Sponsored Content
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AI at the Edge – Fulfilling the Promise
The ability to deliver inference anywhere is essential for successfully using AI across the organization. A recent Evans Data study found 1.4X more inference demand is projected outside data centers vs. in. As a result, AI strategies based on a hybrid (cloud and edge) infrastructure strategy will be the preferred approach.
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Cloudflare's AI pivot: Agentic AI risk considerations for IT execs
Cloudflare cuts 1,100 jobs despite strong revenue growth, betting big on AI agents to reshape cybersecurity -- but experts warn ...
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'Take a breath:' A CISO's Claude Mythos advice for CIOs
Anthropic's Claude Mythos has generated buzz and alarm among CIOs and CISOs, who fear the model could expose vulnerabilities and ...
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New Starburst platform extends AI to distributed data
The vendor's approach to developing agents and other cutting-edge applications eliminates the time, cost and risks of moving data...
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Why AI forces security‑first governance
AI systems fail quietly through drift, biased outputs and degraded judgment. A security-first governance approach gives leaders ...