An innovative, end-to-end approach, to establish a comprehensive diagnostic of your organization regarding Artificial Intelligence use case Operationalization.
This preliminary work, addressing a specific business need or use case, can then be used as the cornerstone for new data and AI solutions to be built: platforming technical choices, integration toolbox, implementation within organization, collaboration methods and their industrialization. Theses foundations could implemented in a surprisingly reasonable timing, when focusing on the crucial stakes as we propose in our methodology.
We describe below the main Steps of the Data & AI Diagnostic, related activities and typical duration:
| Diagnostic | Assessment & Priorisation | Solution Architecture |
| Analysis of the current technical and operational Data Management and AI practices | Use case identification, vision & strategy, selection of a priority Use Case, and definition of business requirements | High level Data modeling Architecture & Data Engineering |
| 4 weeks | 6 weeks | 2 weeks |
Our offerings are structured to allow leverage of several services that can be articulated upon specific needs:
