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The Critical Role of Networks in AI Data Centers

Sep 4, 2025 By Phil Gervasi In Kentik

The fastest GPU is only as fast as the slowest packet. In this post, we examine how the network is the primary bottleneck in AI data centers and offer a practical playbook for network operators to optimize job completion time (JCT).

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Sharpening My React Hooks Knowledge With ChatGPT

Sep 4, 2025 By Kat Telles In Honeycomb

I’m a product engineer at Honeycomb. While my work spans the stack, I’m currently focused on deepening my frontend expertise. To support this, I’ve been using ChatGPT as a study assistant. It’s helped me break down complex topics with clear explanations, real-world examples, and—critically—interactive practice. The most effective formats I’ve found.

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Transform your public sector organization with embedded GenAI from Elastic on AWS

Sep 4, 2025 By Marianna Jonsdottir In Elastic

Elastic featured in AWS Generative AI Hub for public sector Elastic is proud to be featured in the new AWS Generative AI Content Hub for public sector — a destination showcasing the most impactful ways agencies can securely adopt and scale generative AI (GenAI).

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What companies get wrong about LLM evals w/ Groq

Sep 4, 2025 By Rootly In Rootly

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Episode 25: The dark side of GenAI: deepfakes, data and the future of trust ft. Malini Christina Raj

Sep 4, 2025 By ManageEngine In ManageEngine

Generative AI is changing the way we work, create, and even trust what we see online. In this episode of Server Room, we sit down with Malini Christina Raj, Head of LATAM AI Research at Zoho Corp, to unpack the realities behind GenAI. From building models and the math that powers them, to data curation, privacy, AI agents, reinforcement learning, and the growing threat of deepfakes, we cover it all. Whether you’re an engineer, policymaker, or just AI-curious, this conversation will help you understand where AI is today and where it’s headed next.

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MusicCreator AI Review: Redefining Creativity with AI-Driven Music

Sep 4, 2025 By OpsMatters In OpsMatters

What sets MusicCreator AI apart is its philosophy: music creation should be democratized. Instead of limiting access to professionals with years of training, it puts tools into the hands of hobbyists, content creators, and indie producers. The result is a powerful solution that bridges technology and artistry.

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Top Use Cases of Generative AI Services for Modern Businesses

Sep 4, 2025 By OpsMatters In OpsMatters

Budgets are tight. Timelines are shorter. Customers expect speed and personalization. That is why leaders keep asking for clear, proven generative AI use cases that translate into revenue lift and cost savings. The aim is simple: move from ideas to outcomes without wasting cycles. Many teams begin with pilots, templates, or generative AI services that bundle models, data access, and publishing paths. This lowers setup time and shows impact early.

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How AI Is Revolutionizing the Way We Share Written Content

Sep 4, 2025 By Rilwan Kazeem In OpsMatters

Think about the time and resources you expend when writing content-maybe a blog, newsletter, or landing page. Now, imagine being able to automate how you generate ideas, create drafts, optimize content for SEO, and other demanding aspects of sharing written content. That's precisely what AI is doing in the marketing landscape today.

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Agentic AI: Cutting through the hype to what really matters

Sep 3, 2025 By ManageEngine In ManageEngine

The world of agentic AI is evolving fast–but so is the noise surrounding it. As AI agents promise to revolutionize workflows and decision-making, IT and business leaders are left wondering: What's real, what's hype, and what's worth investing in? In this candid and practical session, we'll break down the current landscape of agentic AI and help you navigate it with clarity. Agenda.

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The hidden costs of shadow AI: CPU drain, data risk, and network bottlenecks

Sep 3, 2025 By Ben Botti In Auvik

The risk of headline-grabbing incidents, like Samsung’s ChatGPT data leak, related to AI usage outside of the authorization and control of IT (a.k.a. shadow AI) is clear. Most IT teams recognize that a high-profile incident can have serious repercussions. However, the risk of shadow AI goes well beyond the risk of a single incident. In fact, the recent Komprise IT Survey indicates that 79% of organizations have experienced negative outcomes from sending corporate data to AI.

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