… During graduate school, I learned in more detail about the algorithms common to the fields
of data mining, machine learning, and statistics; these included survival analysis, survey …

… Specifically, the goals of our study are: (i) to study the role that early adopters have in the …
positive acceptance of the innovation among its early adopters. The chapter is structured as …

… While working on the implementation strategies for the selected technologies, companies
need to decide as well whether to be one of the early adopters of a particular technology or be …

… data is for Ireland, we anticipate that our findings would be applicable to other early
adopter countries that need such insights to design their policy mix for RET adoption. …

… major challenges faced by early adopters and therefore limiting … is therefore to provide early
adopters with tools and methods … at enabling AM adopters to early achieve positive business-…

… machine learning, ie, methods that assume that machine intelligence derives from learning;
… Furthermore, there are no early adopters of infused technologies, simply adopters, since all …

… us to characterize who the early—and, by extension, the most likely later—AI adopters are
in the … Reported in Table A1, while more-generic machine learning was highly prevalent in …

… Our findings provide guidance for adopter organizations as they seek to deploy viable … to
early majority status. We present important insights for both early adopters and potential early …

… This paper employs a machine learning approach to examine the digitalization process
of bank customers using a comprehensive consumer finance survey. By employing a set of …

… of a machine learning sepsis early warning system (Sepsis … frontline clinicians perceived
machine learning models and the … efforts to implement machine learning interventions in real-…