Enterprise Architecture is a big word that hangs heavy in the air. What does it actually mean for your organisation, and how does AI fit into the picture? In this talk, which I gave at the HSLU (Lucerne University of Applied Sciences and Arts) in association with the Digital Veterans Association, I explore how Enterprise Architecture, platform engineering, and AI come together as a strategic lever for modern organisations.
Many organizations build machine learning prototypes that never make it into production. MLOps provides the practices, culture, and architecture to bridge this gap.
What This Talk Covers # This presentation outlines how MLOps helps organizations move machine learning from isolated prototypes into reliable production systems. It frames MLOps as more than a technical setup: a mindset, culture, and set of practices that unify development and operations across the full ML lifecycle, including experimentation, training, deployment, serving, monitoring, and retraining.
Every year, I go through the latest reports, articles, and industry discussions to compile a comprehensive view of the DevOps trends shaping our industry. For 2024, I mapped every major trend onto the technology adoption lifecycle to give you a clear picture of where each technology, methodology, or capability stands in terms of adoption. This framework helps you understand not just what is trending, but how mature each trend really is.
In this episode of the DevTalk podcast, my colleague Kerry Lothrop and I have a conversation about the state of DevOps. We have known each other for many years at Zühlke, and Kerry wanted to pick my brain on what DevOps really means today, where companies struggle, and where the industry is heading.
GitHub Copilot is reshaping software development by introducing AI-assisted coding into everyday engineering work. But what does this mean in practice?
What This Talk Covers # This presentation explains what GitHub Copilot is, how it works in practice, and how it supports developers through context-aware code suggestions, faster problem-solving, and reduced effort for repetitive tasks.
