Amazon Web Services780 тыс
Опубликовано 12 декабря 2024, 0:31
Transform your business challenges into ML solutions with Amazon Q Developer in Amazon SageMaker Canvas! This demo shows how business analysts and domain experts can now build machine learning models without any ML expertise, using simple natural language interactions.
Watch as we demonstrate how to:
- Use Q Developer's AI-powered assistance to translate business problems into ML solutions
- Analyze and prepare data automatically
- Build and train ML models using AutoML technology
- Understand model performance metrics in plain language
- Deploy models and generate predictions through a chat interface
Perfect for business analysts and citizen data scientists who want to leverage the power of machine learning without technical complexity, see how SageMaker Canvas with Q Developer democratizes ML development and accelerates innovation.
Learn more about Amazon SageMaker Canvas: go.aws/canvas
Subscribe to AWS: go.aws/subscribe
Sign up for AWS: go.aws/signup
AWS free tier: go.aws/free
Explore more: go.aws/more
Contact AWS: go.aws/contact
Next steps:
Explore on AWS in Analyst Research: go.aws/reports
Discover, deploy, and manage software that runs on AWS: go.aws/marketplace
Join the AWS Partner Network: go.aws/partners
Learn more on how Amazon builds and operates software: go.aws/library
Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: go.aws/3lPaoPb
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—use AWS to be more agile, lower costs, and innovate faster.
#AWS #MachineLearning #ArtificialIntelligence #DataScience #BusinessAnalytics #AmazonSageMaker #SageMaker #SageMakerCanvas #AmazonWebServices #CloudComputing
Watch as we demonstrate how to:
- Use Q Developer's AI-powered assistance to translate business problems into ML solutions
- Analyze and prepare data automatically
- Build and train ML models using AutoML technology
- Understand model performance metrics in plain language
- Deploy models and generate predictions through a chat interface
Perfect for business analysts and citizen data scientists who want to leverage the power of machine learning without technical complexity, see how SageMaker Canvas with Q Developer democratizes ML development and accelerates innovation.
Learn more about Amazon SageMaker Canvas: go.aws/canvas
Subscribe to AWS: go.aws/subscribe
Sign up for AWS: go.aws/signup
AWS free tier: go.aws/free
Explore more: go.aws/more
Contact AWS: go.aws/contact
Next steps:
Explore on AWS in Analyst Research: go.aws/reports
Discover, deploy, and manage software that runs on AWS: go.aws/marketplace
Join the AWS Partner Network: go.aws/partners
Learn more on how Amazon builds and operates software: go.aws/library
Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: go.aws/3lPaoPb
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—use AWS to be more agile, lower costs, and innovate faster.
#AWS #MachineLearning #ArtificialIntelligence #DataScience #BusinessAnalytics #AmazonSageMaker #SageMaker #SageMakerCanvas #AmazonWebServices #CloudComputing
Свежие видео
Случайные видео