… significant policy developed by these early adopters. This study specifically recognizes …
machine learning to be applied in numerous business areas to begin profound machine learning …

… adopters, dominated by academic institutions, and few use cases in general practice. With
scale and a focus on innovation, our practice has had the opportunity to be an early adopter of …

… Williston, Florida, Joshua Brown, an early adopter and Tesla enthusiast, died at the wheel of
… the development and application of machine learning. With machine learning, as with other …

… This study aims to explore the perspectives of early adopter health care professionals (HCP)
on digital transformation in outpatient rheumatology. In-depth qualitative interviews were …

… The authors argued that cognitive technologies such as AI, machine learning, and natural
language processing can enable marketers to analyze customer data and behavior to provide …

… for EV adoption to identify key differences amongst actual adopters (Lee, Hardman, and Tal
… of early adopters this study compares two groups of early adopters characterised by Tesla …

… Although there are likely many successful approaches to this question, we will focus on our
approach based on our experience as early adopters. This approach incorporates several …

… However, Klein [23] pointed out that Roger’s approach does not address the issue of why
early adopters of one technology might be or should be an early adopter of another technology…

… Please note that we use ‘early adopters’ to denote sites involved in the early stages of
EPS2 implementation. Also, note that we use the term ‘real user’ to denote actual users of the …

… For example, Porsche (a car manufacturing company) is one of those early adopters of
ML and BT technologies; to improve automobile safety and increase capabilities. The …