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Enterprise AI Platform Development for Manufacturing
  1. case
  2. Enterprise AI Platform Development for Manufacturing

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Enterprise AI Platform Development for Manufacturing

websensa.com
Manufacturing
Utilities

Challenges with AI Adoption

Imerys faces challenges in providing secure, efficient access to advanced AI language models for its diverse workforce. Complex AI technologies and security concerns create barriers to widespread AI adoption, hindering operational efficiency, data processing, and decision-making.

About the Client

A leading French multinational specializing in industrial minerals for various sectors including ceramics, automotive, and construction.

Project Goals

  • Democratize access to advanced AI capabilities across Imerys.
  • Improve data processing and enhance service delivery through AI-powered insights.
  • Enable faster and more accurate decision-making with AI-driven data analysis.
  • Future-proof the organization's operations by creating a scalable AI platform.
  • Ensure enterprise-grade security and compliance for AI model access.

Core System Functionalities

  • Intuitive chat interface for interacting with AI models.
  • Real-time conversation capabilities.
  • Comprehensive conversation history management.
  • Secure user authentication and authorization (Okta OAuth).
  • Simple admin panel for access management and model configuration.
  • Backend system for communication with Amazon Bedrock.
  • Response regeneration functionality.

Technology Stack

Amazon Bedrock
Python (Django)
Vue.js
Okta OAuth

External System Integrations

  • Okta for user authentication
  • Potentially existing Imerys data sources and systems (specify further during requirements gathering)

Non-Functional Requirements

  • Scalability to accommodate future AI model integrations and user growth.
  • High performance and low latency for real-time interactions.
  • Enterprise-grade security to protect sensitive data.
  • Reliability and availability to ensure continuous access to AI capabilities.

Expected Business Impact

This AI platform is expected to significantly improve operational efficiency by automating tasks, enhancing data analysis, and empowering employees with AI-driven insights. It will contribute to better decision-making, increased productivity, and a more agile organization, ultimately driving innovation and competitive advantage.

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