The most successful companies of the next decade will not just use AI. They will be organized around it. The AI-augmented enterprise is an operating model where human expertise and AI capabilities form a continuous feedback loop, enabling organizations to sense, decide, and act faster than ever before.
Many teams have ideas, but they lose time between gut feelings, vague requirements, and lengthy alignment meetings. In this workshop, I demonstrate live how we use Artificial Intelligence to drastically shorten the path from idea to prototype.
Keynote at the CTO Forum of the Rudolf-Diesel-Medaille. Hosted by Zühlke, Munich
We Are Living in the AI Hype Era # AI is dominating headlines. From natural language interfaces to automated code generation, the pace of development is relentless. But alongside this excitement, we are seeing inflated promises, rushed implementations, and disappointing returns.
Romano Roth advocates the importance of companies focusing on the developer experience and enabling developers to concentrate on creating business value.
How can organizations reduce costs while still delivering real value to their customers? This is a question I get asked frequently, and one that a client recently brought to me when they wanted a keynote for their solution architects. In this talk, I walk through the key principles and practical techniques for continuously delivering value while cutting unnecessary spending.
Many software organizations spend too much effort building and maintaining features that create little real value. This talk shows how to reduce cost not by slowing down delivery, but by improving effectiveness and efficiency at the same time.
In August 2025 I will release my new book, The Cybernetic Enterprise: How to Build a Future-Ready Organization.
It is the product of two decades spent guiding enterprises through DevOps, platform engineering and, more recently, AI-driven transformation. Today I want to give you a deeper look at what the book delivers, and why it matters right now.
I recently joined Ben on the We Chat Tech podcast for a wide-ranging conversation about DevOps, leadership, career growth, and the future of AI in software engineering. Over 23 years at Zühlke, I have worked across industries helping organizations transform how they deliver software. In this episode, we covered everything from the fundamentals of DevOps to the skills that future engineers will need.
In today’s rapidly evolving digital landscape, enterprises must strategically leverage advanced technologies to stay competitive and drive innovation.
Enterprise Architecture Meets AI # This presentation explores the intersection of Enterprise Architecture and Artificial Intelligence, focusing on how organizations can implement and benefit from robust platform strategies.
Is DevOps dead? That claim keeps appearing on the internet, with people arguing that platform engineering is taking over. In this talk, which I gave at the Developer Experience Conference at Roche in Poznan, Poland, I explain why DevOps is absolutely not dead and why platform engineering is the key to making it actually work at scale.
When the CEO or CIO comes to you and says “We need AI in our development process,” the right response is not to start implementing immediately. The right response is to ask: why? In this talk at Conf42 Platform Engineering, I walk through the complete journey from identifying value stream bottlenecks to implementing AI-augmented DevOps on a real platform, including a live demo.
Have you ever wondered how companies build those impressive AI applications and keep them running reliably in production? In this video, I take a deep dive into MLOps, the discipline that makes it possible to continuously develop, deploy, and improve machine learning solutions at enterprise scale.
