Use Amazon Q Developer to build ML models in Amazon SageMaker Canvas
Q Developer empowers non-ML experts to build ML models using natural language, enabling organizations to innovate faster with reduced time to market.
We use essential cookies and similar tools that are necessary to provide our site and services. We use performance cookies to collect anonymous statistics, so we can understand how customers use our site and make improvements. Essential cookies cannot be deactivated, but you can choose “Customize” or “Decline” to decline performance cookies.
If you agree, AWS and approved third parties will also use cookies to provide useful site features, remember your preferences, and display relevant content, including relevant advertising. To accept or decline all non-essential cookies, choose “Accept” or “Decline.” To make more detailed choices, choose “Customize.”
Essential cookies are necessary to provide our site and services and cannot be deactivated. They are usually set in response to your actions on the site, such as setting your privacy preferences, signing in, or filling in forms.
Performance cookies provide anonymous statistics about how customers navigate our site so we can improve site experience and performance. Approved third parties may perform analytics on our behalf, but they cannot use the data for their own purposes.
Functional cookies help us provide useful site features, remember your preferences, and display relevant content. Approved third parties may set these cookies to provide certain site features. If you do not allow these cookies, then some or all of these services may not function properly.
Advertising cookies may be set through our site by us or our advertising partners and help us deliver relevant marketing content. If you do not allow these cookies, you will experience less relevant advertising.
Blocking some types of cookies may impact your experience of our sites. You may review and change your choices at any time by selecting Cookie preferences in the footer of this site. We and selected third-parties use cookies or similar technologies as specified in the AWS Cookie Notice.
We display ads relevant to your interests on AWS sites and on other properties, including cross-context behavioral advertising. Cross-context behavioral advertising uses data from one site or app to advertise to you on a different company’s site or app.
To not allow AWS cross-context behavioral advertising based on cookies or similar technologies, select “Don't allow” and “Save privacy choices” below, or visit an AWS site with a legally-recognized decline signal enabled, such as the Global Privacy Control. If you delete your cookies or visit this site from a different browser or device, you will need to make your selection again. For more information about cookies and how we use them, please read our AWS Cookie Notice.
To not allow all other AWS cross-context behavioral advertising, complete this form by email.
For more information about how AWS handles your information, please read the AWS Privacy Notice.
We will only store essential cookies at this time, because we were unable to save your cookie preferences.
If you want to change your cookie preferences, try again later using the link in the AWS console footer, or contact support if the problem persists.
Q Developer empowers non-ML experts to build ML models using natural language, enabling organizations to innovate faster with reduced time to market.
Starting today, you can use AWS Clean Rooms Differential Privacy (preview) to help protect the privacy of your users with mathematically backed and intuitive controls in a few steps. As a fully managed capability of AWS Clean Rooms, no prior differential privacy experience is needed to help you prevent the reidentification of your users. AWS […]
Today, we’re introducing AWS Clean Rooms ML (preview), a new capability of AWS Clean Rooms that helps you and your partners apply machine learning (ML) models on your collective data without copying or sharing raw data with each other. With this new capability, you can generate predictive insights using ML models while continuing to protect your sensitive […]
Live streaming is becoming an increasingly popular way to connect customers with their favorite influencers and brands through interactive live video experiences. Our customers, DeNA and Rooter, rely on Amazon Interactive Video Service (Amazon IVS), a fully managed live streaming solution, to build engaging live stream and interactive video experiences for their audiences. In March we introduced Amazon IVS […]
Companies across multiple industries, such as advertising and marketing, retail, consumer packaged goods (CPG), travel and hospitality, media and entertainment, and financial services, increasingly look to supplement their data with data from business partners, to build a complete view of their business. Let’s take a marketing use case as an example. Brands, publishers, and their […]
Amazon Nimble Studio is a new service that creative studios can use to produce visual effects, animations, and interactive content entirely in the cloud with AWS, from the storyboard sketch to the final deliverable. Nimble Studio provides customers with on-demand access to virtual workstations, elastic file storage, and render farm capacity. It also provides built-in […]