Artificial intelligence has made spectacular progress, thanks to increasingly complex and powerful models driving innovations across industries. However, as models grow larger, they require more ...

Information does not exist in systems. It exists in people. Yet we treat it like a technical object — something that can be owned, stored, or automated. UIMF challenges that view. It provides a ...

In the rapidly evolving landscape of generative AI, one challenge that stands above others is ensuring AI systems truly understand what users want. Whether you’re building AI applications or simply ...

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 ...

Last time, we asked why AI red teaming matters. This time, we show you how it’s actually done. From jailbreaking chatbots to simulating rogue agents, red teamers use a mix of hacker mindset and ...

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 ...

Recently I asked my friends and followers on LinkedIn to provide some things they think about related to Data Governance if they were interested in my perspective on it. Doug Ross came up with “given ...

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

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 ...

Have you ever wondered what is coming our way? Intelligent robots have been a topic in books and films for decades. One of the important authors on robots, Isaac Asimov, started writing on this topic ...

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 ...

We recently published a blog, the first of a six-part series, about the importance and necessity of having a solid MLOps implementation. There, we introduced the diagram seen in Figure 1. It is a ...