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Webinar

AI Governance: Your Path To Regulatory Excellence

By Lakshmi Randall, Sarah Gadd, Venkata Gunnu, Bich-Thuy Le
Model Governance

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
Model GovernanceModel ManagementModelOps

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
Machine LearningModel GovernanceModel ManagementModelOps

A look at the landscape of tools for building and deploying robust, production-ready machine learning models.
Webinar

Talk at ODSC West 2018

By Harish Doddi, Co-founder & CPO
ModelOps

A look at the landscape of tools for building and deploying robust, production-ready machine learning models.
Webinar

Talk at Finovate Spring 2018

By By Harish Doddi, Co-founder & CPO
Model GovernanceModel ManagementModelOps

A look at the landscape of tools for building and deploying robust, production-ready machine learning models.
whitepaper

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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whitepaper

Life Cycle of Machine Learning Models

Production-grade machine-learning models require strong deployment framework in order to reduce the time it takes to iterate a model faster, deploy new features quickly, and train on incoming data faster.

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whitepaper

Unique Challenges Of Machine Learning Models In Production

Production-grade machine-learning models require strong deployment framework in order to reduce the time it takes to iterate a model faster, deploy new features quickly, and train on incoming data faster.

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whitepaper

Model Deployment

Production-grade machine-learning models require strong deployment framework in order to reduce the time it takes to iterate a model faster, deploy new features quickly, and train on incoming data faster.

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whitepaper

Model Monitoring

Production-grade machine-learning models require strong deployment framework in order to reduce the time it takes to iterate a model faster, deploy new features quickly, and train on incoming data faster.

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whitepaper

Model Governance & Management

Production-grade machine-learning models require strong deployment framework in order to reduce the time it takes to iterate a model faster, deploy new features quickly, and train on incoming data faster.

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Our Latest Event

Datatron Website Re-branding Launch

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Ta-da! You are now experiencing the new Datatron web experience, including our new logo. Enjoy!

We Just Launched!