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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.

AI ROI: How to measure and provide the return on AI investments in 2026

Every quarter, the same scene plays out in boardrooms across the Fortune 500. The CEO asks: “What is the return on everything the company is spending on AI?” The CTO talks about productivity gains and developer velocity. The CFO points at a cloud bill that doubled but cannot isolate which line items are AI. The board nods politely and tables the discussion until next quarter, when the same question will produce the same non-answer. (If this sounds familiar, you are not alone. Keep reading.)

CloudZero AI Hub: The nexus of autonomous AI cost control

CloudZero originated as a way to make sense of your cloud costs. Costs spread across bills with billions of line items belonging to resources that might or might not have been tagged (or taggable), spun up by engineers working across teams, on different microservices, features, and products, that served a wide range of customers. Kubernetes. Multi-cloud. Check, check, check.

The Bug Hiding in Your Production Traffic

Your logs showed 500 errors. The traces showed the dependency graph. Neither showed the actual bug, a DEL control character getting appended to the query string. This is how I found it. In this video I walk through Speedscale BYOC (bring your own cloud): capture real production traffic, store it in your own Elasticsearch cluster inside your VPC, pull it down locally with a single script, and reproduce the exact bug using proxymock. The data never leaves your environment.

21 AI concepts every beginner should know before their first interview

If you’re prepping for your first AI or MLOps interview, the hardest part usually isn’t always the hands-on element. For me, it’s the vocabulary. Interviewers sometimes lob single-word concepts at you (“what’s quantization?”) and watch how far you can carry the thread. The questions sound clear-cut, but each one is really a doorway into a bigger topic, and the interviewer is judging how cleanly you walk through it.

Autonomous Error Remediation in Cursor with Lightrun MCP

Lightrun's Gidi Freud demonstrates how your AI coding agent can now investigate and fix production errors, autonomously. Watch how Cursor, guided by Lightrun's Error Remediation skill, picks up a Sentry error, instruments the live service with a runtime snapshot, captures real evidence, and opens a validated PR for approval.

AI Dev Tools: What 100K Engineers at Google Really Taught Us

AI developer productivity, agentic workflows, and the lessons learned running engineering tools for 100,000+ software engineers at Google. John Montgomery, CCO at GitKraken, sits down with Asim Hussain, co-founder of Alterion AI and former Google VP of Engineering Productivity, to get real about what AI actually changes for engineering teams in 2025.

How Krisp Built an AI Note Taker That Actually Improves the Meeting Experience

Every AI note taker on the market starts recording after you click "Join." By then, the problems have already begun. The mic is picking up traffic from an open window. Two people on the call can't understand each other through competing accents. Someone's connection keeps cutting out. The note taker captures all of it faithfully, noise and confusion included, and produces a summary that looks polished but was built on bad audio.

Top UK AI Companies Leading Innovation in 2026

The UK AI market continues to grow at an impressive pace, cementing its position as one of the most influential technology ecosystems in the world. The UK artificial intelligence industry generated £23.9 billion in revenue during 2024, while investment in UK AI companies rebounded to £2.9 billion. Organisations looking to capitalise on this growth often work with experienced artificial intelligence consultants to identify opportunities, implement AI technology and align innovation with business goals.

Utility-Scale BESS For Industrial And Mining Benefits

Industrial and mining operations need reliable, large-scale power to keep production running efficiently. When electricity costs rise or grid reliability drops, utility-scale BESS can help reduce demand charges, improve energy resilience, and support renewable integration. For high-load facilities, these systems are becoming a practical investment rather than a future option.