Operations | Monitoring | ITSM | DevOps | Cloud

Optimizing Observability Data Volume and Cost with AI

Struggling with high observability costs? In this video, Jade Lassery breaks down the challenges of managing excessive data and skyrocketing expenses. She introduces the Logz.io AI agent, a powerful solution designed to optimize data usage, reduce unnecessary costs, and improve efficiency. Learn how to take control of your observability spending while maintaining high performance. Watch now to discover smarter data management strategies!

Troubleshoot Kubernetes Performance Issues with AI

Struggling with Kubernetes performance issues? This video introduces an AI-powered agent designed to help users quickly identify and resolve bottlenecks. By analyzing logs, the AI detects performance issues, streamlining troubleshooting and improving system efficiency. Watch now to see how AI can simplify Kubernetes performance management and keep your infrastructure running smoothly!

CI/CD requirements for generative AI

CI/CD for generative AI applications presents unique challenges in model deployment, testing, and monitoring. Unlike traditional software applications, generative AI systems involve large model artifacts, complex dependencies, and specialized hardware requirements, making a sophisticated CI/CD pipeline essential for reliable delivery. As organizations embrace generative AI technologies, the need for specialized CI/CD solutions becomes critical.

AI Wearables: Why Startups Have the Advantage Over Big Tech

Big tech has the resources, but startups have the real advantage in AI wearables: speed, agility, and the freedom to take risks. Right now, the AI wearable market is in the wildcard phase—no dominant device, no set form factor, and no clear winner. That’s a massive opportunity for smaller teams that can move fast, test in the field, and refine in real time. Unlike big tech, startups don’t need a five-year roadmap. They can launch quickly, experiment aggressively, and pivot without worrying about shareholders.

Meta's Big Bet on AI Wearables

Meta is making a massive push into AI wearables, with at least six new devices launching in 2025. But here’s the catch—this wasn’t originally about AI. Meta built its hardware for the metaverse, only to find itself at the center of the AI revolution. With over 1 million Ray-Ban smart glasses already sold (and a goal of 5 million in 2025), it’s clear there’s demand. But can Meta actually scale this initiative from within, or will they lean on brand partnerships like Oakley to expand?

How Finance Teams Are Using AI To Drive Profitability

It’s getting increasingly difficult to both be a conscious human being with an internet connection and to be unaware of AI. From Jamie Dimon’s bullish stance to Elon Musk’s dire predictions to the art world’s raging debate (and uncanny experiments) over whether it can ever be used ethically, AI has an iron grip on our collective imagination, and businesses are scrambling to outspend each other on the way to making it drive sustainable profit.

Finding Root Cause Quickly with Logz.io AI Agent

In the video, Jade Lassery discusses how to effectively manage complex environments, especially when faced with unexpected spikes in errors. She introduces a Logz.io AI agent prompt that assists users in quickly identifying the root cause of these issues. By simply asking the right questions, users can streamline their troubleshooting process and enhance their operational efficiency.