Nvidia Corp.‘s latest results are remarkable even by its own high bar. Revenue set new records, driven by a 90%-plus surge in data center demand and what management described as “parabolic” demand as Blackwell systems ramp across hyperscalers, artificial intelligence clouds, auto and sovereign customers. But the more important story is how quickly the AI economy is reorganizing around what Chief Executive Jensen Huang calls “AI factories” and “agentic AI.”
Startup Forward Inc. today rolled out Forward Predict, software that lets customers model the impact of network changes before changes go live. Rather than a routine feature update in a crowded artificial intelligence networking market, the move signals a broader shift in how networks should be designed, operated and trusted as AI becomes central to enterprise information technology.
Veeam Software Group GmbH used VeeamON 2026 in New York City this week to punctuate its shift from “the backup company” to a data and artificial intelligence trust platform for the agentic era. With a new architectural layer and an aggressive product roadmap, Chief Executive Anand Eswaran (pictured) and President of Products and Technology Rehan Jalil are betting that the next decade of enterprise infrastructure will be defined less by how quickly you can restore a virtual machine or data set and more by how confidently you can let AI act on your data.
RingCentral Inc.‘s latest quarter shows a company that has quietly turned artificial intelligence from a future story into its primary engine for product differentiation, operational leverage and, increasingly, growth. What started as a unified-communications-as-a-service provider is evolving into an AI-first customer engagement platform, with RingCentral AIR and related products at the front door of every conversation.
At this year’s IBM Think, Chief Executive Arvind Krishna’s keynote focused on artificial intelligence’s impact on the modern enterprise. Instead of the usual tour through features and roadmaps, his talk challenged information technology leaders. The real divide in the next decade won’t be between those who do and don’t use AI, but between those who rebuild their operating models around AI and those who stay stuck in pilots and proofs of concept.