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Cybersecurity leaders are being asked impossible questions. “What’s the likelihood of a breach this year?” “How much would it cost?” And “how much should we spend to stop it?” Yet most risk models used today are still built on guesswork, gut instinct, and colorful heatmaps, not data. In fact, PwC’s 2025 Global Digital Trust Insights

Introduction Let’s start with a simple example that will appeal to most of us. If you want to check if the blinkers of your car are working properly, you sit in the car, turn on the ignition and test a turn signal to see if the front and rear lights work. But if the lights

Feature Selection is the process of selecting an optimal subset of features from a given set of features; an optimal feature subset is the one which maximizes the performance of the model on the given task. Feature selection can be a manual or rather explicit process when performed with filter or wrapper methods. In these

Not long ago, a cooperation partner casually approached me with an AI use case at their organization. They wanted to make their onboarding process for new staff more efficient by using AI to answer the repetitive questions of newcomers. I suggested a practical chat approach that would integrate their internal documentation, and off they went

Introduction To put things straight: I will not discuss how to optimize DAX Code today. More articles will follow, concentrating on common mistakes and how to avoid them. But, before we can understand the performance metrics, we need to understand the architecture of the Tabular model in Power Bi.The same architecture applies to Tabular models

In this article, I’ll give a brief introduction to the MapReduce programming model. Hopefully after reading this, you leave with a solid intuition of what MapReduce is, the role it plays in scalable data processing, and how to recognize when it can be applied to optimize a computational task. Contents: Terminology & Useful Background What

Intro Agents are AI systems, powered by LLMs, that can reason about their objectives and take actions to achieve a final goal. They are designed not just to respond to queries, but to orchestrate a sequence of operations, including processing data (i.e. dataframes and time series). This ability unlocks numerous real-world applications for democratizing access

How many times have you had a messy Jupyter Notebook filled with copy-pasted code just to re-use some data wrangling logic? Whether you do it for passion or for work, if you code a lot, then you’ve probably answered something like “way too many”. You’re not alone. Maybe you tried to share data with colleagues

Introduction AWS is a well-known cloud provider whose primary goal is to allocate server resources for software engineers to deploy their applications. AWS offers many services, one of which is EC2, providing virtual machines for running software applications in the cloud. However, for data-intensive applications, storing data inside EC2 instances is not always the optimal