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Gen AI Operations
Data Copilot

- Industrial Gases & Chemicals Industry

Fortune 500 company and leader in providing hydrogen fueling infrastructure, industrial gases, chemicals, and related solutions. Operating across Operations, Research & Development, and IT departments with extensive operational data and maintenance records.

Project Highlights

Developing a Gen AI based product to provide conversational analytics capabilities

Building LLMOps infrastructure for seamless operations data interoperability

Creating intuitive SDK and API for sophisticated data interactions

Challenges

  • Difficulty accessing vital information from extensive operational data
  • Users struggle to retrieve maintenance activities and metrics efficiently
  • Complex queries require technical SQL expertise
  • Data scattered across structured and unstructured sources

Solution Highlights

  • Gen AI-based copilot for natural language data interaction
  • Flexible LLMOps infrastructure supporting multiple data sources
  • Intuitive interface with SDK and API simplifying complexity
  • Natural language processing for sophisticated queries

Solution Components

Knowledge Base

  • Document processing (OCR, parsers)
  • Vector database storage
  • Structured & unstructured data

Copilot Engine

  • LLM service integration
  • Query parsing and retrieval
  • NL2SQL capabilities

User Interface

  • Conversational chat interface
  • Browser and Bot Services
  • Data visualization with references

Expected Outcomes

70–80% Faster Data Retrieval

50–60% Reduced Query Complexity

Enhanced User Experience

Democratized Data Access

Governance & Continuous Improvement

Governance

Optimization

Robust LLMOps framework ensuring model performance monitoring, version control, and continuous enhancement. Secure identity and access management with comprehensive audit logging. Regular feedback loops and model fine-tuning maintain accuracy and relevance across operational use cases.