Operations | Monitoring | ITSM | DevOps | Cloud

AI Governance: Closing the Policy Gap feat. Brooke Johnson, Ivanti

AI governance isn't optional — it's the difference between scaling AI confidently and exposing your organization to serious risk. Watch Brooke Johnson, Ivanti's Chief Legal Counsel, SVP HR and Security, break down why AI policy alone isn't enough and what it actually takes to close the governance gap.

How Fragmented Data Breaks AI Strategy feat. Sterling Parker, Ivanti

Your AI is only as good as the data it sits on — and fragmented IT data isn't just inefficient; it's dangerous. Watch Ivanti's Sterling Parker, SVP of Global Solutions and Services at Ivanti, explain why a unified IT platform and a clean system of record are the true foundation of secure, scalable AI.

AI inference vs. training: What they are and how they differ

AI inference and training are terms you'd run into if you have been around software engineering or even just scrolled through the news. Both are integral to delivering the AI-powered experiences we have come to expect from many of the applications we use daily. According to McKinsey, by 2030 inference will overtake training as the dominant workload in AI data centers, making up more than half of all AI compute and roughly 30-40% of total data center demand.

iFrame Expands AI Infrastructure Offering With Hosted Inference Service for Open-Weight Models

Organizations looking to reduce AI operating costs while maintaining performance are increasingly turning to open-weight models. This trend accelerated throughout 2024 as businesses sought alternatives to expensive proprietary systems and greater control over their AI infrastructure.

Why AI Evaluation Is Becoming a Business Priority, Not Just a Technical Task

Artificial intelligence products are evolving at a pace that challenges traditional quality assurance and validation processes. As organizations race to release new AI-powered features, many product teams face the same question: how do they know a system is ready for real-world use? As reported by AI Journal, conversations with product leaders across different sectors reveal a growing focus on AI evaluation as a critical part of product development. Their experiences highlight the challenges of balancing innovation, risk management, customer expectations, and future regulatory requirements.

How IT Teams Can Start Their AI Automation Journey | Agentic AI, ITSM & Zero Ticket IT

How should IT leaders approach automation and AI? Where should they start, and how can they drive measurable results without getting caught up in the hype? In this episode of Agents of IT, Fran Fernandez and Zach Austin sit down with Chris Ellis, Senior Technology Solutions Specialist at RICOne, to discuss practical IT automation strategies, agentic AI, service desk transformation, and the journey toward autonomous operations.

DNS Spy Now Has an MCP Server. Ask Your AI About Any Domain.

DNS monitoring should be simple. You want to know if something changed. You want to know if a record propagated. You want to know if a phishing site just went live with your brand name in the domain. But in practice it takes work. You log in to a dashboard. You click through menus. You run a check, copy the output, paste it somewhere else. You repeat that process every time someone on the team asks a question. AI assistants like Claude and ChatGPT could help.

How to ship a POC in an afternoon: a Claude Code and Upsun walkthrough for product and product marketing

I have an Upsun project that's nothing but proofs of concept. It's a dashboard, basically. Each POC gets its own tile. Click in, and you land on a page with three tabs. The first tab is a written explanation of what the POC argues. The second tab is the POC itself, with a built-in demo that automates a walkthrough of the feature so the recipient can watch it run without me on the call.