PAPER ID:IJIM/Vol. 10 (II)/ /June/22-30/5

AUTHOR: Anil Kumar^[I]  Prof. Manoj Dayal^[II] 

TITLE : ARTIFICIAL INTELLIGENCE AND THE NEXT ERA OF BUSINESS JOURNALISM

ABSTRACT: Artificial intelligence (AI) has disrupted business news. This paper will explore the multiple ways AI is changing business journalism, the preponderance of potential for AI to offer up better efficiency, accuracy, and personalization for business journalists, as well as talk about potential issues or challenges that AI presents regarding ethical, as well as practical, challenges.  When considering that the media industry is changing dramatically with machine data, AI-related operations, including natural language processing (NLP), machine learning (ML), and auto-generation of content, are fundamentally changing old journalistic practices. After looking at the number of ways AI is used today in business journalism, such as auto-based reporting, data automation, and predictive analytics, I will give as examples (research will include the use of local and global business news data), that is auto-reporting AI systems, allow people to extract data from structured data sources then report on that information as quick as possible, in this case financial releases and market shifts. There is still some time for personal input in the production of business news, nonetheless, the process of distributing news is faster, as well as human error is mitigated, and the audience receives accurate information. Moreover, AI based reporting data analysis allows reporters, including student reporters, to move beyond storytelling and discover patterns and insights that would otherwise go unreported. AI in journalism has also taken the shape of predictive analytics, which means reporters can predict the future

KEYWORDS : Artificial Intelligence, Journalism, Innovation, Business News, Data Analysis, Ethical Considerations.

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