CIOs entered the year with ambitions to bring more AI into their companies and start using AI to transform how work gets done. At the same time they also wanted to leverage tech to cut costs and boost productivity throughout the business. And they hoped to use their post to help drive the strategic vision…
DetailsThe AI industry says enterprises can’t absorb AI. Its answer is to absorb it for them. That’s not the same thing. The engineer across the table knew the model cold. Not vendor-deck cold. He could tell me where it would break, what it would cost, and which benchmark numbers to ignore. One of the better…
Details“Claim your ground, lead your business” is the overarching motto of this year’s German-speaking SAP User Group (DSAG) congress — a slogan the organizers say aims to bring SAP’s technological vision in line with the concrete challenges faced by its customers, complete with a striking Western motif. The congress, in its 27th year, kicked off…
DetailsThe first wave of enterprise AI deployments was straightforward: a chat interface calling a model, wrapped around a few clear use cases. The next wave is driven by autonomous agents that maintain state, revisit context, call tools and act under real permissions. This means enterprise AI teams must design inference, compute and deployment so those…
DetailsPer-token pricing has become the default commercial language of generative AI, and practically every budget conversation now happens in those terms (tokens consumed, tokens generated, cost per million tokens, etc., etc.). The problem is that this model treats every AI interaction as a discrete transaction, separate from the infrastructure required to process it. Yes, tokens…
DetailsIT and security leaders are well-versed in the risks of unauthorized integrations, misconfigured tools and vendor compliance. Now, AI has introduced a separate and harder-to-detect problem. Across every function, employees use provisioned AI tools to generate production-grade code, build automated workflows and deploy agents to support business processes. That experimentation is happening without visibility into…
DetailsThe AI revolution is experiencing some growing pains. Across industries, business leaders are confronting the same challenge: AI pilots dazzle, but they don’t scale. An agent that reasons brilliantly in the sandbox turns unreliable the moment it touches a real, regulated business process. As a result, Gartner projects that more than 40% of agentic AI initiatives…
DetailsCIOs, it’s time to rethink your mobile device lifecycle Let’s start with an uncomfortable question: how much risk is hiding in devices that are no longer receiving security updates? Enterprise mobility management (EMM) and mobile device management (MDM) solutions can give IT visibility across a device fleet. But visibility is only part of the equation. CIOs…
DetailsHuman work has gone through several revolutions over the past few decades, each of them bringing a start to new careers and an end to others. Software careers, which seemed virtually untouchable a short while ago, have been touted as among the most prominent victims of artificial intelligence. On the surface, it’s easy to see…
DetailsAI models are becoming short-term tenants in long-lived enterprise data estates. Yet many organizations are remodeling the building around each new occupant. The market keeps asking which model enterprises should trust: open or closed, domestic or foreign, one frontier provider or another. These are legitimate questions. They are also questions with a very short shelf…
Details