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How I Code With LLMs These Days

Mar 4, 2025 By Phillip Carter In Honeycomb

I first started using AI coding assistants in early 2021, with an invite code from a friend who worked on the original GitHub Copilot team. Back then, the workflow was just single-line tab completion, but you could also guide code generation with comments and it’d try its best to implement what you want. Fast forward to 2025. There’s now a wide range of coding assistants that are packed with features.

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When AI tools fail: How to map your AI dependencies for proactive visibility

Mar 4, 2025 By Ankit Kumar In Catchpoint

AI platforms have experienced several service interruptions over the past few months. We’ve all seen the memes fly when ChatGPT, Gemini or Perplexity go down. They’re funny at first, but then reality hits: if you rely on AI tools for work or business, these outages can grind your day to a halt.

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Unlock Passive Income with Smart Cloud Mining: The Future of Cryptocurrency Investment

Mar 4, 2025 By OpsMatters In OpsMatters

In the fluctuating cryptocurrency market, AI cloud mining is gradually emerging as a new choice for investors. Compared to traditional mining, cloud mining is favored for its straightforward operations and substantial gains.

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Splunk AI Assistant for SPL app Overview

Mar 3, 2025 By Splunk In Splunk

Learn and write SPL faster with the Splunk AI Assistant for SPL. New to SPL? Have users who are new to SPL? No problem! Check out the video to learn how you can leverage the power of generative AI to easily write and explain SPL queries using natural language.

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AI: Where in the Loop Should Humans Go?

Mar 3, 2025 By Fred Hebert In Honeycomb

AI is everywhere, and its impressive claims are leading to rapid adoption. At this stage, I’d qualify it as charismatic technology—something that under-delivers on what it promises, but promises so much that the industry still leverages it because we believe it will eventually deliver on these claims. This is a known pattern.

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Improving Resilience for GenAI Workloads on AWS

Feb 28, 2025 By Gremlin In Gremlin

GenAI can do incredible things, but like any technology, its success depends on how we implement and use it. Without proper implementation, GenAI failures can pose significant risks to your organization's reputation and customer trust, leading to real financial impact. And like any other application, regulatory rules, SLAs, and reliability standards still apply to GenAI. With more companies integrating GenAI into their systems and products, it’s essential to make sure GenAI workloads and applications are highly available to deliver an exceptional user experience.

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AI Agents: Hype or Reality?

Feb 28, 2025 By Dan Mindru In Sentry

A few years ago, it was all about Blockchain; before that, IoT, then Big Data, and even earlier, the Cloud. Each era brought a paradigm shift of sorts, drawing huge investments and promises. Some delivered, some didn’t, but they each brought advancement in tech. Today, we find ourselves fully embracing the AI hype cycle that started circa 2022 with OpenAI.

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Beyond the Hype Blog Part 2 - DeepSeek and Other AI Models

Feb 27, 2025 By Luc Boucher In Ribbon

The recent introduction of the DeepSeek R1 (DeepSeek) Large Language Model (LLM) has shaken up the AI landscape, suggesting that new low-cost and open-sourced providers could enter the market. This disruption creates huge opportunities for service providers to drive innovation and for their vendors and suppliers to enhance or innovate in economically feasible ways.

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It's time for a new approach: Edwin AI solves ITOps biggest challenges with agentic AI

Feb 27, 2025 By LogicMonitor In LogicMonitor

For years, the term “AIOps” has been tossed around, but for IT teams, it hasn’t really brought the change it promised. Gartner coined the term, promising that machine learning and AI would forever change how we manage IT operations. Yet, the reality has been underwhelming. For most teams, traditional AIOps has amounted to little more than event management with a shiny new label.

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The Role of Facial Recognition Cameras in Modern Surveillance AI Technologies

Feb 27, 2025 By OpsMatters In OpsMatters

Facial recognition cameras have rapidly emerged as one of the most advanced tools in modern surveillance AI technologies, transforming security measures across industries. These intelligent systems integrate artificial intelligence with real-time data processing to identify individuals with remarkable accuracy, enhancing law enforcement, border control, and corporate security. Surveillance systems that leverage facial recognition cameras provide unmatched capabilities in monitoring and streamlining identity verification, making them an indispensable asset in today's security landscape.

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