Difference between revisions of "Machine Learning Services"

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DAVE Embedded Systems offers the above services with two possible approaches:
 
DAVE Embedded Systems offers the above services with two possible approaches:
 
* based on binding formal quotation after discussions and effort evaluation
 
* based on binding formal quotation after discussions and effort evaluation
 
* based on Time & Material approach with an initial estimation of the effort
 
* based on Time & Material approach with an initial estimation of the effort
 
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The standard approach requires an initial contact with the [https://www.dave.eu/get-a-quote technical team]. Customers together the team defines:
 
The standard approach requires an initial contact with the [https://www.dave.eu/get-a-quote technical team]. Customers together the team defines:
 
* The technical specification
 
* The technical specification
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* The Acceptance Criterias jointly used for evaluate the task and approve it
 
* The Acceptance Criterias jointly used for evaluate the task and approve it
 
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Depending on the requested task, the project is managed via gantt approach with multiple tasks with peer review (both internals and shared with customers). The typical deployment is then shared with customers via a dedicated wiki structure (like this but private between DAVE Embedded Systems and customers) and a dedicated project branch on our Gitlab server.  
 
Depending on the requested task, the project is managed via gantt approach with multiple tasks with peer review (both internals and shared with customers). The typical deployment is then shared with customers via a dedicated wiki structure (like this but private between DAVE Embedded Systems and customers) and a dedicated project branch on our Gitlab server.  
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Depending on the requested task, the project may require a regular service for updates and improvements (such as the CVE monitoring and resolution via updated version of the Linux kernel). In this case, this service is released regularly via sw updates in our Gitlab server with release candidates and official releases
 
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Revision as of 08:57, 5 January 2021

Machine Learning Services

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Machine Learning TBD

  • TBD
  • TBD

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Machine Learning TBD

  • TBD
  • TBD

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Machine Learning TBD

  • TBD
  • TBD


Machine Learning Services: what we offer in short Machine Learning Services: the on board mechanism Machine Learning Services: the deployment Machine Learning Services: the maintenance/upgrade

DAVE Embedded Systems offers the above services with two possible approaches:

  • based on binding formal quotation after discussions and effort evaluation
  • based on Time & Material approach with an initial estimation of the effort

The standard approach requires an initial contact with the technical team. Customers together the team defines:

  • The technical specification
  • The scope of Supply
  • The Acceptance Criterias jointly used for evaluate the task and approve it

Depending on the requested task, the project is managed via gantt approach with multiple tasks with peer review (both internals and shared with customers). The typical deployment is then shared with customers via a dedicated wiki structure (like this but private between DAVE Embedded Systems and customers) and a dedicated project branch on our Gitlab server.

Depending on the requested task, the project may require a regular service for updates and improvements (such as the CVE monitoring and resolution via updated version of the Linux kernel). In this case, this service is released regularly via sw updates in our Gitlab server with release candidates and official releases


General Information Pricing Insights
  • [link_TBD {{{nome-som}}} SOM Brochure PDF ]
Customer-service.png Online Technical Helpdesk
Sale-tag.png Machine Learning Services RFQ Request For Quotation