by Dr. Owns | Feb 18, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
In the past few years, technology and AI have evolved more than ever. As I read about the new concepts in tech and learn new skills and techniques each day, I feel in a state of limbo — there is so much content to consume and yet, very little content that I could...
by Dr. Owns | Feb 18, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
This is the second in a two-part series on using SQLite for Machine Learning. In my last article, I dove into how SQLite is rapidly becoming a production-ready database for web applications. In this article, I will discuss how to perform retrieval-augmented-generation...
by Dr. Owns | Feb 17, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
As a Developer Advocate, it’s challenging to keep up with user forum messages and understand the big picture of what users are saying. There’s plenty of valuable content — but how can you quickly spot the key conversations? In this tutorial, I’ll show you an AI hack...
by Dr. Owns | Feb 17, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
The landscape of computing is undergoing a profound transformation with the emergence of spatial computing platforms(VR and AR). As we step into this new era, the intersection of virtual reality, Augmented Reality, and on-device machine learning presents unprecedented...
by Dr. Owns | Feb 14, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
Machine learning and AI are among the most popular topics nowadays, especially within the tech space. I am fortunate enough to work and develop with these technologies every day as a machine learning engineer! In this article, I will walk you through my journey to...
by Dr. Owns | Feb 14, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
Correlation does not imply causation. It turns out, however, that with some simple ingenious tricks one can, potentially, unveil causal relationships within standard observational data, without having to resort to expensive randomised control trials. This post is...
