Operations | Monitoring | ITSM | DevOps | Cloud

The Role of AI Chatbots in Modern DevOps Incident Response

Modern DevOps environments demand speed, accuracy, and continuous availability, especially when incidents disrupt critical systems. As organizations scale their infrastructure, traditional response methods often struggle to keep pace with the volume and complexity of alerts. This is where intelligent AI chatbots for customer support are becoming essential, as they provide real-time conversational interfaces that connect teams to automated workflows, incident data, and resolution tools, much like the capabilities showcased in advanced enterprise conversational AI platforms.

How AI Video Tools Like Face Swap Are Expanding Creative Workflows

I have spent a lot of time looking at how businesses create content, and one thing has become very clear to me: video is no longer a separate creative format. It has become part of everyday communication. Marketing teams use video for campaigns. HR teams use it for training. Product teams use it for explainers. Founders use it for updates. Even internal documentation is becoming more visual.

The AI Paradox: Why You Have To Spend More And Can't Explain Where It Goes

AI adoption costs are going parabolic. The companies that can see what they're spending will invest with confidence. Everyone else is flying blind. Every company adopting AI is facing the same problem: the cost of AI adoption in products, in operations, and especially in engineering is accelerating with no alignment between spend and value. The competitive pressure is real. Companies that don’t invest in AI will be displaced by those that do. But the investment itself is becoming inscrutable.

Ep 41: The cost of not thinking: Who's responsible when AI agents get it wrong?

In this episode of Masters of Data, we get into the messier side of AI adoption, tackling questions like who actually owns the output when AI gets it wrong, and whether chasing efficiency is making us forget what it means to be human in the first place. We discuss tech CEOs proudly announcing they no longer think for themselves and debate whether AI is quietly eroding our critical thinking skills. We make the case that purpose-built, narrow AI is genuinely exciting, but that no efficiency gain is worth losing the human touch that makes work, connection, and creativity meaningful.

Harness Lives Inside Cursor Now - Plus Everything Else That Shipped in April

April was a big month at Harness. AI is changing how code gets written — and the rest of the SDLC is catching up. In this update, Dewan Ahmed walks through Harness product releases across three themes: AI in the developer workflow, security and governance for AI assets, and self-service maturity for developers and platform teams. What's covered (with timestamps): Found this useful? Subscribe for monthly product updates, and drop a comment telling us which release you want a deep dive on next.

Your Enterprise is Running AI. But Who is Governing It?

If you’ve been online in the last fortnight, you’ve probably seen ServiceNow’s “Kevin” memo, the fictional 2028 post-mortem about an enterprise where the AI agents won, the governance team was eliminated, and a single AI governance lead named Kevin spent two years filing risk assessments that were auto-resolved before anyone read them.

SmartAssist and SQL Analytics - AI-powered querying

SQL Analytics has always been one of my favourite SquaredUp features. That's not just because I can use raw SQL to achieve complex data transformations. The fact that I can run SQL queries over data from all sorts of sources — not just relational databases, gives incredible power and flexibility. The great news is that SQL Analytics now ships with our AI-driven SmartAssist technology.

Apple's AI Challenge: Leadership Change Meets Strategic Pressure

Apple's anniversary year is marked not only by the symbolic results of the Tim Cook era but also by a strategic turnaround addressing the company's primary challenge: its lag in artificial intelligence. On September 1, John Ternus will take over the post of CEO, while Cook moves to the position of Chairman of the Board, focusing on strategic and regulatory issues.

NVIDIA DCGM Collector: Deep GPU Monitoring for Data Center and AI Infrastructure

GPU infrastructure is expensive and increasingly central to production workloads. Whether you’re running ML training jobs, inference serving, video transcoding, or HPC workloads, understanding what your GPUs are actually doing, and what’s going wrong when performance degrades, is not optional.