The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Data Science for Industry 4.0
Abstract
Proliferation of smart devices coupled with advances in computing technologies has aided smart decision-making. Though the term data science is of recent origin, the field utilizes cornerstone computing and statistical concepts to solve data-specific challenges. The role of a data scientist is to extract maximum information from raw data. This role has spawned across disciplines but only acts as a supplemental measure to actual domain knowledge. The field of data science encompasses analytics, artificial intelligence, and statistical modeling. Information security has not always been integral to the data science ecosystem. An increasingly connected world with heightened reliance on data has encouraged data scientists to be well-versed with data security. This article takes an overview of the commercial application using data science, machine learning, and big data.
Related Content
|
Princy Pappachan, Sreerakuvandana, Mosiur Rahaman.
© 2024.
26 pages.
|
|
Winfred Yaokumah, Charity Y. M. Baidoo, Ebenezer Owusu.
© 2024.
23 pages.
|
|
Mario Casillo, Francesco Colace, Brij B. Gupta, Francesco Marongiu, Domenico Santaniello.
© 2024.
25 pages.
|
|
Suchismita Satapathy.
© 2024.
19 pages.
|
|
Xinyi Gao, Minh Nguyen, Wei Qi Yan.
© 2024.
13 pages.
|
|
Mario Casillo, Francesco Colace, Brij B. Gupta, Angelo Lorusso, Domenico Santaniello, Carmine Valentino.
© 2024.
30 pages.
|
|
Pratyay Das, Amit Kumar Shankar, Ahona Ghosh, Sriparna Saha.
© 2024.
32 pages.
|
|
|