Think Different

  Photo by Tim Mossholder Red Hat OpenShift Data Science is a powerful platform designed for data scientists and developers working on artificial intelligence (AI) applications. Let’s dive into the details: What is Red Hat OpenShift Data Science? Red Hat OpenShift Data Science provides a fully supported environment for developing, training, testing, and deploying machine learning models. It allows you to work with AI applications both on-premises and in the public cloud . You can use it as a managed cloud service add-on to Red Hat’s OpenShift cloud services or as self-managed software that you can install on-premise or in the public cloud. Key Features and Benefits : Rapid Development : OpenShift Data Science streamlines the development process, allowing you to focus on building and refining your models. Model Training : Train your machine learning models efficiently within the platform. Testing and Validation : Easily validate your models before deployment. Deployment Flexibi...

Organizations often face the dilemma of choosing between  #onpremises  servers and a  #cloud -only approach. Let’s explore the pros and cons of each: Costs and Maintenance: On-Premises: Requires upfront capital investment in hardware, installation, software licensing, and IT services. Ongoing costs include staff salaries, energy expenses, hosting fees, and office space. Regular updates and replacements add to the financial burden. Cloud: Subscription-based model, reducing upfront costs. Managed by the cloud provider, minimizing maintenance efforts. Scalability without significant capital investment. Security and Compliance: On-Premises: Provides direct control over security measures. Suits organizations with strict compliance requirements. Cloud: Robust security measures implemented by cloud providers. Compliance certifications (e.g., ISO, SOC) for data protection. Shared responsibility model: Cloud provider secures infrastructure, while you secure data. Scalability and F...