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iOPEX

From AI Sprawl to Orchestration: Delivering Intelligence as a Service

May 21, 2026 By Sarang Tuteja , Regional Managing Director, Europe In iOPEX
Most enterprise AI deployments were never designed to coexist. They were designed to prove a point, respond to a board directive, or secure a budget. The result, two years into the generative AI cycle, is an expanding estate of disconnected models, fragmented pilots, and overlapping capabilities that collectively deliver far less value than the sum of their parts. HFS Research calls it "death by a thousand POCs". The more precise description is architectural negligence at an enterprise scale.
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sumologic

Meet the new Mobot: Your log analysis partner

May 21, 2026 By Margaret Selid In Sumo Logic
Every single day, the Sumo Logic Platform analyzes more than four exabytes of log data. The good news? The answers to your application performance, infrastructure health, and security incidents are hidden in those logs. The challenge? Historically, uncovering those answers required query language fluency. That’s why we built Mobot, our conversational interface that connects users to advanced AI capabilities using natural language.
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cloudzero

Why AI economics needs a financial control plane

May 21, 2026 By Scott Castle, Chief Product Officer In CloudZero
Runtime guardrails and control towers govern AI activity — but without a financial control plane connecting spend to outcomes, enterprises can't tell which AI bets are worth it. Most enterprises can answer exactly one question about their AI rollout: what did we spend?
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Kentik

The "Single Pane of Glass" Is Dead - What Network Teams Actually Need Is Intelligence

May 21, 2026 By Justin Ryburn In Kentik
The infrastructure industry spent two decades chasing a single pane of glass. The future looks different: domain-expert AI platforms that reason deeply within their own data, connected through tool chaining when problems cross boundaries.
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Civo AI: Strategy over complexity

May 21, 2026 By Civo In Civo
Most cloud providers think AI is just a hardware problem. They focus on the GPUs, the racks, and the raw compute, but they leave the strategy up to you. At Civo, we do AI differently. We don't just provide the hardware; we guide you through the full life cycle of AI adoption, from initial planning to scaling production workloads. By leveraging best-in-class NVIDIA models and GPUs, we give you the performance to unlock AI at scale without the fear of being bogged down by complexity. It's more than infrastructure, it’s cloud freedom with AI built-in.
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Self-host AI on Kubernetes: GPU clusters, private models, and the GitOps Catalog

May 21, 2026 By Civo In Civo
Spin up a GPU workload cluster using Konstruct's new GPU cluster templates, deploy a self-hosted LLM, and use it in your organization — all live on stream. This hands-on session shows how shipping AI workloads to GPU clusters is just as easy as deploying to Konstruct physical or virtual clusters, and how open source apps in the GitOps Catalog make it even faster. Walk away knowing how to cut your token spend by running models privately on your own infrastructure.
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