Prescriptive Analytics
The use of data, algorithms, and machine learning to recommend actions that can achieve desired outcomes.
The use of data, algorithms, and machine learning to recommend actions that can achieve desired outcomes.
A time-boxed period during which specific work must be completed and made ready for review, used in Agile project management.
A prioritization framework used to assess and compare the value a feature will deliver to users against the complexity and cost of implementing it.
ARIA attributes that notify assistive technologies about updates to parts of the web page that can change dynamically.
A cognitive bias where people perceive an outcome as certain while it is actually uncertain, based on how information is presented.
A unique attribute, feature, or capability of a product, service, or brand that sets it apart from competitors in the market.
The percentage of leads that convert into customers.
A type of model architecture primarily used in natural language processing tasks, known for its efficiency and scalability.
The process of turning a lead into a customer.