Role of Artificial Intelligence in Product Marketing Pro-cess and Future Perspective
Contributors
Rakesh Kumar
Kittisak WONGMAHESAK
Keywords
Proceeding
Track
Humanities and Management
License
Copyright (c) 2026 Sustainable Global Societies Initiative

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Abstract
Among these are the following: emotion, judgment-making, design, data, estimate, prediction, method, train, study, use, learn, model, explanation, variance, interpret, decision, show, what happens, control, and system. The goal of this study is to analyse the data and use it in the most prominent way possible. Use, learn, model, data, approach, predict, behaviour, task, execute, base, demonstrate, infer, visualise, propose, optimise, object, general, explain, and network. The goal of this study is to define an explainable system with three essential characteristics for future research: systems that do not allow users to access insights that explain the algorithmic mechanism at work; systems that allow users to access the mathematical algorithmic mechanism; and systems that allow users to access helpful symbols.