Latest Update:
Saga Pattern in Apache Flink: When It Works, When It Breaks, and What to Do Instead
Someone came up to me at a conference and asked how they should implement the Saga pattern in Apache Flink and I think this is worth a written blogpost as…
Most recent updates
90 Days Around the World: AI, Business Travel, and What Companies Still Get Wrong
The original plan was never to do a world tour. It just slowly escalated from „one conference and a few customer meetings“ into Dubai, Portugal, Germany, Singapore, Japan, Hawaii, Los Angeles, London, Switzerland, and back to Dubai with enough flight segments to emotionally qualify as cabin crew. Looking back, the most interesting part was not the technology. It was watching how different cultures operate under pressure, organize themselves, communicate, and make decisions. Because once you travel long enough, you stop comparing skylines and start comparing systems. Japan and the Art…
Irregular Operations in Aviation: Why Real-Time Data Matters During Disruption
Airport Operations: Why Real-Time Data Matters for Ground Handling, Baggage and Gates
Aircraft Maintenance and Health: Why Real-Time Data Matters for Predictive Maintenance
Cargo Operations: Why Late Data Turns Air Freight Into Guesswork
Passenger Disruption Management: When Late Data Gives Passengers the Wrong Answer
Older updates
AI, Power Consumption, and the Strange Things We Suddenly Consider Worth the Electricity
There is a strange contradiction in modern society that becomes harder to ignore the deeper artificial intelligence moves into everyday…
Understanding Randomness in LLMs: Why ChatGPT Often Picks 73, 42, or 79
Over the last few days, a small AI experiment has been circulating across LinkedIn and Reddit: open a completely fresh…
Why AI Compliance Fails Without Data Lineage, Auditability, and Reproducible Decisions
There is a pattern you start to recognize after a few AI projects. The demos work and the models look…
Crew and Aircraft Coordination: Why Real-Time Data Matters in Airline Operations
Real-Time Data in Aviation: Why Late Data Is Becoming an Operational Risk
AI in Quantitative Investing: Limits of Autonomous Stock Picking Systems
AI-driven stock picking agents are often presented as the next step in quantitative investing. The narrative is compelling: autonomous systems…
Coding Agents Feel Cheap. That Might Not Last.
You open your editor, describe what you want, and a few seconds later there is code on the screen. It…
Hallucinations Are Not a Bug. They Are an Engineering Constraint.
If you believe hallucinations in AI will disappear with the next model release, this blog post might be uncomfortable to…
Everyone Talks About Agents. Nobody Talks About State.
Over the past year, the discussion in AI has gradually shifted away from models as isolated reasoning engines and toward…
Why Chasing the Next Big Thing Is a Career Trap
Some days ago in the evening, after I finished speaking at a meetup in Dubai, two young guys waited until…
OpenClaw Is Not the Autonomy Revolution You Think It Is
When you scroll through social media today, you might come away believing that OpenClaw has ushered in a new era…
Running Code AI Locally: An Engineering Reality Check
Over the last couple of days, my LinkedIn feed has been flooded with euphoric posts about “Code AI” and “local…
Teaching a Machine to Recognize Traveling Bears
This project did not start as an attempt to build a generic image recognition system or to benchmark computer vision…
Vibe Coding: Why It Feels Productive and Why It Fails Engineering
There is a growing belief that software engineering has become an optional skill and a 20-dollar subscription with the right…
Teaching a Machine to Clean Up My Document Chaos
This „project“ did not start with the ambition to build a generic document classifier or to compete with existing document…
Part II: From Models to Systems: Building Real AI Infrastructure
How streaming, feedback, and governance turn algorithms into intelligence. In Part I, we established that a Large Language Model is…
The „LLM = AI“ Myth
Why equating generative models with intelligence is technically wrong — and dangerous. At some point in the last two years,…
Why I’m the BigData Pilot
People often ask me why I call myself the BigData Pilot.It started as a metaphor but over time it became…
AI Ethics: The 3 Critical Questions on Bias, Accountability, and Transparency
Artificial Intelligence is often presented as a technical breakthrough, but that is only half the story. The more interesting half…
Non-Coding AI Roles: Why Business, Product, and Domain Experts Drive AI Success
You don’t need to code to work in AI. But you do need to understand what you’re doing, why it…
AI in 2030: 5 Predictions for Regulation, Healthcare, and WorkAI in 2030: What People Still Underestimate About the Next Decade of Artificial IntelligenceAI in 2030: 5 Predictions for Regulation, Healthcare, and Work
If the last decade proved that AI works, the next one will prove whether it can work responsibly, sustainably, and…
5 Real AI Applications Already Improving Your Life
AI often gets sold like a movie trailer: robots, revolutions, and the promise of sentient assistants that’ll someday file your…
How Machine Learning Works
You’ve heard the buzz. AI is changing everything. Machine learning is everywhere. And yet, behind all the jargon and hype,…
Vibe Coding Isn’t Engineering—It’s Playing With Matches in a Server Room
You’ve seen them.The self-declared AI builders who’ve discovered ChatGPT’s code generation and now think they’ve unlocked developer superpowers. They copy,…
5 AI Myths That Need to Die (And the Truth Behind Them)
AI has become the default headline material for everything—from the end of jobs to the rise of sentient machines to…
Stop Mixing Up AI, ML, and Data Science
If you’ve ever heard someone say “We’re doing AI” and then describe a dashboard… you’re not alone. Too many conversations…
If Your AI Use Case Needs Perfect Data, It’s Not a Use Case—It’s a Wishlist
Let’s get something out of the way:Your data isn’t perfect. It never was. It never will be. It’s late. It’s…
Most AI Fails in Deployment
Ask any AI leader how their last project went and you’ll likely hear about accuracy. F1 scores. AUC. The model…
The Hardest Part of Machine Learning Isn’t the Machine Learning
Spend enough time in the AI space and you start to notice a pattern. There’s a lot of talk about…
Real-Time Data Is Real—Your Enterprise Roadmap Isn’t
There’s a disconnect we don’t talk about enough.Data systems have gone real-time.Enterprise planning hasn’t. While Kafka pipes millions of events…
Real-Time AI Isn’t Built in Slides—It’s Built Like a Cockpit
You don’t fly a plane with a keynote. You fly it with systems that work under pressure. There’s something strangely…
Kafka Isn’t Just a Queue. And Flink Isn’t Just a Buzzword.
Why real-time systems aren’t luxury infrastructure—they’re how smart businesses stay ahead. Let’s get one thing out of the way:Batch is…
GenAI Is the Loudest Kid in Class—Not the Smartest
Why the future of AI depends on more than fancy prompts and flashy demos? A Useful Tool—But Not a Mastermind…
Batch Is Fine—for Laundry. Not for Business Decisions
Expectations Have Changed—Permanently We live in a world that expects everything now. People track their parcels obsessively. They refresh flight…
PhD Diaries: Research Isn’t What You Think
When people hear I’m pursuing a PhD in Artificial Intelligence, the reactions are nearly predictable: “You must be incredibly smart,”…
Tech Is Only as Smart as the People Behind It
Artificial Intelligence continues to redefine industries, promising automation, efficiency, and unprecedented insights. From self-driving cars to generative language models, AI…