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- W3161296593 abstract "Fast data requires fast machine learning for fast decision-making. This is the core theme that underpins TML, and it is where the opportunities lie. Specifically, fast learning leads to fast decision-making that leads to faster realization of potential benefits from those decisions. For businesses, fast decision-making can be a source of competitive advantage in a commercial market where you are competing with other businesses for market share and customers [Davenport, 2006]. Speed in learning, by combining data streams with AutoML, is a fundamental departure from conventional machine learning (CML). The reduction in the friction due to the integration of AutoML for online learning and predictions offers opportunities for quicker scaling of solutions. It not only creates a frictionless machine learning process but also an elastic machine learning solution that can scale up or down as the (business) needs change." @default.
- W3161296593 created "2021-05-24" @default.
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- W3161296593 date "2021-01-01" @default.
- W3161296593 modified "2023-09-25" @default.
- W3161296593 title "The Business Value of Transactional Machine Learning" @default.
- W3161296593 doi "https://doi.org/10.1007/978-1-4842-7023-3_4" @default.
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