by Dr. Owns | Mar 7, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
Introduction In my previous article, I discussed one of the earliest Deep Learning approaches for image captioning. If you’re interested in reading it, you can find the link to that article at the end of this one. Today, I would like to talk about Image Captioning...
by Dr. Owns | Mar 7, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
In Game Theory, the players typically have to make assumptions about the other players’ actions. What will the other player do? Will he use rock, paper or scissors? You never know, but in some cases, you might have an idea of the probability of some actions being...
by Dr. Owns | Mar 6, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
Despite the AI hype, many tech companies still rely heavily on machine learning to power critical applications, from personalized recommendations to fraud detection. I’ve seen firsthand how undetected drifts can result in significant costs — missed fraud detection,...
by Dr. Owns | Mar 5, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
Introduction If you’ve ever analyzed data using built-in t-test functions, such as those in R or SciPy, here’s a question for you: have you ever adjusted the default setting for the alternative hypothesis? If your answer is no—or if you’re not even sure what this...
by Dr. Owns | Mar 5, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
Introduction Let’s talk about Kubernetes probes and why they matter in your deployments. When managing production-facing containerized applications, even small optimizations can have enormous benefits. Aiming to reduce deployment times, making your applications better...
by Dr. Owns | Mar 5, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
Introduction Many generative AI use cases still revolve around Retrieval Augmented Generation (RAG), yet consistently fall short of user expectations. Despite the growing body of research on RAG improvements and even adding Agents into the process, many solutions...
