Announcing conversational AI partner solutions

Favorite 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

Read More
Shared by AWS Machine Learning November 16, 2021

Monitor operational metrics for your Amazon Lex chatbot

Favorite 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

Read More
Shared by AWS Machine Learning November 13, 2021

Customize Amazon Translate output to meet your domain and organization specific vocabulary

Favorite 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

Read More
Shared by AWS Machine Learning November 12, 2021

Use integrated explainability tools and improve model quality using Amazon SageMaker Autopilot

Favorite 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

Read More
Shared by AWS Machine Learning November 11, 2021

Bring your own data to classify news with Amazon SageMaker and Hugging Face

Favorite The fields of natural language processing (NLP), natural language understanding (NLU), and related branches of machine learning (ML) for text analysis have rapidly evolved to address use cases involving text classification, summarization, translation, and more. State-of-the art, general-purpose architectures such as transformers are making this evolution possible. Looking at

Read More
Shared by AWS Machine Learning November 10, 2021