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Artificial intelligence (AI) is revolutionizing the media & entertainment industry by introducing diverse innovation models that are reshaping how content is created, consumed, and marketed. AI-powered technologies, such as deep learning and computer vision, are already being leveraged to create stunning visual effects and promotional materials for movies, TV shows, video games, and more!

For OTT content providers and broadcasters, this presents exciting opportunities to transform and enhance the customer experience — so long as they have the right architectural foundation. OTT providers that are built on cloud-native, open architected platforms are poised to quickly apply AI models at every stage of the viewer’s journey, such as:

  • Enhanced content discovery: Consumers can effectively find the most relevant content listings through enhanced search and metadata capabilities — thanks to understanding user behaviors and leveraging external data sources.
  • Personalized content suggestions: AI algorithms can analyze user preferences and viewing patterns to offer personalized content upfront and to augment the user experience and engagement.
  • Drive user commitment and loyalty: AI enables situational customization of content, allowing for personalized packaging and transmission of media. This enhances the viewer’s experience by tailoring content to their preferences, location, and behavior.
  • Accelerate time to market in new geographic regions: AI can rapidly translate closed captions and subtitles into multiple languages, pushing programming into new markets more quickly and seamlessly in real-time through geo locators.
  • Grow reach and optimize the acquisition funnel: AI can help marketers find audiences filtered by additional criteria, such as user entitlement and other configurable business rules. This offers new avenues for acquisition and monetization.

Generative AI is reshaping the marketplace, but this transformation is only feasible with the right platform architecture in place. An architecture that is open and flexible enough to breathe life into these innovations is essential for Gen AI; it is the necessary infrastructure required to develop, deploy, and scale AI solutions effectively and efficiently — while delivering superior performance and user experiences.

Quickplay’s core platform design principles unlock the door to implementing cutting-edge innovations. Our architecture promotes an ongoing cycle of innovation that prioritizes openness, adaptability, and extensibility, making the most of Google Cloud API-driven marketplaces and ecosystems.

Architecture matters when it comes to deploying Gen AI. Our five core design principles have uniquely enabled us to seamlessly integrate into the Google Cloud ecosystem, enabling developers to incorporate Gen AI models and other emerging technologies into their streaming services:

  1. Open architecture: Harness flexibility and extensibility to customize your platform solution by plugging into API driven and Generative AI marketplaces, such as Google Cloud Vertex model garden.
  2. Modular workflow: Maximize flexibility and extensibility through modularity, leveraging distinct, self-contained, and interchangeable components enhanced by Generative AI use cases across the value chain available in the Google Cloud marketplace.
  3. End to end orchestration: Achieve efficient, reliable, and adaptable workflows from ingestion to experience. Drive business success with a unified AI and data strategy by leveraging end-to-end orchestration.
  4. Single tenancy: Benefit from a single instance with a multi-brand, multi-business model approach. A single backend can deploy various Gen AI use cases specific to the needs of your multi-brands with a time to market advantage while owning your roadmap.
  5. Cloud native design: Re-design software and architecture for cloud infrastructure and scale. Leverage the best of Google Cloud computing to run applications such as Generative AI Vertex models more efficiently, dynamically, and resiliently.

To demonstrate the ability of generative AI, Quickplay developed a new feature to enhance the ever challenging discovery process for viewers. The Quickplay Media Companion, powered by Generative AI, is an intelligent software assistant designed to enhance your entertainment experience. The Media Companion has three core capabilities:

  1. Conversational assistant that you can ask to help you find movies, explore genres, and receive detailed information about films and actors.
  2. Personalized recommendations based on situational information such as location, weather, upcoming holidays, viewing history, etc.
  3. A personality quiz to provide content based on predefined personas.

The Media Companion leverages Quickplay’s open architecture to plug into foundational LLM models in the Google Model Garden to instantly gain its Gen AI capabilities.

Harness the advantages of Quickplay on Google Cloud as you unleash the power of Generative AI. Speed up time to market, broaden reach using pre-trained models, and achieve efficiency without the need for initial data training. Enhance your features and capabilities effortlessly to align with your specific business goals, minimizing reliance on extensive custom development. Conduct A/B testing against various customer engagement KPIs to optimize your customer journey. With Quickplay on Google Cloud, you can leap into the AI future of streaming media — today.

Learn more at https://quickplay.com/generative-ai/

Naveen Narayanan