Posts byPatchen Noelke
For machine learning leaders that need to put ML models into production faster, more securely and cost-effectively, Algorithmia is machine learning operations (MLOps) software that manages all stages of the ML lifecycle within existing operational processes. Unlike inefficient, expensive and insecure do-it-yourself MLOps management solutions that lock users into specific technology stacks, Algorithmia automates ML deployment, optimizes collaboration between operations and development, leverages existing SDLC and CI/CD processes and provides advanced security and governance. Over 110,000 engineers and data scientists have used Algorithmia’s platform to date, including the United Nations, government intelligence agencies and Fortune 500 companies.
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9 March 2021
9 min read
Model risk refers to the inherent risks associated with running machine learning models in production. Read this post to learn how to manage model risk.
11 February 2021
4 min read
We were recently joined by Forrester VP Mike Gualtieri for a webinar about the eight critical areas of machine learning operations. Read the Q&A now.
11 September 2020
8 min read
AI/ML model governance is the overall process for how an organization controls access, implements policy, and tracks activity for models. Learn about model governance and how to implement it with our resources.