**New Feature Release**

"Datatron 3.0" – JupyterHub Integration, Kubernetes Management, Model Autocontainerization… [See the New Features!](/content/product/release/datatron-30/index.html)

### Get More Models into Production  
Data Scientists: Graduate More Models into Production, Create More Models, and Know What Your Models are Doing with Datatron.

### The Problem  
  
Data Scientists aren’t as effective as they could be when having to wear multiple hats to deploy models to production, monitor them, and explain what they are doing in the case of an audit. Time that could be better spent creating new models is often spent on other areas outside of their domain expertise.  
  
#### Not Getting AI/ML Models out of the Lab and into Production  
  
#### Wasting Time Maintaining Models Instead of Creating New Models  
  
#### Forced to Become an Ersatz DevOp Engineer Outside of Domain Expertise

### The Solution  
  
#### Enterprise at Scale  
Regardless of your Model development stack, Datatron can house your models on-prem or via our API. The more Models you can produce, the more revenue you generate for your company.  
[Get Your Models into Production](/content/enterprise-ready/index.html)  
  
#### AI Monitoring & AI Governance  
When the Risk & Compliance team asks you tough questions, be armed with the answers. Datatron helps anticipate these types of conversations and delivers the "Explainability," "Reliability," and "Responsibility" of a sophisticated AI/ML program.  
[Get ready for an Audit](/content/ai-monitoring-ai-governance/index.html)  
  
#### Model Operationalization (ModelOps)  
Data Scientists need to stop moonlighting as DevOps Engineers or ML Engineers and focus on building more models. With Datatron, your ModelOps team can be a team of one, so Data Scientists can spend more time building models.  
[Learn More about Operationalization](/content/mlops/index.html)

### Datatron Learning  
##### Enhance Your ML Ops Expertise  
[blog  
**A Walkthrough of the Machine Learning Life Cycle**  **Datatron Technologies**  
Do you have a project idea but you don’t know where to start? Or maybe you have a dataset and want to build a machine [...] ](/content/walkthrough-of-ml-life-cycle/index.html)

[event  
**Machine Learning Lifecycle 2021**  **March 30th - April 1st**  
Datatron in Action: Take Your Ml Models From Training to Production](https://odsc.com/speakers/datatron-in-action-take-your-ml-models-from-training-to-production/)

[webinar  
**Build Enterprise Solution For Model Operations & Governance**  **By Harish Doddi, Co-founder & CEO**  
A look at the landscape of tools for building and deploying robust, production-ready machine learning models.](https://thedataexchange.media/understanding-machine-learning-model-governance/)

### 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.  
[Get Whitepaper](/content/5-reasons-why-your-ai-ml-models-are-still-stuck-in-the-lab/index.html)

### Datatron 3.0 Product Release – Enterprise Feature Enhancements  
Streamlined features that improve operational workflows, enforce enterprise-grade security, and simplify troubleshooting.  
[Get Whitepaper](/content/learn/whitepapers/datatron-30-product-release-enterprise-feature-enhancements/index.html)

### 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.  
[Get Whitepaper](/content/learn/whitepapers/datatron-30-product-release-simplified-kubernetes-management/index.html)

### 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.  
[Get Whitepaper](/content/learn/whitepapers/datatron-30-product-release-jupyterhub-integration/index.html)

### 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%.  
[Get Whitepaper](/content/learn/whitepapers/success-story-bank-governs-1000s-of-models-on-datatron/index.html)

### 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.  
[Get Whitepaper](/content/whitepaper-download/success-case-dominos/index.html)