Projects

AI-Powered Analytics Platform

Enterprise Intelligence Architecture

Data & AI Architecture Deck

The "Insight Gap"

01

Context: A unified view of the customer was impossible due to fragmented data across On-Prem SQL, AWS S3, and SaaS feeds.

Pain Points:

  • Latency: "What happened yesterday?" reports took 48 hours to generate.
  • Lost Revenue: Generic marketing campaigns failed to convert.
  • Security: Shadow AI usage (ChatGPT) putting IP at risk.

Disconnected Enterprise Data

Architecture: AI Landing Zone

02
  • Microsoft Fabric: "OneLake" virtualization to unify AWS/Azure data without ETL.
  • APIM Gateway: Centralized entry point for Azure OpenAI models to enforce rate limits and chargeback.
  • RAG Pattern: Retrieval Augmented Generation using Azure AI Search (Vector) to ground LLMs in company data.

Fabric ➔ OneLake ➔ Azure OpenAI

(Secure Private Link VNET)

Governance & Guardrails

03

Content Safety

Real-time filters to block jailbreak attempts and PII leakage before it reaches the model.

Evaluation

Automated "Red Teaming" using Azure AI Studio to measure hallucination rates.

Network Iso

100% Private Endpoints. No public internet access to training data.

Value Delivered

04
15%

Revenue Uplift

via Personalized Campaigns
< 5min

Insight Time

Down from 2 days
Secure

Enterprise Chat

Corporate data stays internal
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