Red Hat OpenShift Certified Kubernetes Operator brings portability and scalability benefits of containers across environments on the industry’s most comprehensive Kubernetes platform
Many companies today are trying to get more value for their business using AI and machine learning (ML). Dotscience provides an option beyond the usual choices for those not yet satisfied with their solution.
Dotscience is a tool that enables DevOps for machine learning (MLOps). Here we explain some of the MLOps terminology used in the product for audiences not familiar with this field.
Dotscience is all about simplifying model deployment to get you into production. How does this work for real projects?
Dotscience Principal Data Scientist Nick Ball explains how to annotate your Python code for Dotscience so that your work is 100% reproducible, accountable, and auditable
Dotscience partnership with GitLab underscores need to bring integrated DevOps practices to ML, enabling reproducibility, accountability, collaboration and continuous delivery for ML
Dotscience Gains Momentum in the MLOps Ecosystem and Accelerates Deployment of Machine Learning Models into Production with New Technology Partnerships and Product Innovations
Europe's leading provider of financial APIs deploys Dotscience on AWS to enable reproducibility, provenance and metric tracking of AI models
How TrueLayer use Dotscience to achieve MLOps
In this interview, Dotscience Founder & CEO Luke Marsden and Charles Radclyffe, Head of AI at Fidelity International reveal the Fidelity Maturity Matrix for evaluating and driving AI projects in large enterprises, and show how Dotscience model inventory, model management and infrastructure management accelerates progression through all three of the Demand, Scale and Governance Pillars.
Predicting and understanding the success of bank telemarketing calls.
AI is increasingly under scrutiny from regulators. To gain the public's trust, AI models will have to be both explainable and privacy-preserving.