Until now, machine learning toolkits focused on engaging with data scientists and R&D departments. An end-to-end SaaS platform, Dimension is built differently.
Its practical as well as powerful and works across the organization. Only then is it possible to deliver true business value.
For data science teams
Work with familiar data science (DS) tools and libraries
Easy deployment of ML solutions
No need to rewrite code to integrate with live systems
Reuse experimental code and deploy easily
Make your work count!
For operational users and managers
Enable routine use of data intelligence throughout the organization
Get instant visualization of the output from your DS team
Get real-time insight into your products and operations
Get alerts of upcoming anomalies to enable timely action
Customize your dashboard to get the digital representations you need
For IT administrators and data engineers
No need for large infrastructure on site
Secure, open and proven technologies
Easy integration with business and control systems using graphical dataflow tools
Standard adaptors for many databases, APIs, and file formats
Datastream ingestion and process flow
Easily and securely control user rights
A noSQL database deployed as multi-node replica set for maximum resilience
Replicated microservices technology to maximize uptime