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Essay 4.6

Sustainability Outcomes in Natural Language Processing for Pharmaceutical Firms: Post-Pandemic Lessons

34
Pages
IEEE
Style
~ 36–51 mins
Reading Time
Leadership Open Banking Cold Chain
Abstract

This essay investigates “Sustainability Outcomes in Natural Language Processing for Pharmaceutical Firms: Post-Pandemic Lessons” using a agent-based simulation. Through a economic lens, the analysis integrates multi-source data to derive a practical decision framework for researchers and practitioners.

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Sustainability Outcomes in Natural Language Processing for Pharmaceutical Firms: Post-Pandemic Lessons

ABSTRACT
Sustainability Outcomes in Natural Language Processing for Pharmaceutical Firms: Post-Pandemic Lessons is unpacked across themes: KPIs, usability, benefits, and change enablement. Limitations and future research paths are noted.
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