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When is it ok or not ok to trust AI SRE with your production reliability?

There’s a moment every engineer knows. An AI suggests a fix, it looks reasonable,maybe even obvious, but production is on the line and you hesitate before clicking execute. There’s a big difference between an AI that can recommend an action and one you’re willing to let take that action. All it takes is one bad call, one kubectl command that makes things worse, and suddenly every automated suggestion is a potential liability instead of a help.

Make Your Engineering Processes Resilient. Not Your Opinions About AI

Why strong reviews, accountability, and monitoring matter more in an AI-assisted world Artificial intelligence has become the latest fault line in software development. For some teams, it’s an obvious productivity multiplier. For others, it’s viewed with suspicion. A source of low-quality code, unreviewable pull requests, and latent production risk. One concern we hear frequently goes something like this: It’s an understandable fear; and also the wrong conclusion.

Michael Burry Warns of Artificially Inflated Earnings

On November 10, 2025, Michael Burry, the investor famous for predicting the 2008 subprime mortgage crisis and featured in the film "The Big Short," posted on X, accusing American big tech giants of inflating their earnings. The criticism centers on a widespread accounting practice among companies that have invested in AI: the artificial extension of the useful life of IT equipment, primarily Nvidia GPUs, to mitigate the impact of depreciation on corporate balance sheets.

Top 5 Companies Streamlining Reverse Logistics for Tech Manufacturers

If you work in hardware manufacturing or IT management, you know the sinking feeling of seeing a palette of returned equipment sitting on a loading dock. In the past, that palette was just trash, a cost center you tried to ignore. But in 2026, that palette is a gold mine disguised as a headache.

How One Tool Can Replace Five and Streamline PDFs for Daily Operations

Running a company used to mean everyone was in the same building, but that is rarely the reality anymore. Modern operations teams now work across different regions and time zones as a standard part of their day. In this distributed environment, PDFs remain the primary format for everything from contracts and internal manuals to reports and documentation. However, even though they are everywhere, they often cause significant friction that slows teams down. This guide focuses on common PDF hurdles and how you can use a good PDF tool like UPDF to streamline your PDF operations.

Agentic AI Essentials: Your Guide to the Future of Automation

To mark the launch, we’re publishing Agentic AI Essentials, a four-part series to help organizations navigate the reality of agentic AI adoption. Across the series, we’ll look at the questions that matter most: what’s real versus hype, how to avoid adoption pitfalls, how to measure ROI, and how roles will evolve once agents are onboarded. Here’s a sneak peek at what’s in store.

Finetuning Gemma 3 on private data with Unsloth and CircleCI

Fine-tuning Large Language Models (LLMs) on private, domain-specific data can unlock significant value for your specific use case. When done correctly, you can create AI apps that understand your organization’s unique context. These apps can speak your brand’s voice and deliver remarkably accurate results that general models cannot match. However, finetuning is not always the right solution. Many teams rush into this complex technique without exploring simpler alternatives first.

Poisoning the Well: The Invisible Danger in Your AI Supply Chain

Welcome to the AI research bites. This series of short and informative talks showcases cutting-edge research work from ServiceNow AI Research team. The AI Research Bites are open to all, especially those interested in keeping up with the fast-paced AI research community.

Build custom apps in seconds with conversational AI in App Builder

Using a drag-and-drop interface, engineering teams can create apps that support troubleshooting, improve day-to-day operations, and offer self-service access without leaving Datadog. With the new conversational AI feature, teams can turn an idea into a working app in seconds. Watch the video to see how it works..