Migrating HRL's Sports Streaming Service with Managed AI and ML
Question
Helicopter Racing League (HRL) is a global sports league for competitive helicopter racing.
Each year HRL holds the world championship and several regional league competitions where teams compete to earn a spot in the world championship.
HRL offers a paid service to stream the races all over the world with live telemetry and predictions throughout each race.
Solution concept - HRL wants to migrate their existing service to a new platform to expand their use of managed AI and ML services to facilitate race predictions.
Additionally, as new fans engage with the sport, particularly in emerging regions, they want to move the serving of their content, both real-time and recorded, closer to their users.
Existing technical environment - HRL is a public cloud-first company; the core of their mission-critical applications runs on their current public cloud provider.
Video recording and editing is performed at the race tracks, and the content is encoded and transcoded, where needed, in the cloud.
Enterprise-grade connectivity and local compute is provided by truck-mounted mobile data centers.
Their race prediction services are hosted exclusively on their existing public cloud provider.
Their existing technical environment is as follows:Existing content is stored in an object storage service on their existing public cloud provider.Video encoding and transcoding is performed on VMs created for each job.Race predictions are performed using TensorFlow running on VMs in the current public cloud provider.
Business requirements - HRL's owners want to expand their predictive capabilities and reduce latency for their viewers in emerging markets.
Their requirements are:Support ability to expose the predictive models to partners.Increase predictive capabilities during and before races: -‹ Race results -‹ Mechanical failures -‹ Crowd sentimentIncrease telemetry and create additional insights.Measure fan engagement with new predictions.Enhance global availability and quality of the broadcasts.Increase the number of concurrent viewers.Minimize operational complexity.Ensure compliance with regulations.Create a merchandising revenue stream.
Technical requirements -Maintain or increase prediction throughput and accuracy.Reduce viewer latency.Increase transcoding performance.Create real-time analytics of viewer consumption patterns and engagement.Create a data mart to enable processing of large volumes of race data.
Executive statement -
Answers
Explanations
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https://cloud.google.com/ai-platform/prediction/docs/ai-explanations/preparing-metadataBased on the requirements and technical environment described, the recommended solution for Helicopter Racing League (HRL) to migrate their existing service to a new platform would be to use Google Cloud's operations suite.
Google Cloud's operations suite provides several benefits that align with HRL's business and technical requirements:
Support ability to expose the predictive models to partners - Operations suite provides access to a wide range of APIs and integrations that can be used to expose predictive models to partners.
Increase predictive capabilities during and before races - Operations suite provides AI and ML capabilities that can be used to enhance predictive capabilities, such as anomaly detection and trend analysis. These capabilities can be used to predict race results, mechanical failures, and crowd sentiment.
Increase telemetry and create additional insights - Operations suite provides monitoring and logging tools that can be used to capture telemetry data and create additional insights. This can help improve the quality of the broadcasts and increase viewer engagement.
Enhance global availability and quality of the broadcasts - Operations suite provides a global network of data centers that can be used to serve content closer to users, reducing latency and improving the quality of the broadcasts.
Increase the number of concurrent viewers - Operations suite provides scalable infrastructure that can handle large volumes of traffic, enabling HRL to increase the number of concurrent viewers.
Minimize operational complexity - Operations suite provides a single pane of glass for managing and monitoring cloud resources, reducing operational complexity and improving efficiency.
Ensure compliance with regulations - Operations suite provides tools for monitoring and enforcing compliance with regulatory requirements, such as GDPR and HIPAA.
Create a merchandising revenue stream - Operations suite provides integrations with e-commerce platforms that can be used to create a merchandising revenue stream.
In addition to these benefits, operations suite also provides tools for real-time analytics, which can be used to create data marts for processing large volumes of race data. The real-time analytics capabilities can also be used to create analytics of viewer consumption patterns and engagement, which can help HRL make data-driven decisions to improve the quality of their broadcasts and increase viewer engagement.
Therefore, the recommended solution for HRL to migrate their existing service to a new platform would be to use Google Cloud's operations suite.
