Datatron in the news
WebDomino’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.
Datatron in the news
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WebExtensive experience with Lisp, C++, OCaml and Python. Experience with distributed server-based systems, multi-tiered architectures. Able to work under tight deadlines and rapidly changing priorities. WebA confusion matrix is a performance measurement tool, often used for machine learning classification tasks where the output of the model could be 2 or more classes (i.e. binary classification and multiclass classification). The confusion matrix is especially useful when measuring recall, precision, specificity, accuracy, and the AUC of a ...
WebHere at Datatron, we offer a platform to govern and manage all of your Machine Learning, Artificial Intelligence, and Data Science Models in Production. WebDatatron 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 whitepaper Success Story: Global Bank Monitors 1,000’s of …
WebIndustry leaders in the Fortune 100 rely on the Datatron to operationalize and govern AI solutions at scale, producing predictable, profitable, and explainable business outcomes with AI. Founded in 2016, Datatron is a … WebMar 22, 2024 · SAN FRANCISCO, March 22, 2024 /PRNewswire/ -- Datatron today announced that The Business Intelligence Group has named the company a winner in its …
WebWe, at Datatron, provide an enterprise-grade platform that helps you to supervise your Machine Learning models for high precision deployment to meet the regulatory requirements and effective management of the entire machine learning life cycle. Follow us on Twitter and LinkedIn. Thanks for reading! BLOG Version Control for ML Models
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