Integration of AI-powered predictive Analytics in S/4 HANA FICO for Pharmaceutical Financial Planning

Authors

  • Puneet Agrawal Author

Keywords:

Artificial Intelligence (AI), automation, Machine learning (ML), S/4 HANA FICO, pharmacy, algorithm, profitability, financial operations, drug design, Return of Investment (ROI)

Abstract

The research has focussed on the impact of transformation by incorporating AI in different financial services of pharmacy, towards giving a major focus on innovative approaches, meeting the customer demand as per their health concern. Secondary qualitative and quantitative data have been collected for analysing and exploring the study. Different sets of data reveal the optimisation of AI by increasing their source of profit and providing personalised solutions. The findings of the study show an investment of $35 billion for incorporating AI in designing drugs and highlighting the overall potential and challenges respectively. The recommendation has highlighted the ethical aspects of AI implementation, regulatory compliance, and other collaboration globally.

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Published

20-03-2021

How to Cite

Integration of AI-powered predictive Analytics in S/4 HANA FICO for Pharmaceutical Financial Planning. (2021). International Journal of Marketing Management, 9(1), 7-17. https://ijmm.in/index.php/ijmm/article/view/236