What challenges did World Surf League face before AI implementation?

Competitive surfing events take place in the ocean with variable conditions, limited connectivity, and no controlled environment. Data was fragmented across physical archives and multiple digital sources, making it difficult to correlate and analyze performance in real time. WSL needed a way to provide commentators and fans with data-driven insights without disrupting the sport's culture.

What was the impact of the AI solution?

Commentators receive insights within a couple of seconds. Fans get richer, data-enhanced surfing coverage. Surfers can analyze biometric and wave-selection patterns to improve performance. The system scales to roughly 100,000 waves per season and approximately 30 data points per wave.

Source

World Surf League: Generative AI analytics for real-time surfing insights

Use case typeGrowth analyticsUpdated Jun 13, 2026

World Surf League (WSL) built a first-of-its-kind data platform with AWS and generative AI to deliver near-real-time analytics for surfing competitions. The platform combines real-time wearable telemetry from Apple Watches with wave data, weather conditions, judging data, and historical records so commentators can ask natural-language questions and get grounded answers within seconds.

Organization: World Surf League
Industry: Other
Location: United States
Published: May 2026

Reported outcomes

Strategic outcomes

New product / capabilityBuilt a real-time surfing analytics platformCustomer experience & trustDelivered richer data-enhanced fan coverageBetter decisions & insightEnabled performance analysis from unified dataScale & capacityScaled analytics across massive event data

Primary read

Use case focus

Showing 3 of 3

1Sports analytics
2Real-time analytics
3Generative AI analytics

Competitive surfing events take place in the ocean with variable conditions, limited connectivity, and no controlled environment.
Data was fragmented across physical archives and multiple digital sources, making it difficult to correlate and analyze performance in real time.
WSL needed a way to provide commentators and fans with data-driven insights without disrupting the sport's culture.

WSL ingests high-frequency telemetry from Apple Watches into AWS, processes log files and streaming data, and stores analytics data in cloud services including Amazon S3, Amazon Kinesis, AWS Glue, Amazon Redshift, and Amazon Bedrock.
The system consolidates wearable, judging, wave, and weather data into a unified warehouse and uses natural-language querying to enable commentators to ask questions like 'What was the fastest wave speed today?'
The platform is designed for near-real-time retrieval and storytelling at live surf events.

Technologies

Amazon Bedrock Amazon S3 Amazon Kinesis AWS Glue Amazon Redshift

Commentators receive insights within a couple of seconds.
Fans get richer, data-enhanced surfing coverage.
Surfers can analyze biometric and wave-selection patterns to improve performance.
The system scales to roughly 100,000 waves per season and approximately 30 data points per wave.

Architecture

Audio/video/streaming sports analytics platform ingesting Apple Watch telemetry and event data into AWS; log files and streams are processed with AWS Glue and Amazon Kinesis, stored in Amazon S3 and Amazon Redshift, and queried with Amazon Bedrock for natural-language insights.

Implementation partners1

AllCloud

Sources & evidence1

Groundedness: 4/5Type: Case StudyPublished: May 27, 2026Publisher: AWSEvidence: PrimaryConfidence: High

Primary source

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