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3 Dirty Secrets of MLOps – The Hidden Costs of Open Source Software & Big Cloud

Lance Wills, Head of AI Growth @Datatron
A Guide for AI Executives to Accelerate ROI from AI/ML and Avoid Common Delays    The proverbial “best [...]
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MLOps Maturity Model (M3) – What’s Your Maturity in MLOps?

Lance Wills, Head of AI Growth @Datatron
AI GovernanceMachine LearningMLOpsModel GovernanceModel Management
Every journey of 1,000 miles begins with a single step and your AI/ML journey into gaining business value from your [...]
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AI Governance: Artificial Intelligence Model Governance

Datatron Technologies
What is AI governance? At the federal level (e.g., United States government), Artificial intelligence governance is the [...]
blog

MLOps: 5 Common Pitfalls and How to Overcome Them

Aaron Reed
AI GovernanceBusiness ExecutivesData ScientistsMachine LearningML EngineersMLOps
    Tell me if this sounds familiar. Your company decided to use data to solve a problem but new problems [...]
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MLOps Webinar – “Key Strategies Enterprises Can Implement Today to be Successful in AI”

Morgane Knox
AI GovernanceBusiness ExecutivesData ScientistsMachine LearningML EngineersMLOpsModel GovernanceModel ManagementModelOps
Join 451 Research’s Nick Patience, Datatron Founder/CEO Harish Doddi, and Domino’s Sr. Data Science Manager [...]
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Datatron: MLOps Platform – Self-Guided In-Product Demo Series (7 Mini-Videos)

Lance Wills, Head of AI Growth @Datatron
AI GovernanceBusiness ExecutivesData ScientistsMachine LearningML EngineersMLOpsModel GovernanceModel ManagementModelOps
Explore Datatron’s FLEXIBLE MLOps and AI Governance features at your own pace in this self-guided in-product demo [...]
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What is Model Risk Management

Datatron Technologies
Model Management
The number of large institutions relying on models is rising and the rate will continue across all industries into the [...]
blog

Why AI “Centers of Excellence” (CoE’s) Love MLOps and AI Governance Platforms

Lance Wills, Head of AI Growth @Datatron
AI GovernanceBusiness ExecutivesExplainabilityMachine LearningML EngineersMLOpsModel GovernanceModel ManagementModelOps
Artificial Intelligence is commonly accepted as the fifth pillar of Digital Transformation. While AI is in its nascent [...]
blog

The Three “Lines of Defense” Every ML Program Needs: AI Governance

Lance Wills, Head of AI Growth @Datatron
As Artificial Intelligence and Machine Learning creep further and further into our businesses and everyday lives, [...]
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whitepaper

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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whitepaper

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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whitepaper

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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whitepaper

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%.

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whitepaper

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.

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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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Our Latest *** RELEASE ***

Datatron 3.0

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Datatron continues to innovate and improve data scientist workflows with our latest release, which includes a JupyterHub Integration, Kubernetes Management and more Enterprise-grade features.

See the Release Notes!