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Datatron Simplifies Platform for Operationalization of ML Models
Datatron announced today the latest version of its enterprise-grade MLOps platform, Datatron 3.0. Updates include increased flexibility, a new interface that simplifies data scientists’ workflow, and ease-of-use enhancements for the operational teams, resulting in an additional productivity gain of up to 68%.
Datatron Named Winner in 2022 Artificial Intelligence Excellence Awards
Datatron today announced that The Business Intelligence Group has named the company a winner in its Artificial Intelligence Excellence Awards program. Datatron provides an enterprise-grade, cloud-native Reliable AI™ platform that enables businesses to operationalize AI and ML models easily, accurately, and rapidly.
Datatron Offers Accelerated AI Model Deployment and AI Governance Program
To kickstart 2022, Datatron is offering five companies the chance to take part in a hyper-accelerated program that guarantees their AI models will be deployed or governed in less than two weeks, the company announced today.
Pros and Cons of Citizen Data Scientists
Organizations in almost every sector are actively working to see how they can leverage AI and ML to accelerate their business and achieve greater outcomes. In some circles, citizen data scientists have been widely promoted as being the solution to help organizations accelerate their ML/AI journey.
But as the saying goes, caveat emptor. While there are some benefits to having citizen data scientists, they are no silver bullet – and they certainly aren’t a replacement for true data scientists.
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.