Operations | Monitoring | ITSM | DevOps | Cloud

AI at the Edge: Why Smart Data Placement is the Key to Unlocking Its Power

As organizations increasingly deploy AI solutions, I am seeing more and more that the strategic placement of data—particularly at the edge—is becoming paramount to unlocking AI’s full potential. This is a viewed shared by our partners at Riverbed, as highlighted in a recent white paper, Accelerating AI and Data Movement at the Edge. Edge computing enables businesses to perform complex operations at production sites by positioning compute resources nearer to users and operations.

The Impact of AI on Travel Photography: A New Era of Capturing Moments

After the arrival of AI, the entire scene shifted from upside down. When it comes to capturing the essence of the world's beauty and culture, travel photography is something you need. No matter if you are enjoying a gorgeous beach, hiking in the beautiful mountains or visiting the best sites of the city, getting access to photography will allow you to capture a lot of fun and adventurous memories. Ranging from the innovative technologies to all sorts of possibles, everything is changed with Artificial Intelligence (AI).

Supercharge Your Arduino Creations with AI and VS Code

Discover why AI coding is revolutionizing Arduino projects and how using the right tools can supercharge your development process. Uncover the secrets to seamless coding with a combination of Arduino plugins and VS Code, and see how AI is changing the game for creators worldwide. Will the future of coding be this intuitive? Watch and find out!

Track GitHub Copilot Usage with Datadog #GitHubCopilot #Datadog #DevTools

Easily track GitHub Copilot usage across your organization with our new integration. On This Month in Datadog, we’re covering this integration, Datadog CoTerm, and the new Optimization page in Datadog Real User Monitoring. Check out the link in our bio to watch the new episode.

12: Kubernetes Maturity, Cost Optimization, Automation & AI with Viktor Farcic

Welcome to another episode of Densify Talks! Andrew Hillier has a fun and informative conversation with Viktor Farcic. Viktor considers himself a technology critic (think of the old muppet critics on the balcony) and rapscallion. We think he’s also quite the thought leader and author, with some very bold insights on technology that are worth hearing! See Viktor’s biography below for more information about him.

What is Model Context Protocol (MCP)?

Let’s be honest, most AI (Artificial Intelligence) tools today are relatively smart but not always super useful. You ask them to explain something, write an email, maybe generate some code, but the moment you want them to do something real, like schedule a meeting, file a bug report, or move stuff across your tools, they just stare blankly. That’s where MCP comes in. MCP stands for Model Context Protocol.

Will AI Kill Our Talent Pipeline?

As AI adoption increases, the race to real, durable AI value intensifies. Almost every organization that can use AI is using AI — but one of the most troubling trends I’ve observed revolves around talent. Right now, most organizations use AI to increase internal efficiencies — do quick research, write quick emails, start a new project at the 50% mark rather than the 0% mark, etc. But some executives I’ve talked to are taking a more aggressive approach.

Splunk Observability Cloud's AI Assistant in Action | Practical Examples | Part 2

In this video, we'll explore practical ways to utilize the AI Assistant in Splunk Observability Cloud. Through real-world scenarios, learn how the AI Assistant can help you interpret metrics, contextualize data, onboard new team members to your organization, and automate tasks via the Splunk Observability Cloud API. AI Assistant in Splunk Observability Cloud enhances observability by providing actionable insights and streamlining workflows.

IBM's AI Just Replaced 94% of HR functions - What's Stopping You?

At IBM’s Think conference this week, the company made a bold announcement: 94% of its HR functions are now handled by AI, a shift they claim will generate $3.5 billion in savings over the next two years. These are staggering numbers. And while the cynic in me can’t ignore that this announcement was made at what is, effectively, a sales conference – especially one that coincided with the launch of IBM’s AI Agent Store – the scale of those numbers deserves attention.