PI Planning
Program Increment (PI) Planning is a cadence-based event that serves as the heartbeat of the Agile Release Train, aligning teams on goals and priorities for the next increment.
Program Increment (PI) Planning is a cadence-based event that serves as the heartbeat of the Agile Release Train, aligning teams on goals and priorities for the next increment.
The process of evaluating the impact and success of a feature after its release, based on predefined metrics and user feedback.
The area within a market where unmet needs or problems present potential for new products or services.
Reinforcement Learning from Human Feedback (RLHF) is a machine learning technique that uses human input to guide the training of AI models.
Simple Knowledge Organization System (SKOS) is a standard for representing knowledge organization systems such as thesauri, classification schemes, and taxonomies.
Must have, Should have, Could have, and Won't have (MoSCoW) is a method used to prioritize features or tasks.
A test proposed by Alan Turing to determine if a machine's behavior is indistinguishable from that of a human.
The process of continuously improving a product's performance, usability, and value through data-driven decisions and iterative enhancements.
Below the Line (BTL) refers to marketing activities targeting specific consumer groups through direct channels.