To CIOs and CISOs overseeing critical production systems, AI can seem chaotic: It’s a dynamic, constantly evolving ecosystem, where current certifications and standards may not apply the same way, if at all. But AI can’t be ignored - properly implementing and integrating an AI strategy can be a massive boon to the enterprise, but the key word is “properly.” Red Hat has always been committed to having our platforms conform to the certification and standards requirements of enterprise IT across industries. AI is no different, so we’re pleased to announce that Red Hat OpenShift AI has s

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The utility industry is currently facing a multitude of hurdles that are driven by a combination of aging infrastructure, changing energy landscape and evolving customer expectations. The power grid, specifically, is undergoing its greatest transformation since inception, with new challenges imposing problems that our grid is not equipped to handle.As utilities adopt a software-defined infrastructure,bringing IT best practices to OT ecosystems becomes increasingly feasible. By virtualizing applications and taking advantage of advancements in edge computing platforms and AI, utilities can moder

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این تصویر روشی به نام تحلیل ۵ چرا (5 Whys) را نشان می‌دهد که برای یافتن ریشه اصلی مشکلات استفاده می‌شود. مثال مطرح‌شده درباره ترک کارکنان یک سازمان است:

1. چرا؟
چون حقوق پایین است.


2. چرا حقوق پایین است؟
چون نظام جبران خدمات به‌روز نیست.


3. چرا نظام جبران خدمات به‌روز نیست؟
چون داده‌های بازار جمع‌آوری نمی‌شود.


4. چرا داده‌ها جمع‌آوری نمی‌شود؟
چون واحد منابع انسانی ابزار و فرایند لازم را ندارد.


5. چرا ابزار و فرایند وجود ندارد؟
چون استراتژی منابع انسانی بر پایه داده تعریف نشده است.



🔎 نتیجه‌گیری:
مشکل اصلی، پایین بودن حقوق نیست، بلکه نبود رویکرد داده‌محور در منابع انسانی است.



#5why #why

مساله دیگر

مسأله: رضایت مشتریان پایین است.

1. چرا؟
چون شکایت‌های مشتریان زیاد است.
2. چرا شکایت‌های مشتریان زیاد است؟
چون کیفیت خدمات/محصول ثابت نیست.
3. چرا کیفیت خدمات/محصول ثابت نیست؟
چون فرآیند کنترل کیفیت ضعیف است.
4. چرا فرآیند کنترل کیفیت ضعیف است؟
چون استانداردهای مشخص و داده‌های کافی برای پایش کیفیت وجود ندارد.
5. چرا استاندارد و داده وجود ندارد؟
چون سیستم مدیریت کیفیت و بازخورد مشتریان به‌صورت داده‌محور تعریف نشده است
✅ نتیجه: مشکل اصلی، کیفیت پایین یا شکایت مشتری نیست، بلکه نبود سیستم مدیریت کیفیت داده‌محور است

Red Hat has formed a collaboration with Great Wave AI to make AI more usable for organisations of all sizes.Red Hat has a bold vision to help enterprises bridge their existing world and the new world of AI: supporting any model, on any accelerator, on any cloud, powered by open source. At this year’s Red Hat Summit, we made dozens of announcements extending our AI portfolio and ecosystem partnerships. Since then, we are excited to have formed a collaboration with Great Wave AI, a UK-based provider of an agentic generative AI (gen AI) platform. Together we aim to combine the scale, security f

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Red Hat helps organizations embrace AI innovation by providing a comprehensive and layered approach to security and safety across the entire AI lifecycle. We use our trusted foundation and expertise in open hybrid cloud to address the challenges around AI security, helping our customers build and deploy AI applications with more trust.Understanding enterprise AI security risksAs organizations adopt AI , they encounter significant security and safety hurdles. These advanced workloads need robust infrastructure and scalable resources and a comprehensive security posture that extends across the A

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If you're building on Red Hat OpenShift, then your mission is likely the same as countless systems administrators: Provide a consistent, reliable application platform that spans from your data center to the public cloud. But as many platform teams have discovered, that seamless hybrid vision often runs into the practical hurdle of storage.Managing persistent storage for stateful apps introduces complexity, especially when your clusters span on-premises infrastructure and cloud environments like Red Hat OpenShift Service on AWS (ROSA). Different environments can mean different tooling, differen

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Modernizing your infrastructure often involves optimizing resources. One such approach is to converge virtualization and container platforms. Red Hat OpenShift Virtualization provides a powerful solution, allowing you to run virtual machines (VM) and containers side by side while enabling you to easily migrate to modern platforms at your own pace. Migrating traditional VM workloads demands a well planned approach. This is where the synergy of Red Hat OpenShift Virtualization, Red Hat Ansible Automation Platform, and Red Hat Consulting, or your preferred partner services, is key to success. O

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In today's business, success isn't just about playing the game–it's about having the right strategy to win. Like a top team constantly adapting its formation to a changing opponent, organisations are grappling with complex IT environments, rising costs, and the need to modernise for workloads like AI. The question is, how do we find a way forward that provides greater control and a clear path to innovation? The answer lies in how we approach virtualization.To help leaders understand how the situation has shifted, Red Hat released a report on the state of virtualization. It reveals critical

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Diginomica - US AI Action Plan, part 3 – how to be fast, sustainable, and efficient. Just don’t call it ‘green’!America’s AI Action Plan emphasizes speed, scale, and efficiency through deregulation, faster permitting, and infrastructure build-out. It promotes open-source/open-weight models, energy expansion, and ideological neutrality while avoiding green labels despite its focus on sustainability. Learn more Taming hybrid cloud complexity: A path to true agilityMarco Bill discusses the challenges that IT leaders face today, and how Red Hat OpenShift offers a unified platform to ma

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Today's IT leaders face intense pressure to accelerate innovation while managing a complex mix of technologies. They are faced with the challenge of integrating AI, modernizing legacy systems and controlling costs within a complex hybrid cloud that spans datacenters, public clouds and the edge. The core question for every technology leader is how to build a platform strategy that tames this complexity, strengthens security and reliability, and creates a foundation for future growth.At Red Hat, our hybrid cloud strategy is designed to solve this challenge. We believe the solution is a consist

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Are you excited to try out post-quantum cryptography in Red Hat Enterprise Linux (RHEL), but you haven't yet upgraded to RHEL 10? Our efforts to ensure that you're ready to make the switch, and to prepare your organization for "Q-Day", now start with RHEL 9.7. By getting started now, you can proactively begin strengthening your security posture and preparing for a seamless transition to RHEL 10.RHEL 9 was released in 2022 and was an important step forward from a security perspective. It was the first version of RHEL that received FIPS 140-3 certification, matching current security requirement

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Enterprise technology leaders face a central challenge: building the future while managing the present. This requires a dual focus: a clear, forward-looking vision for what's next and the ability to execute and deliver results today, at scale, across the entire enterprise. It’s this combination of vision and execution that separates leaders from the rest.At Red Hat, our strategy is built to help you meet this challenge. Think of your enterprise as a thriving city. To function, it needs reliable infrastructure—power, water, roads—that work flawlessly today. That’s execution. But it al

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From communal effort to legal mandateThe world runs on open source. From the applications you use daily to the critical infrastructure powering our society, open source software is ubiquitous. However, this widespread adoption has brought with it an escalating need for robust security, a reality starkly highlighted by incidents like SolarWinds and the more recent XZ Utils vulnerability. While the open source community often demonstrates remarkable resilience and collaboration in addressing threats, a significant shift in responsibility is now underway, driven in part by legislation, such as th

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همه مواردی که گفتید در لینوکس قابل پیاده سازی هست .
از active directory گرفته تا gpo و mssql و ...
پیشنهاد میکنم راه اندازی کنید و از قدرت و مزایا اون برای stack ویندوزی لذت ببرید .
سری به zentyal هم بزنید .

لوگوش هم شبیه لوگو شماست . 😊😁
من اولش فکر میکردم شما از zentyal الهام گرفتید .

هروقت لوگو شما را میبینم یاد zentyal می افتم .

من به صورت تجاری هم راه اندازی کردم . نکته و سوالی داشتید ، در خدمتم 🙏

البته sambabox هم هست . یک بیزینس ترکیه ای است .

Training large language models (LLMs) is a significant undertaking, but a more pervasive and often overlooked cost challenge is AI inference. Inference is the procedure by which a trained AI model processes new input data and generates an output. As organizations deploy these models in production, the costs can quickly become substantial, especially with high token volumes, long prompts, and growing usage demands. To run LLMs in a cost-effective and high-performing way, a comprehensive strategy is essential.This approach addresses two critical areas: optimizing the inference runtime and optimi

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Note: This post is the first in a series that will take readers inside our AI projects, share how we’re equipping our engineers for the AI era, and dig into the legal and ethical frameworks we’re grappling with at Red Hat. Our intention is to not only highlight our practices, but also start discussions and spur ideas on the future of software development.The world of technology is in the midst of a seismic shift. Artificial intelligence, particularly generative AI (gen AI), is rapidly evolving from a futuristic concept into a tangible tool with the potential to redefine how we build softwa

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Recently, we’ve shared a lot about post-quantum cryptography, the great work we’re doing to make it available to you through our products, and the importance of preparing for a future with quantum computers powerful enough to break classic RSA-based cryptography. You may have heard about “Q-day,” the day when a cryptographically relevant quantum computer (CRQC) is available to break public-key encryption–the underpinning of our digital world today. If you missed it, this risk is real, and proactive organizations are already preparing for it. Q-day is predicted to occur between 2029 a

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