Operations | Monitoring | ITSM | DevOps | Cloud

Bringing together a host of traditional and modern powerful test data management capabilities, Redgate Test Data Manager allows users to.

In this episode of Masters of Data, we dive into how AI learns, examining both how we teach it and what it derives from human performance, as well as why context plays a crucial role in AI interactions. We break down five key components of AI training and talk about why we should view AI as a tool under human control rather than an autonomous entity. We explore the challenge of maintaining context in AI—much like our own memory struggles—and discuss methods, such as retrieval-augmented generation, that can help AI retain context more effectively.

With Datadog GPU Monitoring, engineering and ML teams can monitor GPU fleet health across cloud, on-prem, and GPU-as-a-Service platforms like Coreweave and Lambda Labs. Real-time insights into allocation, utilization, and failure patterns make it easy to spot bottlenecks, eliminate idle GPU spend, and resolve provisioning gaps. By tying usage metrics directly to cost and surfacing hardware and networking issues impacting performance, Datadog helps teams make fast, cost-efficient decisions to keep AI workloads running reliably at scale.

Microsoft has identified a zero-day vulnerability in the Windows kernel, rated 7.0 on the CVSS scale. Organizations often misprioritize vulnerabilities, focusing on high-severity scores instead of those actively exploited. Many lower-severity vulnerabilities are chained by attackers. A risk-based approach to vulnerability management is crucial. Current Windows OS versions are affected, and organizations should consider Extended Security Updates to mitigate risks as more zero days are anticipated.