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Case Study 4.8

Open Banking and Scaling And Replication among Data Science Teams — 2023–2028 Trends

34
Pages
Harvard
Style
~ 36–49 mins
Reading Time
Psychology Sociology NLP
Abstract

This case study investigates “Open Banking and Scaling And Replication among Data Science Teams — 2023–2028 Trends” using a topic modeling on open datasets. Through a socio-technical lens, the analysis integrates multi-source data to derive a stakeholder-aligned blueprint for researchers and practitioners.

Open Banking and Scaling And Replication among Data Science Teams — 2023–2028 Trends

ABSTRACT
Open Banking and Scaling And Replication among Data Science Teams — 2023–2028 Trends is unpacked across themes: security, equity, ethics, and costs. Limitations and future research paths are noted.
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