AI Won't Replace IT Jobs - But This Will
AI isn’t the real threat to IT careers. The real risk? Not building the skills that AI can augment. Jon Collins breaks down the “AI augmentation gap.”
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AI can do what now?! What an ethical hacker says about deepfakes and AI
Real-time camera deepfakes are no longer science fiction. High-fidelity, AI-generated impersonation may be advancing quickly — but that's not the only AI risk financial services companies should be thinking about. In this episode of AI Can Do What Now?!, Lisa Jones-Huff, director of security solutions architecture at Elastic, sits down with ethical hacker Freakyclown (FC) to explore what is technically possible today with AI, where reality still falls short of the hype, and what security teams should be worried about.
AI can do what now?! The real risks of AI in social engineering
What is the most immediate risk financial services companies face today? AI-enabled social engineering is already accelerating real-world attacks. Scale, personalization, speed, and automation are lowering the barrier for attackers while making fraud detection more complex for defenders. In this episode of AI Can Do What Now?!, Lisa Jones-Huff, director of security solutions architecture at Elastic, is joined by ethical hacker Freakyclown (FC), and principle solutions architect Joe Murin to explore what is actually happening right now — beyond the hype.
AI-Powered LMS: Personalization, Analytics & Automation for Corporate Training
Corporate training systems change operationally once AI is embedded into their learning logic. In LMS environments used for onboarding and workforce development, AI shifts training from scheduled delivery toward continuous adjustment based on employee performance and role context. This shift affects how companies assign onboarding programs, detect skill gaps, and maintain compliance readiness across departments.
Lightrun Launches Industry's First AI SRE With Live Dynamic Runtime Context
Autonomously Remediates Software Issues, Generates Missing Runtime Evidence on Demand, and Validates Hypotheses Against Live Execution from Code to Production.
AI performance reviews for your app with the Flare CLI
The Flare CLI connects to your Flare performance monitoring data and uses AI to turn it into actionable insights, right from your terminal. In this video, you'll see how a single command pulls your real performance data from Flare, then generates a full review: identifying slow endpoints, spotting error trends, and suggesting concrete fixes. Links.
Claude Code + OpenTelemetry: Per-Session Cost and Token Tracking
I was looking at our Claude Code spend in the Anthropic console the other day. Aggregate cost, aggregate tokens — no breakdown by developer, no breakdown by session. I knew my Hackathon team had been using it heavily on building out new features for the OpenTelemetry Distro Builder. But heavily how? I had no idea. Turns out Claude Code has been emitting OpenTelemetry signals the whole time. Per-session cost, token counts, every tool call it makes on your codebase.
New N-able and Futurum Report Reveals How AI is Reshaping Cyber Resilience
Findings underscore a widening resilience gap as AI accelerates both business innovation and adversarial tradecraft.
Zebra Introduces AI-Powered TC501 and TC701 Mobile Computers for Logistics Frontline
New devices deliver specialised capabilities for today's intelligence economy.
AI infrastructure cost optimization for scaling teams
This post is also available in German and in French. The 2026 AI landscape has shifted from "Can we build it?" to "How much will it cost to run it?" For CTOs and engineering leaders, the challenge is no longer just model performance: it is the underlying infrastructure sprawl that silently erodes margins. When AI workloads scale, they often inherit the inefficiencies of legacy cloud models: over-provisioned instances, fragmented data pipelines, and a lack of unified context.