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Empowering an MCP server with a telemetry pipeline

Sep 5, 2025 By Mezmo In Mezmo

This blog was authored by Jason Bloomberg, Managing Director, Intellyx BV ‍ Observability depends upon telemetry – the data streaming from various applications, services, and systems that indicate their internal state in real-time. Various tools consume such telemetry to enable both operational and cybersecurity tasks.

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Refine Faces Flawlessly with AI Image Generator Editing

Sep 5, 2025 By OpsMatters In OpsMatters

The refinement of the face has become very much necessary in digital images. Polished faces add impact whether it is professional headshot, social profile or artistic art. The classic editing techniques usually seem time consuming and demand professional skills. Some find it difficult to get natural outcomes without bending them. With the emergence of AI technology, this approach is altered. AnAI image generator is able to refine faces quickly, accurately and with a natural finish. This will be the future of non-surgical facial enhancement.

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The Next Evolution of AI: Forget Smarter Models - It's All About the Data

Sep 4, 2025 By Teneo In Teneo

It’s been a noisy summer in the AI world. Headlines have been filled with doom and gloom: For example, OpenAI’s ChatGPT-5 landing with a thud, and an MIT report claiming 95% of AI pilots are failing. For the sceptics, this is “proof” that AI is just hype. I don’t buy it. The MIT study looked at just 50 projects, a sample size so small you’d fail a basic stats exam for using it. And as someone who uses AI every single day, I can tell you the benefits are real.

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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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