Brand Master Academy. (2024). Branding & marketing in the age of AI with Seth Godin. YouTube.
This media source addresses how branding and marketing are currently evolving amid the rapid spread of artificial intelligence. This video deals in detail with such aspects of business as branding and marketing, which can be significantly improved using natural intelligence algorithms, including data analysis. In addition, the speakers in this video address phenomena such as positioning, permission marketing, and strategies that companies can use most productively.
A separate part of the discussion is devoted to the use of innovative technologies in organizational activities. This source is useful for my reflection, as it primarily provides an opportunity to understand the current state of marketing in the modern market. Moreover, it also emphasizes that artificial intelligence is often a substitute for competence and that companies must integrate its algorithms in such a way as to focus human resources on more important tasks.
Gilmartin, R. (2022). 5 AI-driven use cases for big data in media & entertainment. Symphony AI.
The following media source provides information on how artificial intelligence can be an effective tool for working with big data in the media and entertainment industry. It has value because it focuses on the complexities and opportunities that this technology provides. Thus, one of the advantages is the ability to productively analyze audience, financial, and content data (Gilmartin, 2022).
On the other hand, challenges such as the difficulty of integrating various data warehouses and the lack of a standardized format are highlighted. This information is useful for my reflection as it provides arguments for and against using artificial intelligence to work with big data. In addition, it describes AI-driven big data use cases in the media industry, which will serve as an example to justify the effectiveness of innovation. The source highlights how utilizing artificial intelligence for big data can improve the quality of insights, enhance operational efficiency, drive revenue growth, maximize the value of data, and unlock hidden opportunities.
Smith, A. (2020). Using artificial intelligence and algorithms. Federal Trade Commission.
The online article on the Federal Trade Commission website focuses on how to properly introduce innovation into companies’ operations to mitigate potential legislative issues. This aspect is important because, when working with real data, organizations gain access to consumers’ personal information, which puts individuals at specific risk. The author points out that the use of “AI tools should be transparent, understandable, fair, and empirically sound, while fostering accountability” (Smith, 2020, para. 4). This source can be integrated into my analysis as it speaks about the necessary measures that must be followed when integrating artificial intelligence. In addition, it highlights both the social implications of data-driven use of technology.
Lin, P. (2022). The role of big data in AI-powered marketing. Marketing Artificial Intelligence Institute.
This media source addresses the nature of big data and how it can be used to create the most effective marketing strategy. It looks in detail at big data analytics, how it is collected, and how it can be integrated to deliver the products and services the public desires. It is useful for my analysis as it provides a more complete understanding of the phenomenon under study and focuses on the benefits that it will bring to companies. Among them, improved engagement, campaign optimization, and future prediction are highlighted (Lin, 2022). In addition, it has a strong visual component, which makes perceiving information simpler and more impactful.