New Feature Release

“Datatron 3.0” – JupyterHub Integration, Kubernetes Management, Model Autocontainerization… See the New Features!

Webinars

Leadership, Panel and Event Presentations

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  • Webinar

MLOps Webinar: MLOps Best Practices – “Hybrid” MLOps

By Lance Wills, Head of AI Growth
Register for our latest upcoming MLOps webinar!
Webinar

Product Release: “Datatron 3.0” – Simplifying MLOps Workflows

By Datatron President, Victor Thu
Datatron shares their latest product release, “Datatron 3.0” in this informative webinar; features include a JupyterHub integration, simplified Kubernetes management, and more enterprise feature enhancements.
Webinar

MLOps Webinar – Key Strategies Enterprises Can Implement Now to be Successful with AI

By Datatron CEO Harish Doddi, Domino's Senior Data Science Manager, Zack Fragoso, & 451 Research founder, Nick Patience
Learn from experienced enterprise AI/ML practitioners as they discuss how they get AI up and running consistently and deliver business value quickly. Panelists will cover real-world “gotchas” and how they tackled them. Learn critical elements that you can implement today to yield positive results tomorrow to drive true ROI from AI/ML.
Webinar

AI Governance: Your Path To Regulatory Excellence

By Lakshmi Randall, Sarah Gadd, Venkata Gunnu, Bich-Thuy Le
Leading organizations are implementing ML/AI to optimize processes and production, increase revenue, and reduce cost and risks. Success depends on AI governance to meet compliance with current and future regulatory requirements and provide transparency to customers.
Webinar

Build Enterprise Solution For Model Operations & Governance

By By Harish Doddi, Co-founder & CEO
A look at the landscape of tools for building and deploying robust, production-ready machine learning models.
Webinar

Long-Term ML Models in Production

By By Harish Doddi, Co-founder & CPO
A look at the landscape of tools for building and deploying robust, production-ready machine learning models.
Webinar

Whitepapers

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.
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Datatron 3.0 Product Release – Enterprise Feature Enhancements

Streamlined features that improve operational workflows, enforce enterprise-grade security, and simplify troubleshooting.
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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.
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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.
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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.
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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.
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