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.”
Customize cookie preferences
We use cookies and similar tools (collectively, "cookies") for the following purposes.
Essential
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
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.
Allowed
Functional
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.
Allowed
Advertising
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.
Allowed
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.
Your privacy choices
We and our advertising partners (“we”) may use information we collect from or about you to show you ads on other websites and online services. Under certain laws, this activity is referred to as “cross-context behavioral advertising” or “targeted advertising.”
To opt out of our use of cookies or similar technologies to engage in these activities, select “Opt out of cross-context behavioral ads” and “Save preferences” below. If you clear your browser cookies or visit this site from a different device or browser, you will need to make your selection again. For more information about cookies and how we use them, read our Cookie Notice.
To opt out of the use of other identifiers, such as contact information, for these activities, fill out the form here.
For more information about how AWS handles your information, read the AWS Privacy Notice.
Unable to save cookie preferences
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.
I contenuti di questa pagina non sono al momento disponibili nella lingua selezionata. Il nostro impegno è tuttavia di fornire più contenuti localizzati possibili. Grazie per la pazienza.
How long is the typical Amazon ML Solutions Lab engagement?
Amazon ML Solutions Lab engagements typically last from 3 to 9 months.
What is the expected outcome from an engagement with the Amazon ML Solutions Lab?
Our main goal is to deliver working ML capabilities that get deployed to your production environment. In many cases, we start with a limited proof of concept (POC) to prove the value of ML for a particular use case of yours, and then scope out and implement the minimum viable product (MVP) to take the new ML capabilities to production. Additionally, we will work collaboratively with your data scientists and developers, enabling them to take what they have learned through the process and use it elsewhere in their organization.
What steps are involved?
Typically, we start with a one to two hour discovery call to “work backwards” from your business challenges, determine if ML is a good fit for your use cases, and find out if you have the data to support those uses cases. If we agree to move forward, the next step would be a ½ day in-person ML Discovery Workshop where we dive deeper to identify and prioritize use cases and start scoping out a plan to move forward with a full engagement.
Where does the Amazon ML Solutions Lab engagement take place?
Typically we meet with the customer in person (at your location or AWS) to kick off the engagement and to determine a working cadence. After that, our ML experts will visit your site as needed, and have regular checkpoints using video conference, while working remotely on a regular basis.
Which geographical regions does the Amazon ML Solutions Lab support?
The Amazon ML Solutions Lab is available in countries throughout North America, Europe and Asia. Please contact your AWS account manager with questions about support in your location.
How are engagements priced?
ML Solutions Lab engagements vary in pricing. Please reach out to your account manager for more details.