Impact of AI in the broadcast and digital media industry, 2018


DUBLIN, July 17, 2018 / PRNewswire / –

The report “Artificial Intelligence-led Disruptions Powering the Future of Media” has been added to offer.

The impact of digitization ‘in the media space is likely to put more than half a trillion dollars at stake, according to industry estimates. The digital paradigm in the media industry is expected to restructure the entire business model. In the digital age, the user experience has evolved from content focused on on-demand delivery, delivered in a device of the consumer choice. In the coming years, the focus will likely be on the intersection of content, technology and user experience. A number of emerging technologies are disrupting existing business models within the media industry and providing new opportunities, which traditional businesses are only beginning to recognize.

Artificial intelligence (AI) is increasingly being used to transform the way media houses create content and present it to viewers. AI, due to its data-driven intelligence and self-learning capabilities, can be used to automate repetitive skill-based tasks. Additionally, AI can fuel the development of superior prediction engines that deliver cutting-edge analytics and business intelligence to media companies around the world.

In summary, this search service covers the following points:

  • Artificial Intelligence – Review and Analysis of Technology
  • AI in the Media Industry – An Overview
  • Regional adoption trends and companies to watch
  • Best practices: R&D, government initiatives and funding trends
  • How is AI transforming user experience in the media industry?
  • Future perspectives and recommendations

Main topics covered:

1. Summary
1.1 Scope of the research
1.2 Research methodology
1.3 Research methodology explained
1.4 Main findings

2. Artificial intelligence: technology review and analysis
2.1 What AI sub-technologies are brewing?
2.2 IA – Technological value chain
2.3 Database providers are essential contributors to the value chain
2.4 Growing Demand for Automation Drives Business Adoption
2.5 Lack of domain experts to train and maintain AI systems hampers adoption
2.6 AI enables precise predictions and recommendations based on pattern recognition and advanced analysis capabilities
2.7 AI brings cognitive skills to transform traditional robots into intelligent robots
2.8 More $ 15 billion AI funding in 2017
2.9 AI patent publication rate is steadily increasing every year
2.10 Global AI Market Expected To Grow At A Constant CAGR Of Over 31% Through 2022
2.11 AI helps improve business performance across the industry value chain
2.12 AI-powered innovations impacting almost every industry
2.13 Growing adoption of AI in Asia will be a key factor in market growth

3. AI in the Media Industry – An Overview
3.1 AI should transform the creation and delivery of content
3.2 Impact of AI on various stakeholders
3.2 Impact of AI on various stakeholders (continued)
3.3 Where is AI widely used in the media?
3.4 Monetization of media content using AI
3.5 AI is envisioned for precision targeting and enabling automated interactions with audiences
3.6 Beyond automated content generation to content creation

4. Regional adoption trends
4.1 Regional adoption trends: North America
4.2 Regional adoption trends: Europe
4.3 Regional adoption trends: APAC

5. Best practices: R&D, government initiatives and funding trends
5.1 Best practices: North America & Europe
5.2 Best practices: APAC and Middle East
5.3 Government initiatives: North America & Europe
5.4 Government initiatives: ICCA and Middle East
5.5 Developed countries have deployed large AI budgets to drive innovation

6. Companies to watch
6.1 Companies emerge along the value chain with diversified products
6.2 Companies to watch: other key players
6.3 Comparison of AI capabilities between cloud service providers

7. How is AI transforming user experience in the media industry? Examples of use cases
7.1 Creating Custom Video Highlights Using a Cognitive Solution
7.1 Creating Custom Video Highlights Using Cognitive Solution (continued)
7.2 Using artificial intelligence to create a movie trailer
7.3 Automated news generation using a natural language platform
7.4 Intelligent media management using AI
7.5 Optimizing streaming performance between CDN providers
7.6 Streaming High Quality Video Over Slow Internet Speeds Using AI
7.7 Cleanup of extremist content using AI
7.8 Combating buffering and video quality using an AI prototype
7.9 Using AI for Audience Information to Create Highly Relevant Content

8. Outlook and future recommendations
8.1 How will AI efforts evolve in the future?
8.2 Will human creativity be replaced by AI?
8.3 Technological convergence and roadmap
8.4 Technological convergence will create significant opportunities to reduce costs, reduce human labor and also to eradicate piracy
8.5 Strategic recommendations to media stakeholders

9. Key contacts

10. Annex
10.1 Impact of applications in all industry sectors – Assessment approach

For more information on this report, visit

Media contact:

Research and markets
Laura Wood, senior
[email protected]

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SOURCE Research and Markets

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