We’re different. Remember that. We’re insightful, and remember that too, and remember that a big reason why we’re insightful is that we’re different. Andover Intel is based on a simple principle, which is that to understand tech, you have to understand what tech buyers are doing, expecting, justifying. We’ve established a user contact program that…
AI Regulation: Uncertainty at All Levels
Should AI be regulated? How should AI be regulated? Who should regulate AI? Lots of questions here, and lots of answers. As usual, when technology and politics merge, we tend to get the worst of both worlds, but enterprises have a view here, and so do I, based on decades of both tech and political…
Are We Creeping Up on Realism?
We may be approaching, however tentatively and indirectly, the point where some AI reality takes hold, both in general and in terms of AI’s impact on the network. It’s not that actual enterprise AI types have changed, but that what most of them have known from the first is starting to influence broader media and…
AI Agent Thinking is Evolving and That Might Redeem Cloud AI Investment
AI is clearly not a single initiative. Enterprises view it as an implementation of their familiar software component model of application-building. The four AI giants clearly view it as a kind of back-door way to move everything to the cloud, when simply claiming that would happen has obviously failed. The question is whether some model…
How AI Seems to be Going This Spring
It’s another earnings season on Wall Street, and we continue to see evidence that the Street is antsy about the ROI that AI can generate. The difference between this and the rosy stories about AI we keep reading is a bit alarming, an indication of a problem I’ll look at tomorrow. Today, we need to…
Ad Sponsorship, Online Publications, and Tech
I read a LinkedIn Post by David Linthicum, and it made me think about the way tech journalism used to be, how it is today, and why the change is bad for the industry. Yes, I know that most of my generation are justifiably criticized for being against change, but I’ve had a career founded…
Network Changes We Can Expect from AI
We’ve looked this week at the potential paths for AI agent payoffs, for real business cases. We’ve looked at the forces enterprises say are really behind any changes in network technology or spending. Lets now look at the specific goals and technologies the drivers lead to, in order to make those prospective business cases. Where…
How AI Agents Could Impact Traffic Flows
It’s time now to look at how a maturing AI agent deployment model would impact traffic flows. Assessing the impact that AI would have, and more significantly the impact of “horizontalizing” applications, with or without AI, would have on networks isn’t a simple topic. In fact, while 221 enterprises have offered comments on this in…
Network Changes Will Follow AI Money
Where will network changes be taken by AI? Where money takes it. Do AI agents boost profit by expanding sales? That’s always hard to prove, and currently enterprises say that most IT projects are justified by cost reductions. Then, where does the savings from AI agents come from? That’s a question that I’m eager to…
Network Evolution Follows Data Flow Evolution
It’s likely not a surprise to any who have followed my views to hear that I don’t think AI is going to revolutionize the WAN. The data center network, yes. It may surprise some to hear me say that I think AI isn’t the only force acting on the data center, though, and to hear…
The Basis for Low-Latency Service Opportunity
The real change that the Internet brought about, in network service terms, is a shift from human consumption of connectivity to human consumption of applications through connections. If low-latency services are the future of telecom, then what do the “services” serve, in terms of applications, and how do the applications develop? That’s the key question…
