Altair AI Hub is a powerful platform designed to enable seamless collaboration across data science teams at scale. It offers a central workspace where teams can work together on AI projects, share resources, execute workflows, and deploy models. Built on advanced container technology, Altair AI Hub caters to users of all skill levels, allowing those without programming expertise and seasoned developers to contribute effectively to AI projects. It streamlines the process of reusing work, ensuring that team members' work remains secure and governed by access permissions. The platform's project-based framework organizes the work related to specific use cases, enabling team members to collaborate easily and share resources across similar projects. With advanced versioning capabilities, AI Hub allows for safe experimentation, while maintaining full version control, ensuring that team members don't overwrite each other's work.

Key Features:

• Integrate: Connect Altair AI Hub with your existing infrastructure and data sources, including Hadoop and big data systems. You can also expose web APIs for external integrations.
• Manage: The project-based framework enables centralized collaboration and governance of AI projects, improving team efficiency and accountability.
• Track: Altair AI Hub integrates fine-grained version control based on Git standards, providing traceability and agility for all team members working on AI projects.
• Secure: The platform's robust security features allow you to authenticate users, control access, encrypt data, and audit usage to ensure governance and protect sensitive information.
• Automate: Schedule workflows, deploy models, and create web apps such as interactive customer-facing dashboards, all within a scalable, enterprise-grade environment.

Key Benefits:

• Collaboration: Easy sharing of resources and workflows across teams, enabling efficient work management and project reuse.
• Security: Full control over data access and visibility ensures that all insights are based on secure and credible information.
• Agility: Accelerates model deployment and workflow execution with automated scheduling, deployment capabilities, and cross-application integration.