Artificial Intelligence and Innovation
Deploy AI on a large scale
The maturity of companies in terms of AI is accelerating. They now wish to have frameworks that will allow them to deploy industrial intelligence in an industrialized way so they may implement it on various projects.
In this new stage of AI implementation, Umanis will support you in deploying an "AI Factory" with a rapid return on investment.
The deployment challenges of AI
Companies no longer approach AI through the lens of a single project. They have identified many use cases and wish to install real factories from which to deploy AI in many scenarios.
However, implementing a profitable “AI factory” implies algorithmic expertise, mastery of infrastructures for large-scale deployment with a technological watch and a set of skills in architecture, engineering and data. .
For Umanis, an artificial intelligence project consists in implementing a system that will assimilate data, learn it in depth, then act on this data in a most transparent, secure, intuitive and reliable way. Our implementation approach with its three milestones - data assimilation, learning, action – benefits from our valuable internal expertise: project coordinators, data scientists, AI architects, data engineers and data visualization experts.
Our large-scale AI offer
We bring consulting, algorithmic expertise and our know-how to deploy AI on a large scale in the following areas:
- Predictive maintenance
- Fraud detection
- Analysis & detection of image anomalies
- Analysis & detection of video anomalies
- Classification of textual data (health, legal, social, etc.)
- Smart Building / Smart Factory / Smart City
- Customization / Product and / or service recommendation
Our added value
We work in partnership with many startups on the algorithmic part, in particular Dataiku and Databricks, and we are partners with the big players in the cloud infrastructure market - among others Google and Microsoft.
In addition, we actively contribute to the AI ecosystem in France and conduct a rigorous watch that we share with our entire ecosystem - customers, partners, students and researchers. This involvement ensures that our teams are at the cutting edge of AI technologies and practices.