We are excited to announce the preview of automatic chatbot designer in Amazon Lex, enabling developers to automatically design chatbots from conversation transcripts in hours rather than weeks. Amazon Lex helps you build, test, and deploy chatbots and virtual assistants on contact center services (such as Amazon Connect), websites, and messaging channels (such as Facebook Messenger). The automatic chatbot designer enhances the usability of Amazon Lex by automating conversational design, minimizing developer effort and reducing the time it takes to design a chatbot.
Amazon SageMaker Studio Lab (currently in preview), a free, no-configuration ML service
Introducing Amazon SageMaker Studio Lab is a free, no-configuration service that allows developers, academics, and data scientists to learn and experiment with machine learning.
AWS announces AWS DeepRacer Student, offering free model training, learning content, and a global autonomous racing competition exclusively for students
AWS DeepRacer Student Presented by Intel is a new service for students enrolled in high schools and colleges globally. AWS DeepRacer Student builds on the success of of the award-winning AWS DeepRacer service, which educates aspiring developers on artificial intelligence and machine learning (AI/ML), while removing barriers to entry faced by students. AWS DeepRacer Student provides an all-in-one solution with free learning modules, model training, and competition.
AWS Announces the AWS AI & ML Scholarship Program in collaboration with Intel and Udacity to help bring diversity to the future of the AI and ML workforce
The AWS Artificial Intelligence (AI) and Machine Learning (ML) Scholarship program, in collaboration with Intel and Udacity, provides students who self-identify as underserved and underrepresented in tech educational content, career mentorship programs, and 2,500 scholarships annually as part of a commitment to a more diverse future AI & ML workforce.
AWS DeepRacer announces the 2022 Season of DeepRacer League including physical races in the Summit Circuit, LIVE virtual head-to-head racing and a dedicated Student League
Today AWS announces a new structure for the 2022 Season of the award-winning AWS DeepRacer League. The AWS DeepRacer League is the world’s first global autonomous racing league, including an autonomous 1/18th scale race car driven by reinforcement learning and a 3D racing simulator where developers can get hands-on experience with Machine Learning (ML). 2022 introduces more opportunities to race LIVE for everyone via the return of physical racing on the Summit Circuit and a new LIVE head-to-head format in the Virtual Circuit, plus a new student-only division dubbed the AWS DeepRacer Student League.
AWS Database Migration Service now offers a new console experience, AWS DMS Studio
AWS Database Migration Service (AWS DMS) is pleased to announce the launch of AWS DMS Studio, a new service console that makes it easy to manage database migrations from start to finish. AWS DMS Studio accelerates and simplifies migrations by integrating tools for each phase of the migration journey from assessment to conversion to migration. AWS DMS Studio integrates AWS DMS Fleet Advisor to inventory and analyzes your database and analytics fleet, AWS Schema Conversion Tool (SCT) to convert database schema and application code, and AWS DMS to migrate your data. At each step of the migration, AWS DMS Studio assists you by providing contextual resources such as documentation and guidance on engaging migration experts where needed.
Introducing Amazon SageMaker Ground Truth Plus: Create high-quality training datasets without having to build labeling applications or manage the labeling workforce on your own
Today, we are excited to announce the general availability of Amazon SageMaker Ground Truth Plus, a new turnkey data labeling servicethat enables you to create high-quality training datasets quickly and reduces costs by up to 40%.
Amazon SageMaker Pipelines now integrates with SageMaker Model Monitor and SageMaker Clarify
Amazon SageMaker Pipelines, a fully managed service that enables you to create, automate, and manage end-to-end machine learning (ML) workflows, now supports integration with Amazon SageMaker Model Monitor and Amazon SageMaker Clarify. With these integrations, you can easily incorporate model quality and bias detection in your ML workflow. The increased automation can help reduce your operational burden in building and managing ML models.
Amazon DynamoDB announces the new Amazon DynamoDB Standard-Infrequent Access table class, which helps you reduce your DynamoDB costs by up to 60 percent
Amazon DynamoDB announces the new Amazon DynamoDB Standard-Infrequent Access (DynamoDB Standard-IA) table class, which helps you reduce your DynamoDB costs by up to 60 percent for tables that store infrequently accessed data. The DynamoDB Standard-IA table class is ideal for use cases that require long-term storage of data that is infrequently accessed, such as application logs, old social media posts, e-commerce order history, and past gaming achievements.
Introducing AWS Direct Connect SiteLink
Today AWS announced the general release of AWS Direct Connect SiteLink. SiteLink makes it easy to create private network connections between your on-premises locations, such as offices and data centers, by connecting them to Direct Connect locations throughout the world.