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Your AI agent may be ready. Your sales motion probably isn’t.

Presented by Salesforce Interested buyers don't generate revenue. Live customers do. That's the lesson I keep drawing from watching hundreds of ISV partnerships navigate the agent economy over the last 18 months. The companies pulling ahead aren't winning on features. They're winning because customers can move from discovery to live deployment in hours, while competitors are still negotiating contracts, clearing tax reviews, and waiting on provisioning. That gap between a buyer who says “yes” an

Aug 11, 2026 ·VentureBeat

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Nvidia's Switchyard router reshuffles AI models mid-task, cutting task costs to a third in its own tests

Enterprises running always-on AI agents keep hitting the same tradeoff. Send every task to a frontier model and the bill climbs fast. Build custom routing logic to send easy tasks to cheaper models and that becomes its own engineering project, one that has to be maintained every time a workflow changes. Nvidia is proposing a fix that touches both ends of that problem at once. The company is out on Tuesday with Nemotron 3.5 Lightning, a 30-billion-parameter open mixture-of-experts model built for

Aug 11, 2026 ·VentureBeat

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LTX-2.5 can generate a 10-second AI video from an image in just 6.8 seconds on Nvidia superchips — and it's open weights

LTX, the open world model company spun out of Lightricks, today released LTX-2.5, the newest version of its open-weights video and "world" model and it arrives natively integrated into ComfyUI, the node-based workflow tool that has become the de facto prototyping environment for open generative media, through a strategic day-one launch partnership between the two companies. The model is available now as open weights on Hugging Face, inside ComfyUI, and through the LTX API for teams that want man

Aug 11, 2026 ·VentureBeat

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AI finds so many Windows flaws, Microsoft can’t keep up. Should you worry?

Be careful what you wish for. That’s what Microsoft found out recently when it discovered that AI — rather than making Windows more secure by helping the company close security holes — could help hackers find flaws faster than Microsoft can fix them. It’s put Microsoft in a serious bind. Should the company devote a potentially massive amount of resources to fix every AI-unearthed security issue as fast as it can? Or should it rush to close the most important ones, and clean up the minor ones lat

Aug 11, 2026 ·Computerworld

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Meta’s local AI model prompts enterprises to rethink hardware-software cost trade-off

Meta rolled out a new 30-billion-parameter AI model optimized to run on a PC or Mac with a single GPU on Monday, offering a way to run always-on agentic workflows locally rather than relying on the cloud. The company has dubbed it Muse Glimmer. However, its hardware demands, including a GPU with a minimum of 24GB of VRAM, could make it difficult to justify for deployment at scale. Although analysts and consultants agree that there is a tremendous enterprise appetite for running models locally, d

Aug 11, 2026 ·Computerworld

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