ModelOps
ModelOps (Model Operations) is a set of practices for deploying, monitoring, and maintaining machine learning models in production environments.
53 topics found for
“machine learning operations”
ERP
Enterprise Resource Planning (ERP) are integrated software systems that manage business processes across various departments, such as finance, HR, and supply chain.
Prompt Defense
A method used in AI and machine learning to ensure prompts and inputs are designed to produce the desired outcomes.
Product Operating Model
A framework that outlines how a product is developed, managed, and delivered, including roles, processes, and tools used throughout its lifecycle.
Machine Learning Bias
Systematic errors in AI models that arise from the data or algorithms used, leading to poor outcomes.
Digital Twin
A digital replica of a physical entity, used to simulate, analyze, and optimize real-world operations.
DevOps
A set of practices that combines software development (Dev) and IT operations (Ops) to shorten the development lifecycle and deliver high-quality software continuously.
BPA
Business Process Automation (BPA) refers to the use of technology to automate complex business processes.
SRE
Site Reliability Engineering (SRE) is a discipline that incorporates aspects of software engineering and applies them to infrastructure and operations problems to create scalable and highly reliable software systems.