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27 - 29 May 2025
Singapore Expo
AI Revolution in Broadcasting

Introduction and Panelist Backgrounds

The session brought together a panel of experts from the broadcasting and technology sectors, including executives from the Cambodian Broadcasting Service, Arista Networks, Mediacorp, and Harmonic. Each panelist brought a wealth of experience in broadcasting, artificial intelligence (AI), technology, and business transformation, providing a diverse range of insights into how AI is shaping the media landscape.

AI as an Opportunity or Threat

The discussion began with an exploration of whether AI should be viewed as an opportunity or a threat to the broadcasting industry. While acknowledging the disruptive potential of AI, most panelists saw it as a valuable opportunity for the sector. They highlighted how AI can improve operational efficiency, enable innovative services, and enhance user engagement. The consensus was that, despite its challenges, AI is a technological reality that media companies must embrace to remain competitive in a rapidly evolving industry.

Leveraging AI for Adaptation and Survival

The panelists shared their strategies for integrating AI into their operations as a way of staying relevant in the fast-changing broadcasting landscape. Key tactics included employee training, fostering partnerships, and embedding AI across departments to streamline workflows and improve adaptability. They acknowledged that while AI offers significant advantages, adapting to the technology can be particularly challenging for those with extensive experience in traditional broadcasting methods. Nonetheless, staying ahead of AI developments is seen as essential for survival in the competitive media environment.

Ethical Considerations in AI-Powered Content Creation

A key segment of the discussion focused on the ethical implications of using AI in content creation. The panelists expressed concerns about issues such as respecting copyrights, ensuring the accuracy of AI-generated content, and maintaining transparency by disclosing when AI has been used in content production. The consensus was that establishing clear governance policies and ethical frameworks is essential to ensure responsible AI usage. These measures are necessary to build trust with audiences and maintain the credibility of media organizations.

AI in Network Management and Content Personalization

The role of AI in improving network management and content personalization was another focal point of the discussion. The panelists described how AI can optimize network performance, enhance resilience, and predict user behavior, resulting in more reliable and efficient broadcasting operations. Additionally, AI enables highly personalized content delivery by analyzing user preferences and generating tailored recommendations. This not only improves the viewing experience but also opens up new opportunities for broadcasters to engage with their audiences in a more meaningful way.

The Future of AI in Broadcasting

In their concluding remarks, the panelists offered their visions for the future of AI in broadcasting. They highlighted the potential for AI to drive hyper-personalization, automate content creation, and create more immersive viewing experiences. While AI will undoubtedly continue to transform the industry, the panelists encouraged broadcasters to view AI as a tool that can enhance creativity, productivity, and audience engagement, rather than a replacement for human ingenuity.

Conclusion

The session underscored AI’s transformative impact on the broadcasting industry, offering both opportunities and challenges. By embracing AI responsibly and addressing ethical concerns, broadcasters can leverage the technology to drive innovation, improve efficiency, and deliver more engaging and personalized content to audiences. The future of broadcasting, as envisioned by the panelists, will be shaped by those who adapt and use AI to enhance the creative and operational aspects of the media industry.

Watch the full session here

Movie production
Tech. technology
artificial intelligence

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