Your Source for Datatron Press Releases
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.
Datatron Awarded U.S. Patent for Methodology for Modeling Machine Learning and Analytics
ML introduces operational complexities and risks that need careful attention, and many projects fail due to siloed roles and disjointed processes. Datatron’s newly patented technology builds on the company’s track record of enabling businesses to easily, accurately and rapidly operationalize and monitor AI and ML models in production. It includes the introduction of a “challenger gateway module” that stabilizes the model’s endpoint and provides a bridge between the application team and the data science team.
Datatron Releases New Governance Dashboard to Provide Trust, Transparency, Traceability & Validation of AI/ML Solutions
Just as cyberattacks can be devastating to companies, so can poorly governed AI models. Datatron is solving this problem by democratizing AI governance, establishing trust and transparency, and mitigating risks and fines
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.
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.