Run-time or run-time computing refers to the type of computing in which multiple computing tasks occur simultaneously or at overlapping times. These tasks can be performed by individual computers, specific applications, or across the network. Run-time computing is often used in Big Data environments to process very large data sets. Careful coordination between systems and across Big Data architectures regarding task scheduling, data exchange, and memory assignment is required to operate efficiently and effectively.
Zero-based budgeting is an effective tool for organizations to control costs, manage resources, improve business processes, and improve performance.
Data contracts are formal agreements between the manufacturer of a data product and its consumers. These agreements clearly define the structure, format, quality criteria and conditions of use of the data.
Automated machine learning, called AutoML (Automated Machine Learning) in the field of artificial intelligence and machine learning, describes integrated software platforms for the creation, training and optimization of a machine learning model.
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