Akta, a digital video platform provider, has teamed up with Google Cloud to offer advanced AI-enabled live streaming and scheduling functions. By leveraging Google Cloud's infrastructure and Media CDN, users can expect a seamless streaming experience for Akta's FAST Channels as well as Sports and News Live streaming, while taking advantage of Akta's expertise and Google Cloud's strong content delivery network.



Thanks to Akta's AI models, high-quality video streaming with proactive monitoring and predictive failure detection is now possible. Akta's real-time AI technology not only extrudes contextual metadata from live streams, including spoken text, but also analyses video quality and predicts the probability of failures proactively. Chairman of Akta, Alper Turgut, says that AI excels in preventing errors before they happen by examining streaming data.

The AI-enabled streaming powered by Akta Video Platform will be launched on Google Cloud's Media CDN, a content delivery network for live and on-demand streaming for Google Cloud users. Content creators can leverage Akta's FAST Channel Scheduling, Sports and News Live streaming, and advanced tools to create and deliver their content with AI integration.

According to Kip Schauer, Global Head of Media and Entertainment Partnerships at Google Cloud, the partnership between Akta and Google Cloud offers users an enhanced experience through AI-enabled live streaming, scheduling, creation, monitoring, and monetization. Plus, AI-powered stream healing automation, such as encoding failover and stream routing, will make streaming more reliable and efficient.

This collaboration between Akta and Google Cloud marks a significant milestone in the streaming industry, bringing new innovations in AI-based live streaming and scheduling that are expected to emerge in the future.

The key focus of this partnership is to integrate Google Cloud's advanced AI and machine learning capabilities into Akta's live streaming platform. This integration aims to revolutionize the live streaming experience by addressing several critical aspects:

1. Real-time content moderation:
  - Akta is leveraging Google Cloud's computer vision and natural language processing models to enable real-time analysis of live video and audio content.
  - This allows the platform to automatically detect and flag potentially inappropriate or harmful content, such as profanity, violence, or hate speech.
  - The AI-powered moderation system can instantly trigger alerts or take immediate action to protect viewers and ensure a safe viewing experience.

2. Intelligent content recommendations:
  - By tapping into Google Cloud's machine learning capabilities, Akta can now provide personalized content recommendations to viewers.
  - The AI models analyze viewer preferences, engagement patterns, and contextual data to suggest relevant live streams, similar to how YouTube or Netflix provide personalized recommendations.
  - This feature can help improve content discovery, increase viewer engagement, and drive higher viewership for content creators.

3. Viewer analytics and insights:
  - The integration of Google Cloud AI enables Akta to gather deep insights into viewer behavior and preferences during live streams.
  - The platform can analyze factors such as viewer engagement, sentiment, attention spans, and drop-off rates to provide content creators with valuable feedback and data-driven insights.
  - This information can help creators optimize their content, identify areas for improvement, and make more informed decisions about their live streaming strategy.

From a web developer's perspective, this collaboration involves a significant technical integration effort. Some of the key tasks and challenges include:

- Seamless integration of Google Cloud AI services (e.g., Video Intelligence API, Natural Language API) into Akta's backend infrastructure.
- Designing scalable and fault-tolerant architectures to handle the high-volume, real-time nature of live streaming data processing.
- Developing robust event-driven workflows and trigger mechanisms to enable real-time content moderation and personalized recommendations.
- Ensuring secure data handling and compliance with relevant privacy regulations.
- Building intuitive user interfaces and dashboards to surface the AI-powered insights and features to both viewers and content creators.
- Optimizing performance and responsiveness for a seamless live streaming experience, even with the added AI processing.