[HTML][HTML] Is there a role for statistics in artificial intelligence?

S Friedrich, G Antes, S Behr, H Binder… - Advances in Data …, 2022 - Springer
The research on and application of artificial intelligence (AI) has triggered a comprehensive
scientific, economic, social and political discussion. Here we argue that statistics, as an …

Data science and interdisciplinarity

R Egger, J Yu - Applied Data Science in Tourism: Interdisciplinary …, 2022 - Springer
In parallel with the progression of technology, the tourism industry has been continuously
confronted with a large amount of data that needs to be systematically analyzed in order to …

Peer Review Buku Statistika Bidang Teknologi Informasi

A Limbong - Statistika Bidang Teknologi Informasi, 2021 - repository.unai.edu
Statistika salah satu disiplin ilmu yang paling penting untuk menyediakan alat dan metode
untuk menemukan struktur dan memberikan wawasan yang lebih dalam tentang data dan …

[HTML][HTML] Data-driven quality improvement approach to reducing waste in manufacturing

R Clancy, D O'Sullivan, K Bruton - The TQM Journal, 2023 - emerald.com
Purpose Data-driven quality management systems, brought about by the implementation of
digitisation and digital technologies, is an integral part of improving supply chain …

[HTML][HTML] Trans-AI/DS: transformative, transdisciplinary and translational artificial intelligence and data science

L Cao - International Journal of Data Science and Analytics, 2023 - Springer
After the many ups and downs over the past 70 years of AI and 50 years of data science
(DS), AI/DS have migrated into their new age. This new-generation AI/DS build on the …

The science of statistics versus data science: What is the future?

H Hassani, C Beneki, ES Silva, N Vandeput… - … Forecasting and Social …, 2021 - Elsevier
The importance and relevance of the discipline of statistics with the merits of the evolving
field of data science continues to be debated in academia and industry. Following a …

Machine learning and traditional econometric models: a systematic mapping study

ME Pérez-Pons, J Parra-Dominguez… - Journal of Artificial …, 2021 - sciendo.com
Abstract Context: Machine Learning (ML) is a disruptive concept that has given rise to and
generated interest in different applications in many fields of study. The purpose of Machine …

Revising the DIKW pyramid and the real relationship between data, information, knowledge, and wisdom

HJ Van Meter - Law, Technology and Humans, 2020 - search.informit.org
This paper offers a critique and reformulation of the data-information-knowledge-wisdom
(DIKW) pyramid. Today, collection of personal, business, industrial, and other types of data …

Data science literacy: Toward a philosophy of accessible and adaptable data science skill development in public administration programs

M Overton, S Kleinschmit - Teaching Public Administration, 2022 - journals.sagepub.com
Public administration is struggling to contend with a substantial shift in practice fueled by the
accelerating adoption of information technology. New skills, competencies and pedagogies …

Introducing DASC-PM: a data science process model

M Schulz, U Neuhaus, J Kaufmann, D Badura… - 2020 - aisel.aisnet.org
Data-driven disciplines like data mining and knowledge management already provide
process-based frameworks for data analysis projects, such as the well-known cross-industry …