Transactional Machine Learning with Data Streams and AutoML: Build Frictionless and Elastic Machine Learning Solutions with Apache Kafka in the Cloud Using Python

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2021

S. MauriceTransactional Machine Learning with Data Streams and AutoMLhttps://doi.org/10.1007/978-1-4842-7023-3_4

4. The Business Value of Transactional Machine Learning

Sebastian Maurice¹  

(1)

Toronto, ON, Canada

 

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 ...