How to make your second AI application faster than your first

Your first AI application took months, but it landed. Then the second one arrives and takes just as long. In Part 2 of our series on starting and scaling AI on AWS, Mostafa Mabrouk explains how to build governance controls alongside your first application, so the next team inherits them instead of starting again.

Your landing zone is built. Why is your AI application still waiting?

Your landing zone is built, and built well. So why is your AI application still waiting? In Part 1 of our series on starting and scaling AI on AWS, Mostafa Mabrouk explains what a generic landing zone doesn’t cover. He also explains why the usual ways of filling that gap never make the second AI application any faster.

Planning a Windows File Server Migration to Amazon FSx

AI governance for risk and compliance teams is ultimately about operational trust. This blog explores how financial services organisations can move Gen AI systems safely into production through clear policy frameworks, AI risk ratings, observability, lifecycle ownership, audit trails, and APRA-aligned operational controls.

Oracle Exadata to AWS EC2 Migration: Handling HCC Compression and Data Guard Limitations

Oracle Exadata to AWS EC2 Migration

Learn how to migrate an Oracle database from Exadata to AWS EC2 while handling Hybrid Columnar Compression (HCC) limitations, Data Guard challenges, RMAN migration workflows, and post-migration decompression strategies. This real-world 80+ TB migration outlines practical approaches for maintaining operational stability, minimising downtime, and managing HCC dependencies in non-Exadata cloud environments.