Hello all, I usually write blogs based on my real-time experiences with technology. However, this time I’m sharing a non-technical blog inspired by a recent conversation. Last week, I spoke with one ...

Former member of our Podcast team and Microsoft Cloud Advocate Daniel Laskewitz is now our guest. A great opportunity to check with him the status of Gen-AI at Microsoft. Before we dive into details ...

Resolving security incidents effectively and efficiently is always a top priority for organizations. Unresolved security incidents can trigger alarm within the organization, potentially undermining ...

Balancing innovation and regulations in AI-driven data projects requires a thoughtful approach that promotes ethical and responsible AI use without stifling creativity. The intersection of AI ...

When companies embark on SAP projects, particularly with the transition to S/4HANA through greenfield or brownfield approaches, they often face a crucial decision: should they engage Quality Business ...

Dutch government aims to communicate in a way that is as accessible as possible to Dutch citizens. In some cases, this proves challenging. Some of the content to be communicated is complex or should ...

Intent classification is crucial for many AI systems, such as conversational bots, as it helps them understand and respond appropriately to user queries. Traditional methods like random forest, ...

Continuing my 3-week series on the Governance Frameworks for AI, this is part 6 of a much larger series on Ethical, Governance, Data Governance, and Societal concerns related to AI. There will be ...

As you may know, we are searching in this newsletter for Regenerative Intelligence. The explorations in this newsletter are also the basis of a soon to be published report with a similar name. I’ve ...

In modern software development, abstraction layers have become both a powerful tool and a potential pitfall. Frameworks like Entity Framework (EF) and Kubernetes (k8s) are designed to simplify complex ...

In today’s complex business landscape, data is everywhere, including customer records, transaction logs, sensor readings, and social media metrics. Yet, a critical misunderstanding can lead to poor ...

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 ...