The integration process is over. The API keys have been generated; the security policies have been checked, and you are already making sure your AI solution interacts with your business application systems like ERP, CRM, customer portals, documents, and databases. Looking from the outside, your project is done. But the real story is just beginning here. Moving your AI into production is moving your innovation from being a passive participant in your business to becoming an ac

But today everybody talks about AI. However, "AI" does not mean only that. Now we have GenAI, AI agents, Agentic AI, etc. All these things are different from each other even if the terms are pretty close. Now I will show you the difference between all of these. Different Brains Behind AI 1. GenAI What it does: Creates new content text, images, code, and audio. Actual use case now: With GenAI, JPMorgan Chase can condense 15,000-word legal documents to 3-page briefs in just a

This article was originally published in PMimpact Magazine, published by the PMI Germany Chapter. As organizations navigate increasing complexity, artificial intelligence is evolving beyond automation and analytics into a strategic advisory capability. Rather than simply reporting on what has happened, AI can help leaders evaluate options, assess trade-offs, identify risks, and support better decision-making. In this article, I explore how AI is increasingly being used as a s

Building End-to-End Data Pipelines Concept of using AI in analysis and planning Moment That Looks Like Progress — But Isn’t It is 4:47 PM on a Thursday, and the AI model completed its calculation. The results are solid: 37% savings in delivery costs within the region if three distribution centers merge and routing uses dynamic time windows. The confidence level is high. The following Monday, the insight has been shared twice already. The meeting is set for “alignment” on Wedn

It's not about adopting AI, but about redesigning how your business learns Introduction: Everyone says they’re transforming. Almost no one is. The way corporations speak nowadays gives one the impression that we are already living in an age where AI has transformed everything around us. Every single company seems to be either “AI-first” or “AI-powered” or “AI-driven.” However, if you dig deep, you will find that hardly anything has actually happened yet. Decision-making still

During a project, AI started giving inconsistent results, which affected decisions. Have you faced something similar? How did you handle it?