DESIGNING HIGH-IMPACT MACHINE LEARNING PIPELINES FOR CROSS-DOMAIN APPLICATIONS: INSIGHTS FROM ECOMMERCE AND HEALTHCARE

Paper ID: EIJTEM_2024_11_4_94-103

Author's Name: Sabarna Choudhuri

Volume: 11

Issue: 4

Year: 2024

Page No: 94-103

Abstract:

In order to serve patients, medical professionals, societies, and other participants in a productive way, businesses are concentrating on carrying out the process by cutting down on waiting periods for work completion, lowering latency, and efficiently allocating resources in today's data and technology era. In order to achieve outstanding results and improve their edge over rivals, a number of businesses are using developing technology. The health care sector can now find trends in the data it collects, establish a key position, and increase earnings and revenues in a sustainable way thanks to advancements in machine learning, deep learning, analytics for business, etc. Artificial intelligence (AI) models are machine learning algorithms that gather, analyse, and present data for better decision-making by experts and leadership. Through the use of sophisticated machine learning, the company can efficiently scan images, detect voices and provide customer service, evaluate the data at hand, and spot trends to help with decision-making. Understanding the nature of developing and carrying out artificial intelligence tackles in the organisation and the efficacy of these tools to improve the long-term success of the company are the main goals of the study, which aims to analyse the general execution of novel machine learning gets closer regarding healthcare providers for the goal of providing improved offerings, better interaction with patients, and assistance in creating better lives for it. To accomplish this, the investigators are going to gather closed-ended questionnaires from workers in various medical centres.

Keywords: Artificial Intelligence, Machine Learning, Healthcare, Data Analytics, Decision-Making and Patient Care.

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