In practice, that means setting the rules for identity, model access, permissions, logging and human approval before AI tools or agents are allowed to operate inside business workflows. The practical starting point is to identify where AI is already touching repositories, tickets, internal knowledge and business systems, then establish a minimum common control set across…
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…
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.…
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…
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…
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…
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…
Traditional keyword-based enterprise search fails to keep up with modern, unstructured data in emails, wikis, and chat, leading to massive productivity losses. Organizations must treat search as a strategic capability and adopt hybrid or AI-powered retrieval to unlock institutional knowledge and gain a competitive advantage. Enterprise search was never really broken. It just stopped keeping…
Most organizations today include AI in their strategic roadmaps. These strategies often focus on selecting technologies, defining use cases and executing deployments. Yet many fail to generate sustained impact. What is often missing is not ambition or capability, but a clear design for how AI should be deployed into real work. This gap explains a…
Most enterprises I talk to say they have an AI skills gap. That sounds plausible right up until you look at what companies are doing. They are spending millions on copilots, launching AI academies, hiring chief AI officers and rolling out internal training at scale. Yet for all that activity, most organizations still do not…