A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

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Digital sovereignty has gained new urgency amid rising geopolitical tensions, with some European IT leaders reconsidering ...

Aaron Erickson at QCon AI NYC 2025 emphasized treating agentic AI as an engineering challenge, focusing on reliability ...

Cybersecurity experts say AI and automation are changing how much impact manipulated data can have on government technology systems.

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When this data is organized chronologically—tracking changes in a specific metric over time—it becomes time-series data.

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

AI firms benefit from deep-dive content that builds expertise signals and supports product-led education. Published case studies show steady growth curves driven by evergreen content and content ...

A more advanced solution involves adding guardrails by actively monitoring logs in real time and aborting an agent’s ongoing ...

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