Machine learning projects often run up against going into production within existing IT architectures. Going into production requires Data and Machine Learning engineering designed very early on to guarantee the correct functioning of the models over the long term, ML performance, error detection, drift or even cost containment.
Mangrove supports its customers on Machine Learning projects
- Technical audit and recommendations (architecture, costs, performance, scaling, etc.)
- Integration of Data Scientists work environments
- Development of machine learning models
- Design of Data / ML architectures for production deployments
- Development in collaboration with the client team
- Training and skills transfer on the AWS services used
Advanced expertise on Amazon Web Services
Mangrove experts almost exclusively use the services offered by AWS. This choice was made because the very wide and comprehensive range of AWS services allows you to build Data-ML applications in the most optimal way possible. Our experts adapt to your needs and complement your team as needed. We help your team gain confidence in our area of expertise. You will thus obtain an optimal operational solution and the members of your team will be able to manage the evolutions.
Amazon Web Services Partner
Mangrove’s experts adapt to your business requirements and complement your team when you need it. We help your team gain confidence in our core expertise area.
Amazon Web Services Certifications
In the evolving environment of Data, ML and AWS, investing in people is essential to deliver superior quality and the best offer to our customers. All Mangrove employees are therefore AWS certified.
