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How AI Is Being Used to Fast-Track Patients in Healthcare

Healthcare systems are under growing pressure due to rising patient demand and limited clinical staff. To manage this, hospitals and clinics are increasingly using artificial intelligence to speed up patient flow and reduce waiting times. AI helps by automating triage, improving scheduling, and supporting clinicians with faster decision-making. The result is a more efficient system where patients can be assessed and treated sooner.

Analysing Claude Code telemetry with SquaredUp - diving deeper

In our previous article we looked at the basics of: In this article, we are going to take a deeper dive into some of the complexities of configuration as well as some of the nuances of analysing Claude telemetry. Before we dive into the code, let us just remind ourselves that our telemetry pipeline looks like this: That is, we are emitting Claude Code telemetry to an OpenTelemetry Collector. The telemetry is then exported to an Application Insights endpoint and stored in Log Analytics tables.

Mirror, Cut Over, Move On: A Live Kafka Migration from Confluent to Aiven

Kafka migrations get talked about like they're impossible. They aren't. They're a sequence of decisions, preparations, and good compromises - plus a working playbook. In this session, Dirk runs a real Confluent Cloud-to-Aiven migration live. Top to bottom: target Kafka cluster deployment, MirrorMaker 2 setup, replication flow and offset handling, and a staged cutover that keeps producer and consumer downtime to almost zero.

Introducing Kepler | GitKraken's Agentic Development Environment (ADE)

Kepler is GitKraken's agentic development environment: mission control for running parallel coding agents at scale. Running one agent is easy. Running five of them across three repos is where things break: scattered terminals, no shared view, no idea what's done or stuck. Kepler puts every agent session on one surface so you can plan work, write code, and review what ships without losing track of anything.

Inside the AI Team Weekly: AI Observability workflows and Prometheus exemplars (May 19th, 2026)

The Grafana AI team (Engineers Ivana Huckova and Sonia Aguilar) share what's new in AI Observability this week: a new way to instrument and visualize agent workflows, plus a neat trick for jumping straight from a metric spike to the exact conversation that caused it using Prometheus exemplars. In this episode: We're showing parts of our team meetings to build in public in some small way and give you a sneak preview of what's to come. But not all features we show may make it to production! You've been warned. :)

AI is only one of four things driving the data center boom

Tony Rossabi, aka the Godfather, has spent 30 years in this industry. Car washes to Telx to building data centers. He sat down with our CEO Michael Reid to break down what’s actually happening underneath the AI headlines, from where the real demand is coming from, to why a single megawatt of power is so hard to find, and how a team of eight is building 19 ten-megawatt facilities across two continents in 24 months.

The Godfather of AI Ready Data Centers | OCOLO CEO & Founder Tony Rossabi

AI is reshaping digital infrastructure, but the biggest challenge isn't always building bigger data centers, it's finding the power to run them. In this episode of Uplink, Michael Reid sits down with Tony Rossabi, Founder & CEO of OCOLO, to discuss how AI is changing the data center industry and what it takes to deliver the next generation of infrastructure.