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Enterprises struggling to advance artificial intelligence initiatives beyond experimental pilots should stop inventing novel return-on-investment benchmarks and measure existing operational indicators instead, according to Colleen Aubrey, senior vice president of Applied AI Solutions at Amazon Web Services.
Amazon shares declined 3.52% on Nov. 5 as investors balanced Amazon Web Services' high margins against the heavy infrastructure spending required to fuel cloud growth.
Across the United States, communities are uniting in opposition to the development of new AI data centers, transcending traditional political divides.
The AI cloud provider is adding the software behind Ray to build a broader infrastructure stack.
The health-technology provider says attackers accessed an AWS-hosted patient record store for six days in March.
The model infrastructure company says annual recurring revenue has passed $1 billion as customers deploy more specialized AI systems.
The new workflow creates a short-lived Cloudflare environment that can be claimed or allowed to expire.
The open-source database platform is financing faster growth as AI agents generate more applications and infrastructure demand.
The new system connects marketing data, content, analytics and automated work across the customer lifecycle.
A single integration is designed to expose catalogs, payments and order workflows to AI shopping agents.
The startup is building software intended to let data-center networks adapt automatically to changing AI workloads.
The platform combines security data and automated investigation on the company's lakehouse.
The startup formerly known as mcp-use is turning an open-source toolkit into a managed platform for deploying the connectors used by AI applications.
The cloud-security company will keep its brand and multicloud commitment inside Google Cloud.
The Y Combinator startup is making its streaming platform generally available as AI developers look for simpler ways to process live data.
The durable-computing company reached a $5 billion valuation as enterprises look for infrastructure that can keep long-running AI work on track.
The Series C extension values the developer platform at $1.5 billion as more teams need persistent infrastructure for applications and agents.
The observability startup reached an $800 million valuation as companies seek better ways to test and improve applications built on language models.
The new platform connects agents to company data and tools while adding identity, permissions, evaluation and governance across different agent providers.
The company is applying foundation-model techniques to tables and relational data, an area where text-focused AI systems often struggle.
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