Aliac Insights
Articles on Artificial Intelligence, MLOps, and engineering robust solutions.
Reliability by Design: A Pragmatic Guide to Production ML Monitoring
Model drift is a silent threat to operational efficiency. This guide details the engineering discipline required to detect model degradation in high-stakes industrial systems—before it impacts your bottom line. We cover robust monitoring architectures, statistical methods, and real-world case studies.
The Engineer's Guide to Inductive Bias: Matching the Model to the Mission
The "No Free Lunch" theorem confirms no single model works for every problem. This article explores the core assumptions of key architectures—from CNNs to Transformers—providing the strategic framework for selecting the right model that learns efficiently and generalizes effectively.