Features of Rubiscape

Features of Rubiscape

rubiscape is another word for a holistic yet evolving world of data innovation. With the rubiscape platform, we combine our passion and expertise in data science and analytics, providing cloud scalability, managed services, accelerators, and frameworks to make your data innovation successful.

Some of the key features of rubiscape are given below.

Faster Machine Learning

  • Rapidly build the best models for statistical analysis using a rich library of more than hundred pre-built machine learning algorithms and functions
  • Conduct machine learning (supervised as well as unsupervised)
  • Use Natural Language Processing

Powered by Artificial Intelligence

  • Consume API-based AI/ML models with image processing, video processing, and text processing aligned with business processes or applications

Agile Design

  • Seamlessly integrate plug and play customizable components according to the needs and evolving expectations of the industry

Affordably Effective

  • Developed with high open-source technologies
  • Offered on Cloud as SaaS model
  • Simple to access and easy on the pocket (compared to the existing proprietary and on-the-premise products)

For Everyone

  • Engage in and enjoy model creation and collaboration
  • Use rubiscape even with the basic knowledge of statistics and without prior knowledge of programming

Scalability & Performance

  • Auto-scaling for dynamic workloads or sudden load surge
  • Guaranteed optimum performance during any situation

rubiscape Governor

  • Organize all your data tasks into clearly identified projects
  • Monitor audit trails for user activities, rights, and compliance with a dedicated dashboard

User Manager

  • Easy to use and simple interface for user management
  • Create, edit, and delete users from an intuitive process
  • Assign roles and access control while creating users
  • Create groups of multiple users and assign rights

Collaboration

  • Single platform for all user personas
  • Creating and share project documentation/knowledge base using Project Wiki
  • Share reusable components (datasets, models and so on) across various departments within the organization

Content Manager

  • Manage rights of users on workspaces, projects, and datasets at all levels
  • Provide edit, delete, and read rights to the users
  • Add detailed descriptions on the objects (datasets, code, models, and so on)

Deployment options

  • Choose from on-site deployment and cloud deployment options
  • Single-machine server to support the needs of small to midsize organizations
  • Handle growing data, increasing workloads and scalability requirements using distributed server
  • Enterprise hosting
  • Private or public cloud (similar to BYOL-Bring Your Own License functionality) infrastructure
  • Managed Software as a Service (SaaS)
  • Cloud Foundry Platform as a Service (PaaS) to support multiple cloud providers


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