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In the end, data gravity is not “winning” because the industry suddenly became nostalgic for on-premises infrastructure. It is winning because enterprises are rediscovering the obvious fact that the fastest, most secure, and most economical path to insight moves the least data.
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Self-driving IT isn’t hands-off. It’s higher leverage: Automation handles scale, and people remain responsible for intent and outcomes.
The post Why “Self-Driving IT” Still Needs a Driver appeared first on
Industrial IoT is not failing, but it is under pressure to evolve. Organizations that delay infrastructure modernization risk limiting their ability to adopt new technologies or respond to emerging threats. Those that invest in open, standards-based architectures are better positioned to build resilient systems that can adapt as requirements change.
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AI-driven supply chain orchestration can help food and restaurant operators break down their siloed data and unify procurement, logistics, and planning efforts.
In this week's real-time analytics news: The Linux Foundation announced the launch of the DNS-AID project, an open-source project enabling AI agents to discover and communicate with one another in a standard way.
The post Real-time Anal...