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opsmatters

Can AI Help with Writing IT Blog Posts?

Feb 18, 2025 By OpsMatters In OpsMatters
Blogging is essential for IT professionals to share knowledge, explain complex topics, and establish thought leadership. However, writing clear, engaging, and technically accurate blog posts can be challenging, especially when dealing with highly specialized subjects. Many IT experts are skilled at problem-solving and coding but may struggle to translate their insights into easy-to-read content. AI-based writing tools play a major role in this. IT professionals can use cutting-edge technology to create targeted content that is more engaging and hooking for audiences.
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Aiven AI Insights - Ongoing Performance Actionable Insights

Feb 17, 2025 By Aiven In Aiven
The Aiven Platform is more than a collection of open source services for streaming, storing and analyzing data. The platform ensures that all services run reliably and securely in the clouds of your choice, are observable, and can easily be integrated with each other and with external 3rd party tools.
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civo

Introducing relaxAI: The smart AI assistant you can trust

Feb 17, 2025 By Mark Boost In Civo
We’re excited to launch relaxAI, an AI assistant designed with one paramount focus: your privacy. In a world where AI tools are becoming indispensable but concerns about data usage are at an all-time high, relaxAI has been created as an assistant you can trust by combining cutting-edge AI capabilities with an unwavering commitment to security and transparency.
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iOPEX

Fine-tuning a Pre-trained GenAI Model - A Complete Guide

Feb 17, 2025 By iOPEX Team In iOPEX
Ever been on the receiving end of a useless chatbot response? Imagine asking, “Why is my 5G down in this area?” and getting, “Try restarting your device.” No context. No understanding. No real help. The issue here, however, isn’t bad intent—it’s that the bot doesn’t understand telecom-specific language or service outage patterns. Instead of easing your support load, it’s driving frustrated customers to jam your support lines.
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canonical

7 considerations when building your ML architecture

Feb 17, 2025 By Andreea Munteanu In Canonical
As the number of organizations moving their ML projects to production is growing, the need to build reliable, scalable architecture has become a more pressing concern. According to BCG (Boston Consulting Group), only 6% of organizations are investing in upskilling their workforce in AI skills. For any organization seeking to reach AI maturity, this skills gap is likely to cause disruption.
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opsmatters

Digital Asset Management for Game Development Success

Feb 17, 2025 By OpsMatters In OpsMatters
Creating a game is like building a massive puzzle; every piece-textures, models, audio files, and scripts-must fit perfectly. Managing these digital assets can quickly become overwhelming without the right tools and strategies. That's where digital asset management (DAM) steps in to save the day.
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megaport

Building Production-Ready AI Infrastructure: How Megaport and Vultr Are Solving the Enterprise Challenge

Feb 13, 2025 By Kevin Dresser In Megaport
In bridging traditional enterprise environments with modern GPU resources, we're helping organizations build AI infrastructure that's truly ready for production workloads. Co-authored by Duncan Ng, Vice President Solutions Engineering, Vultr As enterprises move from AI experimentation to production deployment, most are realizing a fundamental truth: Successful AI adoption requires more than just access to GPU computing power.
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logz.io

The Advanced Data Compression Techniques That Quietly Power Logz.io's AI Observability Agents

Feb 13, 2025 By David Lotan Bolotnikoff In logz.io
As an observability leader, at Logz.io, we pride ourselves on continuous innovation. That’s why, last year, we released our AI agents to revolutionize observability by helping businesses, and their engineering and DevOps teams, automate data analysis and root cause analysis. The primary way in which engineering and DevOps teams interact with the agents is by asking performance, troubleshooting, and optimization-related questions.
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AI in Embedded Systems: A Black Box You Must Learn To Control

Feb 13, 2025 By Memfault In Memfault
AI isn’t predictable, it adapts, making embedded engineering even more complex. A model that works in the lab might fail in the real world. So, how do successful teams deploy AI at the edge? A/B test models in the field—controlled environments aren't enough. Collect real-world performance data—observability tools are key. AI deployment isn’t a one-and-done process. It requires constant iteration and real-world validation.
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canonical

AI in 2025: is it an agentic year?

Feb 12, 2025 By Andreea Munteanu In Canonical
2024 was the GenAI year. With new and more performant LLMs and a higher number of projects rolled out to production, adoption of GenAI doubled compared to the previous year (source: Gartner). In the same report, organizations answered that they are using AI in more than one part of their business, with 65% of respondents mentioning they use GenAI in one function.
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