Operations | Monitoring | ITSM | DevOps | Cloud

WebMMU: Multimodal and Multilingual Evaluation of Agent Reasoning on Web

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. Modern web agents can read, but few can see holistically. Despite rapid progress in multimodal LLMs, today's models falter when asked to visually ground UI elements, reason over DOM structures, or edit complex layouts across diverse languages and domains. WebMMU is our attempt to course-correct.

Understanding GPUs for AI success: Insights from our panel discussion

This blog is based on the webinar, “Panel Discussion: Understanding the importance of GPUs for AI success”, you can watch the full recording by clicking here! Last week, we hosted a panel discussion surrounding the importance of GPUs for AI success that featured Kunal Kushwaha (Field CTO), Ben Norris (AI Engineer), and Kendall Miller (Strategic Business Development).

Data Governance and Ethics in Transportation AI

Artificial Intelligence (AI) and big data are fundamentally reshaping transportation, from smart traffic management and logistics optimization to predictive maintenance and autonomous vehicles. However, while the technology evolves at a rapid pace, the non-technical aspects of implementation, such as governance, ethics, privacy, and transparency, often lag behind. To build systems that are not only intelligent but also trustworthy, we must develop frameworks that prioritize secure data sharing, privacy preservation, and explainable AI (XAI).

Enginears Podcast: Redefining Developer Productivity in the AI Era

Developer productivity is top of mind for all engineering organizations. As AI accelerates software development, leaders face a fundamental question: Are we truly building faster, or just building more? And more importantly, are we building the right things, and building them well? In this new era, speed alone isn’t enough. High-impact teams must ensure their work aligns with customer value and is delivered with exceptional quality.

Taking AI Apps From Prototype to Production

At this year’s AWS Summit in New York, agentic AI took center stage with Amazon’s launch of Bedrock AgentCore — a powerful step toward turning AI prototypes into scalable, production-ready applications. From low-code workflows to turnkey infrastructure, a new generation of tools is enabling teams of all skill levels to build, deploy, and monitor AI agents faster than ever.

How to Create Playwright Scripts for Website Monitoring with Chrome, ChatGPT & Sematext

Let’s say you want to make sure your website works as expected. You do not want to check if it just loads. You also want to check if important buttons or features are there and working. Oh, and you don’t want to just do it once. You want to keep an eye on this pretty much all the time. And, of course, you don’t want to keep checking manually if anything broke – you want to be notified, alerted when (not if) things break. You can do this by creating a Browser Monitor.

What's Driving Traffic in Rural America - Broadband, Wireless & DCI for AI

s consumers continue to shift away from traditional cable broadcasting towards streaming video services such as Netflix, Disney+, Hulu, and Paramount+, this will continue to drive the demand for robust middle mile solutions. This growth in data traffic demands not only enhance rural provider’s Internet infrastructure but also fortify their needs for data center interconnectivity (DCI) to metropolitan hubs. In this context, rural markets require connectivity solutions that can support 100G and even 400G connections to efficiently handle rising bandwidth needs tied to cloud applications and content delivery networks.

Bits AI Dev Agent: Automatically identify issues and generate code fixes

The Bits Dev Agent is an AI-powered coding assistant in Datadog designed to reclaim developer productivity by autonomously monitoring telemetry data, identifying key issues, and generating production-ready pull requests. Developers receive asynchronous, context-rich PRs with clear explanations, allowing them to shift their focus from troubleshooting to reviewing solutions and building better code.