Operations | Monitoring | ITSM | DevOps | Cloud

What is Edge AI, exactly?

There's a lot of confusion around Edge AI. Is it in the cloud? The edge of the network? In this clip, we break it down: real Edge AI happens on embedded devices. Processing data at the source enables zero latency, full privacy, and applications that wouldn't be possible otherwise. Watch to learn why AI at the true edge is a game-changer for robotics, IoT, and beyond.

Azure AI Agent Services in Azure AI Foundry

This podcast features Alex Pshul, Microsoft MVP, discussing Azure AI agents, a new technology related to Microsoft's Azure platform. The conversation covers various aspects of Azure AI, including the development and functionality of AI agents, their applications, and the underlying technologies involved. Time stamps: Introduction of Guests (00:00:00) Overview of Azure AI Agents (00:01:10) Creating AI Agents (00:03:00) Functionality and Use Cases of AI Agents (00:04:00) Future of AI Agents (00:05:00) Demo and Code Examples (00:06:00) Cautions and Recommendations (00:37:00)

Teaching AI to Speak Nexthink Query Language: Lessons from Nexthink Assist

In today's fast-paced IT environments, managing the Digital Employee Experience (DEX) shouldn't require mastering query languages or wading through endless data. IT teams need immediate answers, not more complexity. That’s why we have built Nexthink Assist, our AI-powered virtual assistant in Nexthink Infinity. By leveraging the power of Generative AI (GenAI) and Large Language Models (LLMs), Assist transforms the way organizations manage their DEX.

How does AI-powered computing keep a ball balanced? #canonical #intel #embeddedworld #shorts

At Embedded World 2025 at Canonical's booth 4-160, lntel is showcasing an amazing balancing ball demo, powered by. It demonstrates the power of Intel’s cutting-edge processors, combined with the flexibility and reliability of Ubuntu, handle complex physics in milliseconds, ensuring smooth, dynamic balance with precision. A perfect example of how real-time control can be applied to, automation, and industrial AI!

AI Incident Summarization in 50 Seconds

Ivanti's AI Incident Summarization feature lets your IT team catch up on the history of a given incident at the speed of GenAI, so they can help your end users solve their problems that much faster. Ivanti finds, heals, and protects every device, everywhere – automatically. Whether your team is down the hall or spread around the globe, Ivanti makes it easy and secure for them to do what they do best.

What is agentic AI? The role of AI agents in DevOps automation

Agentic AI represents the next evolution in artificial intelligence systems, characterized by autonomous software entities that can independently pursue goals, make decisions, and take actions with minimal human supervision. Unlike traditional AI models that respond only to specific prompts, AI agents actively observe their environment, learn from feedback, and execute complex sequences of tasks to achieve defined objectives.

How to Mock AI APIs Using proxymock

APIs often represent the cutting edge of the technology space. This is especially true with Artificial Intelligence – as AI has evolved from speculative technology to mass adoption, it has shown up significantly in APIs as a modality and mechanism. However, as with all new technologies, using AI APIs comes with significant challenges.

What Is AI Autonomous Debugging? A Deep Dive into the Future of Software Troubleshooting

In the fast-paced world of software development, debugging remains one of the most time-consuming and complex tasks for engineers. Modern observability tools that use logs, metrics, and traces help developers gain insights into system behavior, but they still require manual effort to identify and fix issues.

Monitor GitHub Copilot with Datadog

AI-powered coding tools are becoming more commonplace within developer workflows. GitHub Copilot is a popular AI coding assistant that can be integrated directly into IDEs or as a standalone chat interface. This tool helps you write code faster and with less effort by auto-completing code in real time, generating blocks of code from natural language prompts, and answering your questions to help you get over coding hurdles and roadblocks.