DATA, AI, AND THE REAL WORLD
Real-world use of platforms and products. MongoDB, AWS, Oracle, APIs, vendors, and the trade-offs that matter in practice.
A practical exploration of MongoDB Search, focusing on how the search layer operates, why observability matters, and how to approach diagnostics in modern architectures.
AI is no longer the hard part. What breaks systems is everything around it: memory, retrieval, cost, reliability, and the gap between demos and production. This piece explores why Production AI fails in practice, and how MongoDB is quietly removing friction where real systems usually collapse.
Artificial intelligence is moving fast. Too fast, in many cases, for the data architectures beneath…
An architectural analysis of MongoDB Atlas new features: performance, time series scalability, workload governance, security, and AI-ready data platforms in real-world systems.
In this article, I compare virtual machines, containers, and serverless computing from a real-world architecture…
A practical proof of concept showing how visual recognition can modernize traditional enterprise processes. From quality control to fleet damage detection, this project demonstrates how AI-driven image classification turns real-world scenarios into automated, reliable systems.
Learn how to connect a SensorTag to IBM Watson IoT Platform using a Raspberry Pi as a Bluetooth LE gateway. This step-by-step guide covers BlueZ installation, Node.js setup, device registration, and real-world IoT architecture patterns.
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