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

AI and Data Science capabilities of NewgenONE Platform

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

Leverage an intuitive visual interface to easily prepare data at a massive scale

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

Rely on the server for intuitive model deployment and performance monitoring

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

Foster enterprise-wide collaboration among multiple stakeholders by seamlessly for sharing AI models

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