Category: Uncategorized

  • Get started with AI for enterprise: A beginner’s guide

    Get started with AI for enterprise: A beginner’s guide Organizations are increasingly recognizing the opportunity that artificial intelligence (AI) presents for all aspects of their business. Download this eBook to learn how to accelerate your AI adoption with Red Hat’s open hybrid cloud strategy, giving you the flexibility to run your AI applications anywhere you…

  • Top 6 reasons to choose Red Hat for generative AI

    Top 6 reasons to choose Red Hat for generative AI Red Hat’s approach to artificial intelligence (AI) provides enterprises with a trusted, comprehensive, and consistent AI platform. Download this checklist to learn how to unlock the full potential of generative AI with Red Hat’s trusted, comprehensive, and consistent AI platform. Please fill your information below…

  • 5 ways Red Hat and AWS build AI value

    5 ways Red Hat and AWS build AI value Navigating the complexities of artificial intelligence (AI) deployments and integrations can be a daunting task. Red Hat® OpenShift® AI combined with Red Hat OpenShift Service on AWS offers a comprehensive, managed application platform in the cloud that can help businesses accelerate their AI strategy. Download this…

  • Maximize AI innovation with open source models

    Maximize AI innovation with open source models Across industries, generative artificial intelligence (AI) continues to transform how organizations manage operations, make decisions, and deliver innovative solutions. This e-book explores how Red Hat® Enterprise Linux® AI can help enterprises maximize artificial intelligence (AI) innovation. Please fill your information below to download the e-book.

  • Innovate with automation

    Innovate with automation Automation has become a must-have technology to respond to change. For more than a decade, automation-driven innovation has been informed by Ansible® and the open source community has continually expanded the possibilities of automation software. This collection of stories from real Red Hat® Ansible Automation Platform customers explores their challenges, approaches, and…

  • Navigate AI with Red Hat: Expertise, training, and support for your AI journey

    Navigate AI with Red Hat: Expertise, training, and support for your AI journey As the technology powering today’s organizations continues to change at a rapid rate, artificial intelligence (AI) is becoming a standard IT workload. In this e-book, we will explore Red Hat’s AI strategy, how the complete Red Hat AI portfolio can help organizations…

  • 4 considerations for choosing the right AI model

    4 considerations for choosing the right AI model Enterprise organizations are under increasing pressure to realize value with artificial intelligence (AI) and generative artificial intelligence (gen AI) as the technology continues to evolve. A crucial step in that process is selecting the right gen AI model, which can determine how effectively an organization can use…

  • Oracle Renewal vs. OpenJDK Comparison Guide

    Oracle Renewal vs. OpenJDK Comparison Guide With Oracle’s frequent Java licensing and pricing changes, organizations must evaluate their options before renewing their Oracle Java SE subscription. This guide provides an in-depth comparison of Oracle Java SE and OpenJDK alternatives, including Amazon Corretto, Microsoft Build of OpenJDK, Red Hat OpenJDK, Eclipse Temurin, and Azul Platform Core.…

  • Oracle Renewal vs. OpenJDK Comparison Guide

    Oracle Renewal vs. OpenJDK Comparison Guide With Oracle’s frequent Java licensing and pricing changes, organizations must evaluate their options before renewing their Oracle Java SE subscription. This guide provides an in-depth comparison of Oracle Java SE and OpenJDK alternatives, including Amazon Corretto, Microsoft Build of OpenJDK, Red Hat OpenJDK, Eclipse Temurin, and Azul Platform Core.…

  • Automated, high-sensitivity analysis of residual fumigants for food safety testing by multi-step enrichment–headspace–trap with GC–MS

    Automated, high-sensitivity analysis of residual fumigants for food safety testing by multi-step enrichment–headspace–trap with GC–MS This study demonstrates highly sensitive detection of residual fumigants in seeds and spices using MSE–HS–trap with GC–MS, achieving detection limits as low as 0.0018 mg/kg, well below EU regulatory limits. Excellent linearity (R² > 0.99), reproducibility, and throughput (40 samples/day)…