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Data Acquisition: Change Data Capture Principles for Efficient Data Movement

Introduction Modern organisations rely on timely data to run operations, measure performance, and make decisions. Yet moving data from operational systems into analytics platforms is...

Adversarial Examples in Generative Models: Detecting and Defending Against Malicious Input Perturbations

Generative models—large language models (LLMs), image diffusion systems, and multimodal assistants—are designed to transform an input prompt into a useful output. That same “input-to-output”...

Why “Human-in-the-Loop” Still Wins

Automation has improved quickly, but real-world work rarely looks like a clean demo. Data is messy, goals change, and edge cases appear without warning....

Unsupervised Learning: Kernel PCA (KPCA) Explained

Unsupervised learning plays a critical role in modern data analysis, especially when labelled data is unavailable or expensive to obtain. One of the most...

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