Monitoring

Matilda Bailey has spent years in the trenches of cellular, wireless, and next‑gen networking, guiding teams as AI workloads spill across clouds. In this conversation, she walks through pragmatic ways to collapse deployment from months to days, unify scheduling with Slurm‑on‑Kubernetes, and deliver

Customers are asking why a chatbot denied a loan, regulators are probing how models made hiring choices, and engineers are racing to fix hallucinations that slipped into production before anyone agreed on acceptable risk—this guide turns that chaos into a repeatable, defensible program that leaders

Boards see AI as the rocket engine for faster detection and response yet also as the spark that widens the attack surface overnight, a tension that now defines decisions on budgets, oversight, and acceptable risk. Security leaders are accelerating adoption to win on speed and scale, but they face a

Breaches rarely fail because an alert never existed; they fail because evidence was scattered, stale, or too noisy to trust. That is the enduring case for Security Information and Event Management (SIEM): a telemetry backbone that turns disparate events into coherent signals for detection,

Budgets now hinge on whether AI can prove its worth not in lab charts but in dollars, hours, and satisfied users, and that pressure has turned performance metrics from a back-office checklist into the operating system of enterprise AI. Leaders no longer ask only which model scored higher on

From Buzz to Build: EmTech AI’s Enterprise Reality Check Cambridge provided a crisp stress test for the agentic AI narrative, where hallway demos met boardroom pragmatism and a clear majority predicted turbulence before upside, a reminder that autonomy without coordination often magnifies noise