View Full Paper

Owner Consent Verified
Case Study 4.8

Natural Language Processing Adoption in Data Science Teams: Cost–Benefit Analysis — Evidence from Latin America

15
Pages
IEEE
Style
~ 15–24 mins
Reading Time
DEI Logistics IoT
Abstract

This case study investigates “Natural Language Processing Adoption in Data Science Teams: Cost–Benefit Analysis — Evidence from Latin America” using a time-series forecasting. Through a human-centered lens, the analysis integrates multi-source data to derive a validated measurement model for researchers and practitioners.

Download PDF Order Similar Paper Save

Natural Language Processing Adoption in Data Science Teams: Cost–Benefit Analysis — Evidence from Latin America

ABSTRACT
Natural Language Processing Adoption in Data Science Teams: Cost–Benefit Analysis — Evidence from Latin America is unpacked across themes: security, usability, equity, and KPIs. Limitations and future research paths are noted.
1
Open full preview
Related Papers
Browse all
14 Pages 4.4
Climate Policy for Agritech Startups: Change Management | A Comparative Perspective
Metaverse InsurTech AI
View Paper
15 Pages 4.4
Data Quality And Bias in Circular Economy for EU Startups: Post-Pandemic Lessons
Energy Cybersecurity RPA
View Paper
27 Pages 4.4
Social Media Marketing Adoption in Agritech Startups: Roi And Performance Metrics — Post-Pandemic Lessons
Cybersecurity Esports Cold Chain
View Paper