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Intoduction

Intoduction

Owned by thierry sinassamy
Last updated: Mar 13, 2024
2 min read

Cloud Architecture proposition is based on business needs, current organizational context and legal requirement.

Contextualization

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  1. Scanning the files based on legal criteria.

  2. After scanning, cleaning the files based on legal criteria : what we have to keep and what we can delete.

  3. Organizing the files in forlders (classification, structuration, etc.) and in parallel, finalize the segmentation (access to the files by department).

  4. Once it’s done, storing the active files and archiving the inactive files which have to be kept (legal criteria).

Implementation steps

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  • Milestone 1 : the process of scanning files in a physical location.

  • Milestone 2 : the process of storing and archiving.

  • Milestone 3 : the process of searching data & information (no-manual, fast and accurate).

Case scenarios (according Microsoft)

Microsoft proposes a list of case scenarios regarding the use of AI technologies : GitHub - Azure/ai-solution-accelerators-list: This is a list of the Azure AI Solution Accelerators available to demonstrate and simply deployment of Azure AI

  1. Operationalization and management of predictive models (Machine Learning scenario).

  2. Regular detection of rapid data change (Machine Learning scenario).

  3. Accurate and intensive data research (Cognitive Search, Speech, etc…).

  4. Automated business process requiring data transformation steps (Coginitive Services, Speech, etc…).

  5. Collection of external and internal data to support decision-making (Text Analytics, Translator, etc…).

This is a case of accurate and intensive data search or data mining.

Organizational directives and guidelines

No information could be mentionned because it’s belonging to the company (directives regarding internal compliance, directives regarding personal data protection).