EN DE NL Recently, I had an interview experience for a Digital Transformation Manager position that sparked some reflections on how we assess expertise in today’s rapidly evolving technological landscape. During the interview, I was…
EN DE If you’ve spent any time working with AI models, especially Large Language Models (LLMs), you know the power of contextual prompting. This is the approach where you don’t just give a simple instruction,…
EN DE NL You’ve probably heard a lot about AI lately – from generating text to creating images, its capabilities seem to grow by the day. But if you’ve ever tried to get an AI…
EN DE NL In a world increasingly shaped by artificial intelligence, the spotlight often falls on algorithms, data, and technological prowess. We marvel at the advancements, discuss ethical implications, and strategize for digital transformation. Yet,…
This post was generated by Gemini after an extensive interaction and exchange (prompt engineering) and the pdcasts were generated by NotobookLM. Google is my partner 😉 EN DE In today’s tech landscape, headlines often swing…
EN DE NL Here is the full version of the Image, which I found on substack, which was has been irritating for me. The photo is probably AI generated as marketing for the artisan company….
EN DE NL AI tools are revolutionizing the job application process, but it’s clear there’s a significant knowledge gap, especially within HR, about how these tools are actually used by applicants. It’s a common misconception…
EN DE NL If you’re diving into the world of Generative AI, especially for data analysis, you’ve likely encountered the challenge of getting AI to produce accurate and complex SQL queries. The common “one-shot” approach…
EN DE NL I’m a lateral thinker and I love to be creative and playing around with different methodoligies and frameworks. Since I started to work with AI, I wanted to find out, if my…
EN DE NL Explanation about the featured image in this post 😉 Data mishmash or strategic bouillabaisse? Agility, data, OKRs, design thinking—many people talk about these things. But how often do we find ourselves faced…
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