In unsupervised learning, the exploration of large volumes of textual data is a topic of significant interest. In this article, we present our compact and easy-to-use application to explore large ...

In the first three articles of this series, we uncovered a fundamental truth: Data doesn’t fail us because there’s too little of it. It fails because we don’t treat its meaning with the care it ...

Wrapping up a multi-week series on Crafting Data Personas. What are they, why are they important, and how to get started. Continuing from last week, we’re diving right into examples of personas. I ...

Implementing and maturing Enterprise Architecture (EA) is a common challenge for organisations. They need structured ways to develop their EA capabilities effectively so that IT truly supports ...

In my previous articles, we’ve explored how data alone isn’t enough—it’s raw gold ore that needs refinement to become truly valuable. We’ve also seen how a disconnect between strategy and operations ...

With the growing capabilities of artificial intelligence come growing risks. As AI systems become more autonomous, it’s no longer enough to ask, “Does it work?” We must also ask, “Can it be misused?” ...

Artificial Intelligence (AI) is revolutionizing industries across the globe, enhancing productivity, efficiency, and innovation. However, with these advancements comes a growing concern: job ...

Stable diffusion generated image with prompt = “an illustration of a human having trust issues with generative AI technology” Generative AI can be used as a powerful resource to aid us in the most ...

In this second article of the Enterprise Architecture for Business Model Innovation Series, a design think-based approach is presented for business model design. Design thinking is a user-centered ...

Continuing my blog series on the Ethical Implications of AI, this is part 4 of a much larger series on Ethical, Governance, Data Governance, and Societal concerns related to AI. There will be about 15 ...

Artificial Intelligence (AI) has transformed various industries, with healthcare being one of the most significant beneficiaries. From improving diagnostics to personalizing treatment plans, AI’s ...

Training AI models like GANs (Generative Adversarial Networks), LLMs (Large Language Models) and SLMs (Small Language Models) requires large amounts of high-quality data. However, acquiring sufficient ...