Research and Collaboration Hub

Foster a conducive environment for better collaboration and research

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 Research and Collaboration Interface - Research and Collaboration Hub

Research and Collaboration Interface


Foster enterprise-wide collaboration among multiple stakeholders by seamlessly sharing assets, documents, research papers, etc. Easily understand each operation through comprehensive context-aware help options available at every step. Develop a long-term enterprise-wide knowledge repository for artificial intelligence models

Research and Collaboration Hub

Collaboration Hub

  • Collaborate easily with multiple stakeholders, including data science project managers, data engineers, data scientists, and validation engineers for providing end-to-end data science project lifecycle
  • Manage projects in your personal user workspace and share assets to collaborate with other stakeholders
  • Perform several tasks, such as running, debugging, scheduling, editing, etc., of model pipeline

Contextual Help

  • Use the context-aware comprehensive help documentation for assistance at any step
  • Leverage the intuitive working interface with a tool-tip for each operation and parameter so that the user can decide which operation/input to use
Research and Collaboration Hub

Research and Knowledge Management Hub

  • Collaborate with other stakeholders to publish, share, and review documents, such as articles, research papers, project documents, etc.
  • Ensure smooth collaboration with in-built user messaging and knowledge repository
  • Manage projects in a personalized way using ‘My Projects’. Create multiple data science experiment pipelines on a single project
  • Develop a long-term enterprise-wide knowledge repository for artificial intelligence models

Capabilities of Newgen AI Cloud

Make informed business decisions and deliver a transformed customer experience

Visually prepare data at a massive scale

Leverage an intuitive drag-and-drop design studio for model development

Rely on the server for intuitive model deployment and performance monitoring

Optimize your machine learning (ML) model development for high performance and accuracy

Leverage a visual interface for data exploration, comprehensive reporting, and data cleansing

Foster a conducive environment for better collaboration and research