AI-Powered
Data Center
Solution

The Challenge

A large data center operator was struggling with fragmented operational data across multiple enterprise systems. Critical insights related to infrastructure capacity, server health, and support performance were locked inside different platforms, preventing leadership from seeing the full picture.



Our team built a centralized data intelligence platform that aggregates operational data, correlates it across systems, and delivers actionable insights through dashboards, forecasting, and AI-powered assistance.



The solution enabled teams to detect infrastructure risks early, improve cross-team collaboration, and use predictive intelligence for operational planning.

Solution

Data from multiple enterprise systems is aggregated into Azure Databricks using ELT pipelines, creating a single operational data lake.

Integrated systems include:

  • ServiceNow (support ticket performance)
  • Nlyte (infrastructure & storage capacity)
  • Checkmk (server and host monitoring)
Data From Multiple Enterprise Systems

Modern Tech Stack

Modern Tech Stack

Technology

React
PyTorch
Python
PHP
Microsoft NET
JAX
Jasper AI
Gemini
flutter
Flow
Core ML
Claude AI
ChatGPT
Apple
Android
Angular
AWS
Azure
MongoDB
MSSQL Server
MySQL
PostgreSQL
Vue
Weaviate

Key Features

Cross-System KPI Intelligence

Correlates infrastructure and operational data to reveal relationships—linking system performance with incidents, ticket volume, and support backlog—enabling proactive, data-driven decision-making.

AI-Powered Operations Assistant

An integrated AI chatbot enables teams to access operational insights via natural language, quickly identifying patterns and correlations—such as server instability by region and ticket spikes linked to host failures—for faster, data-driven decisions.

Predictive Forecasting & Alerts

Machine learning models are used to predict storage capacity thresholds, identify infrastructure risk indicators, and forecast ticket volume spikes, while automated alerts enable teams to take proactive action before issues escalate into outages.

Results & Impact

  • Complete Operational Visibility 
    Leadership now has a single source of truth across infrastructure, capacity, and support operations.
  • Improved Cross-Team Collaboration
    Infrastructure and support teams can now work from shared operational insights, improving communication and response time.
  • Preventive Infrastructure Management
    AI-driven forecasting and alerts allow teams to proactively address infrastructure risks before they affect operations.
  • Faster Decision Making
    Executives can quickly identify performance trends and operational bottlenecks across regions and systems.