Leadership, Panel and Event Presentations
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.
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.
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.
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.