Who doesn’t want an AI to pump out more code in minutes than a human might write in a month? Who doesn’t like magic? That’s what the hype around vibe coding has asked of developers and business users alike since its inception. But now the tools might have matured enough to deliver. Yes, cautious leaders…
Management for Germany’s record-holding football championship team aims to optimize processes and provide new digital services using AI. Here, CIO Michael Fichtner discusses what the club’s IT department has implemented, and what advantages they’ll bring to the company internally, and to fans around the world. Why did FC Bayern migrate to SAP Cloud ERP Private? Migrating…
From systems to ecosystems to agents A shift has been underway for some time as value creation moves from slow, firm-centric to more rapid, co-created across a network of participants. Customers don’t experience systems; they experience outcomes. Those outcomes are assembled across a network of partners, platforms and capabilities that must work together as one.…
Artificial intelligence has had an immediate and profound impact on software development. Coding practices, coding tools, developer roles, and the software development process itself are all being reimagined as AI agents advance on every stage of the software development life cycle, from planning and design to testing, deployment, and maintenance. Download the May 2026 issue of the Enterprise Spotlight from the editors…
TOGAF definition The Open Group Architecture Framework (TOGAF) is an enterprise architecture methodology that offers a high-level framework for enterprise software development. TOGAF helps organize the development process through a systematic approach aimed at reducing errors, maintaining timelines, staying on budget, and aligning IT with business units to produce quality results. The Open Group developed the framework…
I have learned to treat small language models (SLMs) as less of a model category and more of a portfolio strategy. They are the pragmatic answer to a question leaders end up asking sooner or later: How do we scale GenAI across real workflows without turning inference cost, latency, data ownership and boundaries into a…