Data Lake / Data Warehouse Modernization · Document Processing · Enterprise Knowledge Search
In its mission to innovate aluminium to make modern life possible, Emirates Global Aluminium (EGA) needs sustainable, scalable computing infrastructure that its on-premises environment struggled to deliver.
Reported impact
Through its hybrid Azure environment, EGA has achieved 10 to 13 times faster AI response time, 86% cost savings for AI image and video use cases, and several sustainability successes.
Emirates Global Aluminium modernized its analytics estate on Azure Local, Azure Arc, Azure Databricks, moving from fragmented legacy tooling to a governed cloud data platform. Operational, enterprise, or sensor data is ingested into a shared cloud store and transformed with Azure engineering services so teams can work from one current source of truth. Through its hybrid Azure environment, EGA has achieved 10 to 13 times faster AI response time, 86% cost savings for AI image and video use cases, and several sustainability successes. The architecture emphasizes managed services, reusable integrations, and governed data handling so the organization can scale adoption without rebuilding the solution for each new team or use case.
Data flows from operational systems through source-system connectors into the platform data layer, where Azure Databricks prepares and enriches it; business applications then exposes governed analytics and decision support to end users.
Carlo Khalil Nizam, Chief Digital Officer, Emirates Global Aluminium EGA decided to deploy a hybrid environment managed by Microsoft Azure Arc that connected private cloud services through on-premises datacenters, which are used to host...
EGA moved one-third of its servers to Microsoft Azure and another third to Azure Local as it taps into edge capabilities for safety-critical applications and new industrial AI use cases.
In its mission to innovate aluminium to make modern life possible, Emirates Global Aluminium (EGA) needs sustainable, scalable computing infrastructure that its on-premises environment struggled to deliver.
It monitors both sides of the environment with Azure Arc and avoids reengineering solutions as it moves between the public and private cloud.
Through its hybrid Azure environment, EGA has achieved 10 to 13 times faster AI response time, 86% cost savings for AI image and video use cases, and several sustainability successes.
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
Related
Microsoft Sample Feb 4, 2025 Ontada It is time-consuming, error-prone, and cost-prohibitive for Ontada to generate key insights using manual processes to analyze 150 million unstructured oncology documents. It is time-consuming, error-prone, and cost-prohibitive for Ontada to generate key insights using manual… Azure AI Document Intelligence · Azure AI Foundry · Azure AI Services Microsoft Sample Nov 25, 2024 PointClickCare However, ongoing staffing and financial stressors on the healthcare system create added challenges. "We hear from customers that healthcare staffing issues can put documentation quality at risk," says Dean Slawson, Vice… PointClickCare had previously migrated 1 million data tables from multiple locations to Microsoft Azure.… Azure AI Search · Azure AI Studio · Azure Databricks Microsoft Sample Mar 29, 2024 Seair Exim Solutions When its specialized data platform, Eximpedia, started slowing down with the increasing volume of data it handled, Seair knew it needed to take action. Across the globe, 24,000 customers rely on Seair Exim Solutions for clutter-free, genuine export-import (EXIM)… Azure AI Translator · Microsoft Fabric · Power BI 