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.
Data-Driven Innovation (DDI) refers to the realization of product, service or business model innovation using data analytics and digital technologies. This approach is a critical tool for companies to make better decisions, improve customer experience, and gain competitive advantage.
Natural language processing (NLP), a branch of artificial intelligence, addresses the understanding of human language (both in written and spoken form) by computers.
Synthetic data generation is the process of generating datasets that mimic the statistical properties and patterns of real data, but are completely artificially created.
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