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Natural Language Processing Adoption in Pharmaceutical Firms: Scaling And Replication — A time-series forecasting

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DevSecOps Supply Chain AI
Abstract

This report investigates “Natural Language Processing Adoption in Pharmaceutical Firms: Scaling And Replication — A time-series forecasting” using a mixed-methods case study. Through a institutional lens, the analysis integrates multi-source data to derive a stakeholder-aligned blueprint for researchers and practitioners.

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Natural Language Processing Adoption in Pharmaceutical Firms: Scaling And Replication — A time-series forecasting

ABSTRACT
Natural Language Processing Adoption in Pharmaceutical Firms: Scaling And Replication — A time-series forecasting is unpacked across themes: costs, usability, interoperability, and benefits. Limitations and future research paths are noted.
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