International journal of advanced smart convergence

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
권호 표지
DOI QR코드

DOI QR Code

A Study on Artificial Intelligence Based Business Models of Media Firms

  • Song, Minzheong (Dept. of Media and Communication Arts, Hansei University, Hansei University)
  • Received : 2019.03.24
  • Accepted : 2019.04.05
  • Published : 2019.06.30
Download PDF
⟨ Previous Next ⟩

Abstract

The aim of this study is to develop Artificial Intelligence (AI) based business models of media firms. We define AI and discuss 'AI activity model'. The practices of the efficiency model are home equipment-based personalization and media content recommendation. The practices of the expert model are media content commissioning, content rights negotiation, copyright infringement, and promotion. The practices of the effectiveness model are photo & video auto-tagging and auto subtitling & simultaneous translation. The practices of the innovation model are content script creation and metadata management. The related use cases from 2012 to 2017 are introduced along the four activity models of AI. In conclusion, we propose for media companies to fully utilize the AI for transforming from traditional to successful digital media firms.

Keywords

OTNBCL_2019_v8n2_56_f0001.png 이미지

Figure 1. Tasks and solutions of the AI activity model

Table 1. Key summary of the result and use cases

OTNBCL_2019_v8n2_56_t0001.png 이미지

References

  1. Moon, J.H., "Platform revolution," Mirae Asset report, April 5, 2017
  2. OVUM, "Microsoft's AI Strategy: Capabilities and Impact on Consumer Service," April 13, 2017.
  3. OVUM, "Machine Learning in Business Use Cases," April 2015.
  4. Accenture, "Turning Artificial Intelligence into business value," 2016.
  5. OVUM, "2018 Trends to Watch! AI Home Assistants," September 7, 2017.
  6. OVUM, "Act on Your Intelligence: An AI Roadmap for Service Providers," July 4, 2017.
  7. OVUM, "CEM: European service providers' self-care app strategies move toward AI," September 9, 2017.
  8. Jeong, Y., "Evolution of search: Voice-activated AI," Mirae Asset report, November 17, 2016.
  9. Korean Communication Agency (KCA), "Use cases of Artificial Intelligence based broadcasting industry," KCA Media Issue & Trend, Vol. 3, Oct. 2017
  10. Apple Insider, "Netflix encoding tool aims to retain video quality on slow 100kbps iPhone mobile data connections," March 1, 2017.
  11. IBC, "Netflix and IBM are leading the charge on artificial intelligence in media," April 18, 2017.
  12. KCA, "The case of ZoneTV real time pay TV and AI integration," Trend report, February 2, 2017.
  13. OVUM, "AI in Digital Media," March 20, 2017.
  14. Irdeto, "The role of AI in content protection," September 17, 2017.
  15. Ofcom, "As Hollywood taps into AI, what would you build with IBM Watson?" April 24, 2017.
  16. Amazon Web Service, "AI for Media & Entertainment," August 15, 2017.
  17. Goldman, J., "Google's DeepMind AI binges on TV to master lipreading," CNET. Retrieved from https://www.cnet.com/news/google-deepmind-looks-at-a-lot-of-tv-becomes-better-lipreader-than-expert/ November 23, 2016.
  18. Marshall, A., "From Jingles to Pop Hits, AI. Is Music to Some Ears," The New York Times. Retrieved from https://www.nytimes.com/2017/01/22/arts/music/jukedeck-artificial-intelligence-songwriting.html?_r=0, January 22, 2017.
  19. Marr, B., "Grammy-Nominee Alex Da Kid Creates Hit Record Using Machine Learning," Forbes. Retrieved from http://www.forbes.com/sites/bernardmarr/2017/01/30/grammy-nominee-alex-da-kid-creates-hit-record-usingmachine-learning/#7d8f133b70ed, January 30, 2017.
  20. IBC, "IBC 2017 round-up: Halls 1, 4 and 5," September 22, 2017.
  21. Multichannel, "How AI can make TV's future brighter," August 21, 2017.