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.
AI-driven Research and Collaboration Capabilities of NewgenONE Platform
Enterprise-grade 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
Embedded Contextual Guidance
Use the context-aware comprehensive help documentation for assistance at any step
Leverage intuitive, intelligent user interface with in-line tooltips for each operation and parameter, enabling users to make faster, more accurate inputs and decisions while working within complex workflows
Advanced 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