Societegenerale

IT Operations & Network Management

Objective

  • Develop an AI-driven IT operations management system (AIOps) that uses predictive analytics to anticipate and resolve IT issues before they impact users.
  • Propose an automated system for IT asset management that optimizes resource utilization and lifecycle management through AI-driven insights.
  • Create an AI-powered network monitoring and management system that predicts network failures, optimizes performance, and ensures reliable connectivity.

Requirements

  1. The solution must leverage AI in a significant and innovative way.
  2. Emphasize scalability and adaptability to different organizational sizes and sectors.
  3. Ensure data privacy and security are integral to your design.
  4. Prototypes should demonstrate a clear path to real-world implementation.

Expected Outcomes

  1. A working prototype or detailed design of your AI solution.
  2. A comprehensive presentation outlining the problem, your proposed solution, its impact, and the implementation plan.
  3. A demonstration of how your solution leverages AI technologies effectively.

Deliverables:

  • Functional Prototype: A working prototype or detailed design of the AI-driven IT operations management system, including features for predictive analytics, IT asset management, and network monitoring.
  • Technical Documentation: Detailed documentation outlining the system’s architecture, AI algorithms, and security measures.
  • Scalability and Adaptability Plan: A document demonstrating the system’s scalability and adaptability to various organizational sizes and sectors.
  • Data Privacy Report: A report detailing the data privacy and security measures implemented in the system.
  • Demonstration Presentation: A comprehensive presentation outlining the problem, proposed solution, its impact, and the implementation plan, including a demonstration of the AI capabilities.

Note to Participants: Participants are encouraged to leverage any technology, framework, or open-source resources as required to craft their solutions. The emphasis lies on innovative problem-solving and practical application.

Sample use cases
 
These are sample use cases, participants should build more use cases for the problem statement