Why AI Infrastructure May Be Needlessly Draining Your Budget
Kubex releases data from a survey of over 500 U.S. software developers, revealing a disconnect between cost sensitivity, scrutiny and resource efficiency.
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AI Query Assist for SolarWinds Database Performance Analyzer
Is your database slow? Let AI do the heavy lifting. Watch how SolarWinds DPA’s AI Query Assist transforms query tuning from a manual headache into a streamlined process. This demo shows you how to get instant, AI-powered recommendations for your worst-performing queries while maintaining the control to review and verify every fix. It’s not just about finding the problem—it’s about fixing it faster.
Scaling Creative Output Without Sacrificing Quality
Scaling creative output often breaks when volume blurs what made the work recognizable. As calendars fill, small shifts in tone, visuals, and judgment start to stack up. In editorial terms, scaling means increasing volume and coverage without lowering standards. That only works when roles stay clear and each asset has a defined path to "done." More posts do not equal scalable content production. Scale comes from repeatable systems that protect brand consistency and quality control across busy weeks, staff changes, and multiple contributors.
AI Medical Scribe in Action: How AI-Powered Medical Scribes Are Transforming Clinical Documentation
In an era where healthcare systems are stretched thin and clinicians are inundated with administrative work, technological innovation has become essential-not optional. Among the most impactful advances is the emergence of the ai medical scribe, a tool that is not just streamlining clinical documentation but is fundamentally reshaping how patient care is delivered and recorded. This editorial dives deep into the transformative power of AI-powered medical scribes, offers real-world examples, and provides expert-level analysis of why this technology is pivotal for modern medicine.
From Concept to Screen: A Pro's Guide to Multi-Shot Storytelling in Seedance 2.0
In the early days of AI video, the medium was largely defined by "one-hit wonders"-single, impressive clips that existed in a vacuum. You could generate a beautiful shot of a dragon or a futuristic city, but trying to tell a cohesive story with a beginning, middle, and end was nearly impossible. The characters would change, the art style would drift, and the logical flow between shots would crumble.
We Measured AI Impact for 12 Months. Here's What Actually Happened.
When we rolled out AI coding tools across our engineering team, the first few weeks felt great. Developers were enthusiastic. Acceptance rates looked healthy. Everyone said they felt more productive. Then my CEO asked me a simple question: “Is it working?” And I realized I didn’t have a good answer. Feeling productive and being productive are not the same thing.
Introducing Skylar Advisor: You Need an Advisor, Not an AI Assistant
Skylar Advisor is a next-generation experience powered by Skylar AI, built to help IT teams focus on what matters right now. In this video, ScienceLogic Chief Product Officer Michael Nappi shares how Skylar Advisor proactively curates and summarizes key signals across monitoring tools, logs, and streaming telemetry into clear advisories your team can act on in seconds.
"Crown Jewels In, Crown Jewels Out" - The Hidden Risk of AI
How do you secure data in the age of Agentic AI? In this episode of ShipTalk, Dewan Ahmed sits down with Devan Shah, Chief Architect of Data Security at IBM, to explore the massive shift from traditional DevOps to AI-infused software delivery. Devan shares his journey from being a chef to leading an "army" of 450+ developers at IBM. They dive deep into the technical bedrock of IBM’s "OnePipeline" (built on Tekton and Argo CD), the rise of Data Security Posture Management (DSPM), and the architectural principles required to ship AI features without compromising security or compliance.
SRE Report: AI optimism and the economics of effort
For eight years, the survey behind the SRE Report has used a consistent methodology. That consistency allows us to track how reliability work evolves over time, rather than relying on snapshots. One of the most stable questions in the survey asks respondents to estimate how much of their work, on average, is spent on toil. Between 2020 and 2024, responses showed a gradual decline in reported toil.
Build, buy, or open source? Understanding your options with Grafana's AI-powered observability
Some questions in engineering never go away. Here’s one that every team eventually confronts: Do we roll up our sleeves and build the tooling ourselves, or do we buy something built for us? It’s a choice that has the power to speed teams up or hold them back. With the rise of AI-powered observability, this familiar software dilemma has re-emerged with higher stakes and faster-moving technology.