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Optimizing Analytics of Artificial Intelligence and Data Science

Mahesh Patidar1 , V. B. Gupta2 , Seema Patidar3

Section:Review Paper, Product Type: Journal Paper
Volume-7 , Issue-3 , Page no. 736-740, Mar-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i3.736740

Online published on Mar 31, 2019

Copyright © Mahesh Patidar, V. B. Gupta, Seema Patidar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Mahesh Patidar, V. B. Gupta, Seema Patidar, “Optimizing Analytics of Artificial Intelligence and Data Science,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.3, pp.736-740, 2019.

MLA Style Citation: Mahesh Patidar, V. B. Gupta, Seema Patidar "Optimizing Analytics of Artificial Intelligence and Data Science." International Journal of Computer Sciences and Engineering 7.3 (2019): 736-740.

APA Style Citation: Mahesh Patidar, V. B. Gupta, Seema Patidar, (2019). Optimizing Analytics of Artificial Intelligence and Data Science. International Journal of Computer Sciences and Engineering, 7(3), 736-740.

BibTex Style Citation:
@article{Patidar_2019,
author = {Mahesh Patidar, V. B. Gupta, Seema Patidar},
title = {Optimizing Analytics of Artificial Intelligence and Data Science},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2019},
volume = {7},
Issue = {3},
month = {3},
year = {2019},
issn = {2347-2693},
pages = {736-740},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3909},
doi = {https://doi.org/10.26438/ijcse/v7i3.736740}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i3.736740}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3909
TI - Optimizing Analytics of Artificial Intelligence and Data Science
T2 - International Journal of Computer Sciences and Engineering
AU - Mahesh Patidar, V. B. Gupta, Seema Patidar
PY - 2019
DA - 2019/03/31
PB - IJCSE, Indore, INDIA
SP - 736-740
IS - 3
VL - 7
SN - 2347-2693
ER -

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Abstract

Data science and machine learning are the key technologies when it comes to the processes and products with automatic learning and optimization to be used in the automotive industry of the future. This article defines the terms “data science” (also referred to as “data analytics”) and “machine learning” and how they are related. In addition, it defines the term “optimizing analytics” and illustrates the role of automatic optimization as a key technology in combination with data analytics. It also uses examples to explain the way that these technologies are currently being used in the automotive industry on the basis of the major sub-processes in the automotive value chain (development, procurement; logistics, production, marketing, sales and after-sales, connected customer). Since the industry is just starting to explore the broad range of potential uses for these technologies, visionary application examples are used to illustrate the revolutionary possibilities that they offer.

Key-Words / Index Term

Data science, big data, machine learning, automatic optimization, optimizing analytics, automotive industry

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