Energy Sector Case Study
Modernizing BP's Data Platform for an AI-Ready Future
How we architected a scalable, AI-ready data platform on Azure to accelerate innovation.
The Challenge
BP, a global energy leader, needed to modernize its data infrastructure to support next-generation AI and machine learning initiatives. Their existing systems were fragmented, creating data silos that hindered the development and deployment of advanced analytics models, slowing down innovation.
- Siloed data infrastructure limiting AI potential.
- Slow deployment cycles for new machine learning models.
- Lack of a unified platform for data scientists and engineers.
The Solution
Red Analytica designed and implemented a scalable, AI-ready data platform on Microsoft Azure. We leveraged Azure Databricks for unified data analytics and processing, and Azure Machine Learning for a streamlined MLOps lifecycle.
- Created a unified analytics platform with Azure Databricks.
- Implemented end-to-end MLOps with Azure ML.
- Built a centralized data lake for all business units.
The New Architecture
A high-level overview of the modern Azure data platform architected by Red Analytica for BP.
The Impact
40%
Faster deployment of AI projects
Unified
Data platform for analytics and AI
Future-Proof
Foundation for advanced analytics