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).

Debug live production issues with the Datadog Cursor extension

The Datadog Cursor Extension uses the Datadog remote MCP Server to give developers access to Datadog tools and observability data directly from within the Cursor IDE. The Cursor Extension enables you to view live variable values that your logpoints capture during execution, and you can use the Cursor Agent to identify the lines of code responsible for the issue at hand. The Datadog Cursor Extension is now available in Preview.

AI-Driven Alert Correlation with EventiQ in Splunk ITSI

In this video, we introduce EventiQ in Splunk ITSI, a powerful AI-driven solution designed to cut through the noise and help you find the root cause of issues faster. We’ll show you how EventiQ automatically analyzes and groups related alerts into actionable episodes, significantly reducing alert volume. We’ll cover how to enable EventiQ for a Notable Event Aggregation Policy and review the resulting episodes that it creates.

From Dial-Up to Colo: The Impact of AI on Data Center Design

In this episode of Uplink, we’re joined by Jay Smith, VP of Data Center Operations and Engineering at Evocative. With nearly 30 years in the industry, Jay unpacks how data centers are adapting to support AI’s massive power and cooling demands. This episode covers: Why colo is thriving in the AI era Liquid cooling and rear-door heat exchangers Powering 275kW racks and beyond How AI inference is shifting compute to the edge Career opportunities in infrastructure without a degree.

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.