[row]
Would you like to reap the benefits of artificial intelligence, but don't know how or where to start? Would you like to know how to turn your data into value for your customers and employees?
Both intuitive and powerful, the Datakeen™ Datahub solution is the IA Enterprise platform made for SMEs and ETIs who want to fully leverage their data assets without committing to lengthy, costly projects. It is also suitable for departments lacking a data solution.
The simplest platform on the market will enable your collaborators to centralize their data and collaborate on high-value projects. Central point of collaboration Datakeen™Datahub features all-packaged algorithms to save time in your AI projects. In just a few clicks perform self-service analyses and deploy powerful predictive models. Private by design, the platform will also help you comply with RGPD.
The platform comprises 3 main layers:
[column md="12″]
-
[/column]
[/row]
[row]
[column md="4″]
[/column]
[column md="8″]
AGREE ALL YOUR DATA
The first layer of the platform is an Amazon S3-type Datalake (centralized file system), enabling you to centralize all the data from your various systems and tools.
Production, marketing and sales data: feed Datahub with files of all types. You can import textual data, tables, images, video and audio recordings. Data can be loaded from your own workstation, or connected to existing databases and SaaS tools.
[/column]
[column md="12″]
-
-
[/column]
[/row]
[row]
[column md="8″]
COLLABORATE ON YOUR DATA
The various data analysis projects are collaborative: a sharing system and a chat room are available for collaborators.
A system of roles and permissions allows you to control the accesses and functionalities that belong to different employees.
A precise, nominative history of data transformations is available through the interface.
[/column]
[column md="4″]
[/column]
[column md="12″]
-
-
[/column]
[/row]
[row]
[column md="4″]
[/column]
[column md="8″]
from experimentation to production
Once the data has been aggregated and centralized it is possible to implement advanced AI techniques to, among other things:
- finely segment customers for marketing campaigns
- identify and prevent breakdowns or faults in production processes
- automatically classify documents or emails to save operational time
How can we approach these different projects in a standard, unified way with the state of the art in terms ofMachine Learning methods?
Once these use cases have been tried and tested, how can they be put into production with an end-to-end pipeline that is tested, monitored and transparent?
Datakeen™Datahub, based on container technology(Docker) features a resource orchestrator enabling smooth transition from experimentation to production. Models are also optimized and monitored over time, guaranteeing a high level of quality as well as incremental improvement over time.
[/column]
[column md="12″]
-
-
[/column]
[/row][row]
Both intuitive and powerful Datakeen ™ Datahub is the enterprise platform made for SMEs who want to fully value their data without engaging in expensive long projects. It is also suitable for departments of large corporations which do not have a tool.
The platform, the simplest on the market, will allow your employees to centralize their data and collaborate on projects with high added value. Central Point of Collaboration Datakeen ™ Datahub has packaged algorithms to save time for your AI projects. In just a few clicks, you can perform self-service analytics and deploy powerful predictive models.Private by design, the platform will also help you comply with the GDPR.
The platform consists of 3 main layers:
[column md="12″]
-
[/column]
[/row]
[row]
[column md="4″]
[/column]
[column md="8″]
AGREGATE ALL YOUR DATA
The first layer of the platform is a Datalake (centralized file system) type Amazon S3 that allow you to centralize all the data of your various systems and tools.
Production, marketing, sales data: feed the Datahub with files of all types. It is possible to import textual data, tables, images or video and audio recordings. You can load data from your computer or plug in existing databases and SaaS tools.
[/column]
[column md="12″]
-
-
[/column]
[/row]
[row]
[column md="8″]
COLLABORATE ON YOUR DATA
The different data analysis projects are collaborative: a sharing system and a chat is available for employees.
A system of roles and permissions allows to control the accesses and the functionalities which belong to the different collaborators.
A precise and nominative history of the transformations that have been made on the data and available through the interface.
[/column]
[column md="4″]
[/column]
[column md="12″]
-
-
[/column]
[/row]
[row]
[column md="4″]
[/column]
[column md="8″]
FROM EXPERIMENTATION TO PRODUCTION
Once the data has been aggregated and centralized it is possible to implement advanced AI techniques for, among others:
- Refine segment customers for marketing campaigns
- Identify and prevent breakdowns or failures in production processes
- Classify documents or emails automatically to save operational time
Once these use cases have been tried and tested, how can they be put into production with an end-to-end pipeline that is tested, monitored and transparent?
Once a use case has been tested what is the best way to push the models to production with an end-to-end pipeline tested, monitored and transparent?
Datakeen ™ Datahub, based on container technology(Docker) has a resource orchestrator to move from experimentation to production fluidly. The models are also optimized and monitored over time to ensure a high level of quality and incremental improvement over time.
[/column]
[column md="12″]
-
-
[/column]
[/row]