Integrating the AI-Driven Technologies Into Pharmaceutical Service Marketing

Author:

Singh Kumkum1ORCID,Singh Saurabh2ORCID,Wadhwa Sheetu1,Baghel Dileep Singh1

Affiliation:

1. School of Pharmaceutical Sciences, India

2. Lovely Professional University, India

Abstract

The next wave of corporate disruption in the pharmaceutical industry has been greatly influenced by the digital transformation sparked by artificial intelligence's (AI) growing leverage. Predictive analytics, molecular modelling, and virtual screening made possible by AI are transforming the drug discovery process. The use of AI-driven technology in pharmaceutical service marketing is completely changing the pharmaceutical sector by boosting customer interaction, streamlining marketing tactics, and boosting operational efficiency. Through machine learning algorithms that customise messages and services, as well as predictive analytics that predicts consumer demands and behaviours, artificial intelligence (AI) makes personalised marketing possible. Chatbots and virtual assistants, which offer real-time customer service and increase accessibility, are powered by natural language processing, or NLP. AI also speeds up research timelines, analyses large databases, and spots possible market trends to help in medication discovery and development. Consistent and efficient communication is ensured by the use of AI in automated content creation and consumer sentiment analysis. To fully utilise AI, despite its many advantages, issues including data protection, integration difficulty, and ethical considerations need to be resolved.

Publisher

IGI Global

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3