Understanding the implications of artificial intelligence on field service operations: A case study of BT

Y Wang, JP Skeete, G Owusu - Production Planning & Control, 2022 - Taylor & Francis
Driven by insufficient empirical research and understanding about AI deployment in operations
management, we set out to explore the implications of AI on field service operations. Via …

Progress and challenge of artificial intelligence

ZZ Shi, NN Zheng - Journal of computer science and technology, 2006 - Springer
… Mccarthy who is a creator of the LISP programming language proposed the field artificial
intel… Artificial intelligence has enjoyed tremendous success over the last fifty years. Its tools and …

[PDF][PDF] Managing artificial intelligence.

N Berente, B Gu, J Recker, R Santhanam - MIS quarterly, 2021 - academia.edu
… Technical fields, on one hand, focus on the technology and black-box the human and … As
a key boundary-spanning, interdisciplinary tradition, the information systems field is well poised …

Explainable artificial intelligence for autonomous driving: A comprehensive overview and field guide for future research directions

S Atakishiyev, M Salameh, H Yao, R Goebel - IEEE Access, 2024 - ieeexplore.ieee.org
Autonomous driving has achieved significant milestones in research and development over
the last two decades. There is increasing interest in the field as the deployment of …

[图书][B] Machine Learning: An Artificial Intelligence Approach (Volume I)

RS Michalski, JG Carbonell, TM Mitchell - 2014 - books.google.com
fields concerned with understanding intelligence. Such fields include cognitive science, artificial
intelligence, … The recent observance of the silver anniversary of artificial intelligence has …

An artificial intelligence system for a complex electromagnetic field problem. II. Method implementation and performance analysis

KJ Satsios, DP Labridis… - IEEE transactions on …, 1999 - ieeexplore.ieee.org
Artificial intelligence has been used to determine the electromagnetic field in a complex
electromagnetic field problem of a faulted overhead transmission line above earth and a buried …

Machine learning in python: Main developments and technology trends in data science, machine learning, and artificial intelligence

S Raschka, J Patterson, C Nolet - Information, 2020 - mdpi.com
… and trends that are prevalent in the current landscape of machine learning in Python. Our
contribution is a survey of the field, summarizing some of the significant challenges, taxonomies…

Characterization of central visual field loss in end-stage glaucoma by unsupervised artificial intelligence

M Wang, J Tichelaar, LR Pasquale, LQ Shen… - JAMA …, 2020 - jamanetwork.com
… First, we applied the unsupervised artificial intelligence method of archetypal analysis 9 ,10
to characterize the spatial patterns of 10-2 VF loss in end-stage glaucoma. Then, we …

Systematic review on machine learning (ML) methods for manufacturing processes–Identifying artificial intelligence (AI) methods for field application

S Fahle, C Prinz, B Kuhlenkötter - Procedia CIRP, 2020 - Elsevier
… of the use of machine learning/ data mining or other AI implementations for former years,
for example HARDING ET AL. who give an overview of artificial intelligence applications from …

Artificial intelligence in cardiology

KW Johnson, J Torres Soto, BS Glicksberg… - Journal of the American …, 2018 - jacc.org
… aspects of artificial intelligence and machine learning, reviews … medicine could incorporate
artificial intelligence in the future. In … data compared with other fields are limiting factors for the …