Artificial intelligence (AI) technology is revolutionizing the video streaming industry, enabling service providers to enhance video quality, reduce piracy, create rich metadata, personalize content, and more.
Let’s explore the fundamental role of AI in video streaming and its impact on the industry.
What is Artificial Intelligence (AI)?
AI refers to machines and systems that perform tasks requiring human intelligence. It uses machine learning (ML) to model or improve upon human capabilities. AI ingests labeled training data, analyzes correlations and patterns, and makes predictions about future states.
AI vs ML
AI and ML are often used interchangeably, but they are different concepts. ML is a subset of AI.
- AI: Simulates how humans think to perform complex tasks.
- ML: Uses data-trained algorithms to produce models for complex tasks.
Evolution of AI
AI has rapidly evolved over the years. From deep-learning algorithms to generative AI models like OpenAI GPT and Bard by Google, advancements have transformed the landscape.
Generative AI: A New Era
Generative AI can generate text, images, audio, and video by predicting the next word or pixel. It relies on Large Language Models (LLMs) characterized by emergent abilities such as understanding human languages.
Impact of AI on the Video Industry
- Localization: Speeds up capturing, translating subtitles & social media posts.
- Piracy Prevention: Quickly identifies pirated streams & watermarks content.
- Video Quality Improvement: Automatically adjusts encoding settings based on content type.
- Auto-Analysis: Streamlines content analysis for generating metadata & descriptions.
- Personalization: Identifies patterns for better content recommendations.
Approaches to Optimize Video Workflows Using AI
- Content-Aware Encoding: Understands streamed content & optimizes bitrate and latency.
- Automated Scheduling: Creates schedules quickly for thematic channels from VOD libraries.
- Programmed Clip Extraction: Automatically creates engaging highlights from live sports streaming.
- Automated VOD Asset Segmentation: Easily segments VOD assets with ad inventory placement.
- Dynamic Brand Insertion (DBI): Enables targeted advertising at massive scale with frame accuracy.
Conclusion
In conclusion, implementing recent advancements like content-aware encoding and dynamic brand insertion can elevate your video streaming service to boost viewer engagement and monetization through the use of generative AI technology.
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