Artificial Intelligence (AI) is gaining a strong momentum in business leading to novel business models and triggering business process innovation. This article reviews key AI technologies such as machine learning, decision theory, and intelligent search and discusses their role in business process innovation. Besides discussing potential benefits, it also identifies sources of potential risks and discusses a blueprint for the quantification and control of AI-related operational risk.
| Published in | European Business & Management (Volume 4, Issue 2) |
| DOI | 10.11648/j.ebm.20180402.12 |
| Page(s) | 55-66 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2018. Published by Science Publishing Group |
Artificial Intelligence, Operational Risk, Technology Benefits and Risks, Machine Learning, Decision Theory, Search Algorithms
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APA Style
Jana Koehler. (2018). Business Process Innovation with Artificial Intelligence: Levering Benefits and Controlling Operational Risks. European Business & Management, 4(2), 55-66. https://doi.org/10.11648/j.ebm.20180402.12
ACS Style
Jana Koehler. Business Process Innovation with Artificial Intelligence: Levering Benefits and Controlling Operational Risks. Eur. Bus. Manag. 2018, 4(2), 55-66. doi: 10.11648/j.ebm.20180402.12
AMA Style
Jana Koehler. Business Process Innovation with Artificial Intelligence: Levering Benefits and Controlling Operational Risks. Eur Bus Manag. 2018;4(2):55-66. doi: 10.11648/j.ebm.20180402.12
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Download@article{10.11648/j.ebm.20180402.12,
author = {Jana Koehler},
title = {Business Process Innovation with Artificial Intelligence: Levering Benefits and Controlling Operational Risks},
journal = {European Business & Management},
volume = {4},
number = {2},
pages = {55-66},
doi = {10.11648/j.ebm.20180402.12},
url = {https://doi.org/10.11648/j.ebm.20180402.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ebm.20180402.12},
abstract = {Artificial Intelligence (AI) is gaining a strong momentum in business leading to novel business models and triggering business process innovation. This article reviews key AI technologies such as machine learning, decision theory, and intelligent search and discusses their role in business process innovation. Besides discussing potential benefits, it also identifies sources of potential risks and discusses a blueprint for the quantification and control of AI-related operational risk.},
year = {2018}
}
TY - JOUR T1 - Business Process Innovation with Artificial Intelligence: Levering Benefits and Controlling Operational Risks AU - Jana Koehler Y1 - 2018/04/10 PY - 2018 N1 - https://doi.org/10.11648/j.ebm.20180402.12 DO - 10.11648/j.ebm.20180402.12 T2 - European Business & Management JF - European Business & Management JO - European Business & Management SP - 55 EP - 66 PB - Science Publishing Group SN - 2575-5811 UR - https://doi.org/10.11648/j.ebm.20180402.12 AB - Artificial Intelligence (AI) is gaining a strong momentum in business leading to novel business models and triggering business process innovation. This article reviews key AI technologies such as machine learning, decision theory, and intelligent search and discusses their role in business process innovation. Besides discussing potential benefits, it also identifies sources of potential risks and discusses a blueprint for the quantification and control of AI-related operational risk. VL - 4 IS - 2 ER -
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