Dominique Ronde

Dominique Ronde is a Staff Solution Engineer, PhD candidate in Applied Artificial Intelligence, and author focused on AI, data streaming, Apache Kafka, Apache Flink, and real-time system architecture. With more than 20 years of experience in IT, data platforms, and digital transformation, he helps organizations design reliable, scalable, and practical data systems. On Big Data Pilot, he writes about AI, machine learning, event streaming, software engineering, and the realities of building technology that actually works in production.

AI Ethics: The 3 Critical Questions on Bias, Accountability, and Transparency

1 Kommentar / AI/ML /

Artificial Intelligence is often presented as a technical breakthrough, but that is only half the story. The more interesting half starts when the model leaves the notebook, enters a workflow, influences a decision, and suddenly has consequences for people who never agreed to become part of an experiment. That is where AI ethics becomes practical. […]

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Non-Coding AI Roles: Why Business, Product, and Domain Experts Drive AI Success

1 Kommentar / AI/ML /

You don’t need to code to work in AI. But you do need to understand what you’re doing, why it matters, and where your expertise ends. The AI conversation today swings between two false extremes. Some still treat AI as a technical fortress for machine learning engineers and data scientists alone. Others claim AI tools

Non-Coding AI Roles: Why Business, Product, and Domain Experts Drive AI Success Weiterlesen »

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

2 Kommentare / AI/ML, Use Cases /

If the last decade proved that AI works, the next one will prove whether it can work responsibly, sustainably, and at scale. We have seen the prototypes, watched the demos, read the pitch decks, and survived enough “AI will replace everyone” panels to qualify for hazard pay. The technology is impressive, but the real test

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 Weiterlesen »

5 Real AI Applications Already Improving Your Life

AI/ML, Use Cases /

AI often gets sold like a movie trailer: robots, revolutions, and the promise of sentient assistants that’ll someday file your taxes and raise your kids. But most real AI? It’s quieter. Less dramatic. And far more useful. If you think AI is all buzzwords and beta-stage experiments, you’re probably overlooking the systems already working behind

5 Real AI Applications Already Improving Your Life Weiterlesen »

Vibe Coding Isn’t Engineering—It’s Playing With Matches in a Server Room

AI/ML /

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, paste, tweak a few lines, and ship an app before your leftovers are warm in the microwave.No Git hygiene. No input validation. No tests. And definitely no clue.But hey—it compiles, so it must be fine,

Vibe Coding Isn’t Engineering—It’s Playing With Matches in a Server Room Weiterlesen »

If Your AI Use Case Needs Perfect Data, It’s Not a Use Case—It’s a Wishlist

AI/ML /

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 missing. It’s mislabeled. The schema changed without warning. A key field is suddenly NULL for 3,000 rows. And the lookup table you depend on? It got overwritten at 2 a.m. by someone testing a new

If Your AI Use Case Needs Perfect Data, It’s Not a Use Case—It’s a Wishlist Weiterlesen »