Artificial Intelligence in Product Management |
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| © 2024 by IJCTT Journal | ||
| Volume-72 Issue-6 |
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| Year of Publication : 2024 | ||
| Authors : Prashant Mahajan | ||
| DOI : 10.14445/22312803/IJCTT-V72I6P112 | ||
How to Cite?
Prashant Mahajan, "Artificial Intelligence in Product Management," International Journal of Computer Trends and Technology, vol. 72, no. 6, pp. 84-93, 2024. Crossref, https://doi.org/10.14445/22312803/IJCTT-V72I6P112
Abstract
Artificial intelligence is transforming product management through better decision-making, optimized workflows, and advanced product development. This study, therefore, takes it upon itself to elaborate on the impact of AI on strategic decisionmaking, user engagement, the design process, and sound ethical practices in managing products. It is through detailed analyses with case studies of big companies like Amazon and Google that the capability of AI-driven technologies in streamlining operations, spurring innovation, and developing products will be illustrated. The study continues to discuss how AI integrates with new technologies, including augmented reality and blockchain, thereby demonstrating the potential to be used in an integrated way that transforms practices related to product management. Large parts of our research focus on the ethical dimension of AI, touching on the most important aspects like bias and transparency. The actionable frameworks for the responsible application of AI ensure that it makes a positive contribution to the industry. Our results discovered some unique strategies and tools through which product managers and their companies could take advantage of Asetng’s new industry standards and improve customer value. Though more than just demonstrations of AI’s practical applications, these case studies illustrate how it has served to drive many industry advances.
Keywords
Artificial Intelligence, Product management, Innovation, Machine learning, Companies.
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