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Open source observability explained - the Grafana Labs stack

Wish you could have open source observability explained to you? Senior Developer Advocate Nicole van der Hoeven explains how all the OSS projects from the Grafana Labs stack work together and how the picture they're all building towards is continuous reliability. TIMESTAMPS: ☁️ Grafana Cloud is the easiest way to get started with Grafana dashboards, metrics, logs, and traces. Our forever-free tier includes access to 10k metrics, 50GB logs, 50GB traces and more. We also have plans for every use case.

Crafting Smarter Computer Vision for a New Era of Perception

Computer vision is a field of artificial intelligence that enables computers to interpret and understand visual data, such as images and video. Computer vision aims to provide machines with human-like visual perception capabilities, allowing them to identify, classify, and analyze visual content.

Innovate & Educate: The Rise of Artificial Intelligence Education

Learning can be frustrating when it feels like it's a one-size-fits-all approach. But what if that could change? AI can tailor lessons to your learning style. Virtual tutors are always patient and ready to explain tricky math problems again. Event tests that understand what you need to learn next are a reality. It isn't science fiction - it's the power of artificial intelligence in education. This approach is transforming how we learn. It holds exciting possibilities but also raises important questions.

NLP vs. LLMs: Understanding the differences

As AI continues to grow and solve problems across countless industries, a key part of that tech is the ability to seamlessly bridge the gap between human language and machine understanding. This is where natural language processing (NLP) and large language models (LLMs) come in. They provide distinct and specialized approaches for connecting the power of human communication with software and machines. Or in simpler terms, NLP and LLMs enable us to have human-like conversations with software.

Elastic Universal Profiling agent, a continuous profiling solution, is now open source

Elastic Universal Profiling™ agent is now open source! The industry’s most advanced fleetwide continuous profiling solution empowers users to identify performance bottlenecks, reduce cloud spend, and minimize their carbon footprint. This post explores the history of the agent, its move to open source, and its future integration with OpenTelemetry.

Embracing the AI Revolution: A Leader's Perspective on the Future of Business

"In a world where change is the only constant, the rapid advancement of Artificial Intelligence (AI) is a formidable force that is redefining life and commerce. As we witness firsthand the seismic shifts occurring in the business world due to the advent of AI, the landscape is changing rapidly, and with it, the rules of engagement for companies across the globe.

ChatGPT & the Enterprise: Balancing Caution and Innovation in the Age of AI

OpenAI's groundbreaking AI tool ChatGPT was officially launched on November 30th, 2022. However, it wasn't until the early months of 2023 that its impact truly began to ripple through the global consciousness. This transition from a novel technological release to a sensation that captivated the world was both rapid and remarkable. The metrics speak volumes: According to Similarweb, ChatGPT garnered around 266 million visits in December 2022.

How to Fight Alert Fatigue with Synthetic Monitoring: 7 Best Practices

It’s 1am, and something has gone very wrong. The head of sales is in the incident response channel because our top customer is reporting a system-wide outage. Everyone’s running around trying to figure it out. As you look at service maps and traces, you get a sinking feeling. Earlier the previous evening, you got an alert that user-access-service was running out of memory.

Top tips: Wearable tech etiquette in the workplace

Top tips is a weekly column where we highlight what’s trending in the tech world today and list ways to explore these trends. This week, we’re exploring wearable tech etiquette at the workplace. Prioritizing face-to-face human connection is practically nonexistent at this point, making it difficult to nurture collaborative environments. Picture yourself entering a public setting like a restaurant, a busy train, or your workplace. What do you see?