Read MoreGenerate high-quality meeting notes using Amazon Transcribe and Amazon Comprehend
Organizations are continuing to evaluate remote working arrangements and explore moving to a hybrid workforce model. Emerging trends suggest that not only has the number of online meetings attended by employees on a day-to-day basis increased, but also the number of attendees per meeting. One of the key challenges with online meetings is ensuring efficient […]
Read MoreUse integrated explainability tools and improve model quality using Amazon SageMaker Autopilot
Whether you are developing a machine learning (ML) model for reducing operating cost, improving efficiency, or improving customer satisfaction, there are no perfect solutions when it comes to producing an effective model. From an ML development perspective, data scientists typically go through stages of data exploration, feature engineering, model development, and model training and tuning […]
Read MoreDeploy fast and scalable AI with NVIDIA Triton Inference Server in Amazon SageMaker
Machine learning (ML) and deep learning (DL) are becoming effective tools for solving diverse computing problems, from image classification in medical diagnosis, conversational AI in chatbots, to recommender systems in ecommerce. However, ML models that have specific latency or high throughput requirements can become prohibitively expensive to run at scale on generic computing infrastructure. To […]
Read MoreBushfire mitigation through Machine Learning with AusNet and AWS
Eastern Australia is among the most fire-prone regions in the world. Although bushfires are a regular occurrence in Australia, the 2019–2020 bushfire crisis set ablaze over 17 million hectares of land (larger than the size of England), costing the Australian economy more than $100 billion between property, infrastructure, social, and environmental costs. With increasingly extreme […]
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