Data Warehousing for AI

At Lumen, we help organisations build AI-ready Data Warehouses capable of supporting advanced analytics, machine learning, and real-time decisions. Our consultancy ensures your data infrastructure is scalable, high-performance, and optimised for AI-driven insights.

Our experts assess your current architecture and AI maturity, then provide a tailored roadmap to modernise your data warehouse and accelerate AI adoption. With Lumen, your organisation can transform its warehouse into a powerful engine for predictive analytics, automation, and AI-powered decision-making.

AI-Driven Data Architecture

Designing cloud-native, hybrid, or on-premise AI-ready data warehouses that efficiently handle structured and unstructured data (Snowflake, Google BigQuery, Azure Synapse, AWS Redshift, Databricks).

Data Pipelines & AI Integration

Implementing automated ETL/ELT pipelines for seamless data ingestion and transformation, ensuring real-time AI model training and inferencing.

Feature Store & ML Model Support

Enabling AI-driven data engineering by implementing feature stores to manage and reuse ML features across models for improved accuracy and efficiency.

Big Data & Data Lakehouse Integration

Combining Data Warehouses and Data Lakes in a Lakehouse architecture to support batch, real-time, and streaming AI applications.

GPU-Optimised Processing & Compute Scaling

Leveraging high-performance computing (HPC), GPU acceleration, and AI-optimised databases to handle large-scale AI workloads efficiently.

AI Governance & Explainability

Embedding AI ethics, bias detection, lineage tracking, and regulatory compliance to ensure transparency and accountability in AI-driven decision-making.

Security, Compliance & Cost Optimisation

Implementing robust security controls, encryption, access management, and cost-efficient data storage strategies to align AI infrastructure with business needs.