AWS Machine Learning Blog

Category: Artificial Intelligence

Machine learning inference at scale using AWS serverless

With the growing adoption of Machine Learning (ML) across industries, there is an increasing demand for faster and easier ways to run ML inference at scale. ML use cases, such as manufacturing defect detection, demand forecasting, fraud surveillance, and many others, involve tens or thousands of datasets, including images, videos, files, documents, and other artifacts. […]

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, […]

Design 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 […]

Automatically detect sports highlights in video with Amazon SageMaker

July 2023: Please refer to the Media Replay Engine (MRE) solution presented in this Github repo instead, for the latest and more efficient solution for this use case. MRE is a framework for building automated video clipping and replay (highlight) generation pipelines using AWS services for live and video-on-demand (VOD) content. Extracting highlights from a […]

Monitor 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 […]

AWS and NVIDIA launch “Hands-on Machine Learning with Amazon SageMaker and NVIDIA GPUs” on Coursera

Note to readers: Enrollment for this course has been temporarily paused until the start of 2022. Stay tuned for further announcements.  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 […]

Customize 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 […]

Generate 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 […]

Use 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 […]

Deploy 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 […]