Deep insights for enterprise AI, data, and security leaders
How enterprises coordinate and scale AI in production.
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Presented by Capital One
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Presented by SAP
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Enterprises that run more than a handful of AI agents in production face risk, cost and oversight burdens that grow exponentially with every agent they add, says Felix Van de Maele, founder and CEO of data governance company Collibra. In a conversation with VentureBeat founder and CEO Matt Marshall at VentureBeat's AI Week event in New York, Van de Maele traced most agent failures to the business context those agents receive — and said companies need deterministic controls on agent behavior before their agent count grows.
The hardware and platforms underneath enterprise AI.
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Presented by Google Cloud
Data platforms make decisions all day. An SQL query keeps the rows over a threshold, matches a keyword, and joins two tables on a shared ID. A pipeline sends a failed job down a retry path. Rules like these work when the answer sits in the data in a clean form.
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As confidential computing comes to GPUs, it can protect sensitive workloads, but enterprises also need evidence that they can identify agents, isolate tenants and revoke access without disrupting operations.
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Presented by Retool
Enterprise tech coverage through the lens of AI adoption.
Falling token prices have led many enterprises to assume AI costs will fall with them. Agents are breaking that assumption.
GPUs running large language model inference can spend up to 60% of their compute recalculating context they already processed, says Alan McSeveney, field CTO at WEKA. Speaking with VentureBeat lead analyst Rob Strechay at the latest stop in the VentureBeat AI Impact Series, McSeveney said the waste goes back to how large language models hold conversation history in GPU memory, arguing that fixing it lets companies serve several times more users on hardware they already own. The efficiencies WEKA customers struggle with most show up in infrastructure, separate from the application metrics each business tunes for its own domain.
