Actionable Model Catalog
At Datatron, we make the life of Data Scientists easy. With our reliable Model Catalog, models are versioned, tagged, and found easily.
Model Catalog Overview
Feature: Centralized model management in one place
Benefit: The only place Data Scientists need to manage. DevOps have all the information from the catalog they need to proceed with deployment
Model Registry & Versioning
Feature: Version control
Benefit: Always know which models have been used in the past, and retain access to reuse any past model
Model Repository Connection:
Feature: Connector to customer’s model registry
Benefit: Simple and safe connection to existing model registry
Quick Deployment Pipelines:
Feature: Fast-track from model upload to deployment
Benefit: Guided, single-stop deployment from end-to-end for MLOps/Model Ops teams
Model Search & Tagging
Feature: Mechanics for model searching and categorizing
Benefit: Easy to find any model or any group of models
Datatron 3.0 Product Release – Enterprise Feature Enhancements
Streamlined features that improve operational workflows, enforce enterprise-grade security, and simplify troubleshooting.
Datatron 3.0 Product Release – Simplified Kubernetes Management
Eliminate the complexities of Kubernetes management and deploy new virtual private cloud environments in just a few clicks.
Datatron 3.0 Product Release – JupyterHub Integration
Datatron continues to lead the way with simplifying data scientist workflows and delivering value from AI/ML with the new JupyterHub integration as part of the “Datatron 3.0” product release.
Success Story: Global Bank Monitors 1,000’s of Models On Datatron
A top global bank was looking for an AI Governance platform and discovered so much more. With Datatron, executives can now easily monitor the “Health” of thousands of models, data scientists decreased the time required to identify issues with models and uncover the root cause by 65%, and each BU decreased their audit reporting time by 65%.
Success Story: Domino’s 10x Model Deployment Velocity
Domino’s was looking for an AI Governance platform and discovered so much more. With Datatron, Domino’s accelerated model deployment 10x, and achieved 80% more risk-free model deployments, all while giving executives a global view of models and helping them to understand the KPI metrics achieved to increase ROI.
5 Reasons Your AI/ML Models are Stuck in the Lab
AI/ML Executive need more ROI from AI/ML? Data Scientist want to get more models into production? ML DevOps Engineer/IT want an easier way to manage multiple models. Learn how enterprises with mature AI/ML programs overcome obstacles to operationalize more models with greater ease and less manpower.