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devart

Database governance in the AI era: Framework, risks and best practices

Sep 25, 2026 By Rosemary Asufi In Devart
AI database governance can get overlooked when teams rush to connect AI tools to production data. IBM’s 2025 research found that 97% of organizations that reported a breach involving an AI model or application lacked proper AI access controls. The risk is easy to see. Give an AI agent too much access and it can expose or alter data in seconds. Feed it poor-quality data and it may produce a confident but incorrect answer.
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Aiven

How to Build an App on Base44 with a Production-Ready Aiven Database

Sep 25, 2026 By Yonatan Dvir | In Aiven
Base44 is fast at the part that used to take a week. Describe an application, and you have a working interface in minutes. Base44's built-in Cloud backend, enabled by default, is a reasonable place to start. But it doesn't put your data in an account you already own, in the cloud and region you picked, next to the rest of your data platform. That's the gap this post closes.
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harness

AI Writes Code Fast. Can You Trust What Gets Deployed?

Sep 25, 2026 By Nicole Morgan In Harness
AI has solved writing code fast. The new bottleneck is trusting what actually reaches production. Here's what that requires. Based on the DevOps.com webinar "AI Writes Code Fast. Can You Trust What Gets Deployed?" presented by Harness, August 12, 2026. AI has removed the bottleneck in writing software. Code that used to take days now takes minutes. But speed of creation and trustworthiness of what reaches production are two very different things.
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GitKraken Insights | AI feels faster. Make sure it is.

Sep 25, 2026 By GitKraken In GitKraken
AI feels faster. Make sure it is. GitKraken Insights shows engineering leaders the real cost, output, and ROI of their AI investment, per tool, per team, per developer. Then it gives every developer their own data and coaching to get more from it. 84% of developers say they feel more productive with AI. Only about one in five can actually measure the impact.* With GitKraken Insights, you can: We run on it ourselves: GitKraken's own engineering org reached 2.53x output in six months.
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almaden ai

AlmaIQ in practice: when AI solves productivity problems in minutes

Sep 24, 2026 By Almaden AI In Almaden AI
In a market where new tools and technologies are constantly emerging, it is easy to get carried away by features. The real differentiator, however, lies in the impact a solution has on operations. That is what stands out most about Almaden’s solutions. More than a Digital Employee Experience (DEX) platform, it turns data into decisions. It enables IT teams to anticipate problems, act proactively, and improve the user experience.
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How to cut AI infrastructure spending without reducing GPU capacity

How to cut AI infrastructure spending without reducing GPU capacity

Sep 24, 2026 By ManageEngine In ManageEngine
Every infrastructure leader running AI workloads is staring at the same problem: GPU spending keeps climbing, the finance team wants a justification, and the operations team is caught between proving the infrastructure is necessary and explaining why the returns aren't keeping pace with the investment. The instinctive response is to either procure more capacity to handle growing demand or cut back on what's already deployed. Neither actually solves the problem.
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How does fragmented telemetry affect an AI system's ability to reason what's really happening?

Sep 24, 2026 By Virtana In Virtana
Fragmented telemetry limits what AI can understand. When logs, metrics, and traces remain siloed, AI sees individual signals instead of the full story. That can lead to incorrect conclusions and unexpected outcomes. This is where AI observability matters. Virtana connects telemetry across the stack, giving AI the context it needs to correlate signals, understand dependencies, and identify what is really happening.
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