ModelOps
ModelOps (Model Operations) is a set of practices for deploying, monitoring, and maintaining machine learning models in production environments.
ModelOps (Model Operations) is a set of practices for deploying, monitoring, and maintaining machine learning models in production environments.
Adhering to laws, regulations, and guidelines relevant to business operations and product development.
Artificial Superintelligence (ASI) is a hypothetical AI that surpasses human intelligence and capability in all areas.
The practice of collecting, processing, and using data in ways that respect privacy, consent, and the well-being of individuals.
The principles and guidelines that govern the moral and ethical aspects of design, ensuring that designs are socially responsible and beneficial.
The planning, development, and management of content to meet business and user needs, ensuring consistency and effectiveness across all channels.
The principle that the more a metric is used to make decisions, the more it will be subject to corruption and distort the processes it is intended to monitor.
The part of an application that encodes the real-world business rules that determine how data is created, stored, and modified.
Practical applications of behavioral science to understand and influence human behavior in various contexts.