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OneBankassure: Customer intimacy through machine learning

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Published

Standard

OneBankassure: Customer intimacy through machine learning. / Beath, Cynthia M.; Tarafdar, Monideepa; Ross, J.W.
ICIS2018 Proceedings . AIS Electronic Library, 2018.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Beath, CM, Tarafdar, M & Ross, JW 2018, OneBankassure: Customer intimacy through machine learning. in ICIS2018 Proceedings . AIS Electronic Library. <https://aisel.aisnet.org/icis2018/education/Presentations/7/>

APA

Beath, C. M., Tarafdar, M., & Ross, J. W. (2018). OneBankassure: Customer intimacy through machine learning. In ICIS2018 Proceedings AIS Electronic Library. https://aisel.aisnet.org/icis2018/education/Presentations/7/

Vancouver

Beath CM, Tarafdar M, Ross JW. OneBankassure: Customer intimacy through machine learning. In ICIS2018 Proceedings . AIS Electronic Library. 2018 Epub 2018 Oct 30.

Author

Beath, Cynthia M. ; Tarafdar, Monideepa ; Ross, J.W. / OneBankassure : Customer intimacy through machine learning. ICIS2018 Proceedings . AIS Electronic Library, 2018.

Bibtex

@inproceedings{422bcf376f4942aaa06199832d160521,
title = "OneBankassure: Customer intimacy through machine learning",
abstract = "OneBankAssure [a pseudonym] sought to delight its customers by delivering new digital value propositions that exploited new data science and machine learning disciplines. The company created a new organizational unit focusing on these disciplines and funded many new use cases that leveraged them. This case describes the practices of this new unit and recounts the story of the development of one of the company's successful machine learning use cases. To create fertile ground for the use of machine learning capabilities, the company was also making significant investments in training and culture change, so as to become a more data-driven and evidence-based organization. ",
keywords = "AI Model Management, Co-creation, Machine Learning, Information systems, Information use, Learning systems, Culture change, Customer intimacy, Data driven, Digital values, Evidence-based, Model management, Organizational units, Machine learning",
author = "Beath, {Cynthia M.} and Monideepa Tarafdar and J.W. Ross",
year = "2018",
month = dec,
day = "13",
language = "English",
booktitle = "ICIS2018 Proceedings",
publisher = "AIS Electronic Library",

}

RIS

TY - GEN

T1 - OneBankassure

T2 - Customer intimacy through machine learning

AU - Beath, Cynthia M.

AU - Tarafdar, Monideepa

AU - Ross, J.W.

PY - 2018/12/13

Y1 - 2018/12/13

N2 - OneBankAssure [a pseudonym] sought to delight its customers by delivering new digital value propositions that exploited new data science and machine learning disciplines. The company created a new organizational unit focusing on these disciplines and funded many new use cases that leveraged them. This case describes the practices of this new unit and recounts the story of the development of one of the company's successful machine learning use cases. To create fertile ground for the use of machine learning capabilities, the company was also making significant investments in training and culture change, so as to become a more data-driven and evidence-based organization.

AB - OneBankAssure [a pseudonym] sought to delight its customers by delivering new digital value propositions that exploited new data science and machine learning disciplines. The company created a new organizational unit focusing on these disciplines and funded many new use cases that leveraged them. This case describes the practices of this new unit and recounts the story of the development of one of the company's successful machine learning use cases. To create fertile ground for the use of machine learning capabilities, the company was also making significant investments in training and culture change, so as to become a more data-driven and evidence-based organization.

KW - AI Model Management

KW - Co-creation

KW - Machine Learning

KW - Information systems

KW - Information use

KW - Learning systems

KW - Culture change

KW - Customer intimacy

KW - Data driven

KW - Digital values

KW - Evidence-based

KW - Model management

KW - Organizational units

KW - Machine learning

M3 - Conference contribution/Paper

BT - ICIS2018 Proceedings

PB - AIS Electronic Library

ER -