Operations | Monitoring | ITSM | DevOps | Cloud

Operational Efficiency in Recruitment: How AI Is Cutting Manual Work

Recruitment teams are usually measured by placements, not by operations. The dashboards track candidates submitted, time-to-hire, and revenue per recruiter. What almost never gets measured is the operational overhead behind each placement, the quiet hours spent reformatting CVs, copying data between systems, sending follow-up emails, and chasing internal approvals.

Picsart Flow Gives Enterprise Creative Teams a Single AI Hub - From Brief to Final Asset

Enterprise creative teams are expected to move faster than ever. A single campaign can require paid ads, product visuals, landing page graphics, email banners, internal presentations, sales materials, short-form videos, and localized versions for different markets. Each asset needs to be professional, on-brand, and ready for the right platform.

Why Flexible Online Artificial Intelligence Courses Are Growing in Popularity

Artificial intelligence is expanding rapidly, and so are learning methods. Flexible online courses have revolutionized education, making it easier to gain new skills outside traditional classrooms. This shift signals the future of education-accessible to everyone, anywhere. An online AI course can be your entry point into this dynamic field.

Top Tips: How to stop doing everything yourself and delegate to AI before you burn out

Top Tips is a weekly column where we highlight what’s trending in the tech world today and list ways to explore these trends. This week, we’re looking at which tasks you can delegate to AI. We've all struggled to delegate tasks. Whether you're a junior struggling to prioritize your tasks on a daily basis or a manager unsure of assigning responsibilities, you know how messy task delegation can get. Some people just improvise while others have a method to this madness.

AI spend is exploding. Most companies cannot prove ROI.

Only 14% of CFOs can prove AI ROI. OpenAI’s gross margin fell from 40% to 33% in 2025, well below its 46% target. Even the AI providers cannot reliably predict what AI will cost. Companies are scaling AI faster than they can measure it: more tokens, more agents, more model calls, more spend moving through systems finance cannot yet see. Every board is asking the same question: What is this AI investment returning? Most companies cannot answer it. The ones that can will compound their advantage.

Are AI Tools Actually Improving Developer Experience? (Experts Cut Through the Hype)

AI tools are spreading across the entire software development lifecycle - but are they actually making developers more productive, or just adding noise? In this panel from Context Conference, Najla Elmachtoub (Squadformers) moderates a sharp, no-fluff conversation with Nathen Harvey (Google, DORA program), Bill Harding (GitClear), and Jeremy Castile (GitKraken) on what's really working when it comes to AI and developer experience.

Secure execution: Agents in sandboxes with relaxAI

The hard part of deploying AI agents isn't the agent. It's the environment around it. As organisations move from AI experimentation into production, the question isn't just what agents can do; it's whether you can trust the environment they run in. Sandboxed execution gives you both the autonomy and the guardrails, keeping agents isolated, auditable, and under your control.

Instrument LangGraph agents with Datadog: a practical guide

AI agents tend to function as black boxes, and it can be difficult to trace and understand agent workflows end-to-end in order to characterize performance. Particularly, you need visibility into the following: By tracing full agent runs with LLM Observability, Datadog AI Agent Monitoring enables you to visualize workflows with flame graphs and quickly spot sources of failures and latency.