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Updates from BAO...
Ubuntu 25.10 introduces support for amd64v3 architecture variants, enhancing performance by targeting specific silicon variants, with full support expected in the 26.04 LTS release.
Google introduces quantum-safe KEMs in Cloud KMS to counter future quantum computing threats, urging organizations to transition to post-quantum cryptography.
Red Hat and NVIDIA partner to distribute the NVIDIA CUDA Toolkit across Red Hat platforms, aiming to simplify AI adoption and enhance developer experience.
Amazon plans to lay off 14,000 employees to streamline operations and boost AI investment, part of a broader strategy affecting up to 30,000 jobs.
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Discover why forward-thinking enterprises are replacing break-fix models with proactive application maintenance.
AI maturity measures an organizationâs ability to generate consistent business value from AI across strategy, data, people, and technology. The AI Maturity Model spans four stagesâInitial, Repeatable, Defined, and Optimizedâguiding firms from experimentation to full AI integration. Assessing AI maturity helps identify gaps, align investments, and turn AI from scattered projects into a sustainable, strategic advantage.
Have you ever wondered when âAIâ stopped being a sci-fi buzzword and started showing up in your morning to-do list? Somewhere between that first predictive email and the chatbot that apologizes better than most customer reps, it happened. Quietly. Suddenly. Like caffeine sneaking into your bloodstream before the day really begins. Thatâs where AI product development services come inânot as some sterile tech jargon, but as the very engine redefining how we build, think, and work.
