Normalized claim
Wimbledon data points captured annually: 2,700,000 count
IBM captures over 2.7 million Wimbledon data points.
All England Lawn Tennis Club (Wimbledon) - Match Chat and Likelihood to Win powered by watsonx
Use case typeConversational assistantsUpdated May 14, 2024
Wimbledon built fan-facing AI features in its official app and website, including Match Chat, Likelihood to Win, and Key Moments, while also using IBM tools to modernize content migration and digital operations. The project combines AI-powered fan engagement, explainable match insights, and large-scale content transformation on IBM technology.
- Organization
- All England Lawn Tennis Club
- Industry
- Other
- Location
- United Kingdom
- Published
- May 2024
Reported outcomes
16,000,000 count
digital fans reached in 2024Other quantified impact
2,700,000 countWimbledon data points captured annually15,000 countdigital assets migrated47 minutesasset migration time1,000,000 countfan interactions handled by Match Chat
Strategic outcomes
Customer experience & trustAdded real-time fan companion and contextual match insightsCustomer experience & trustImproved explainability of match-win predictionsInnovation & cultureCreated reusable migration frameworks for future modernizationRisk & complianceEstablished an AI operating model for future innovation and investment decisions
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Digital fans reached in 2024: 16,000,000 count
During The Championships 2024, Wimbledon reached approximately 16 million fans through their digital platforms.
Normalized claim
Digital assets migrated: 15,000 count
Approximately 15,000 assets were migrated in just 47 minutes with IBM Bob
Normalized claim
Asset migration time: 47 minutes
Approximately 15,000 assets were migrated in just 47 minutes with IBM Bob
Normalized claim
Fan interactions handled by Match Chat: 1,000,000 count
During Wimbledon 2025, the feature successfully handled millions of fan interactions
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- All England Lawn Tennis Club
- Provider
- IBM
- Maturity
- Scaled Production
- Linked source
- IBM case study
Created an AI-generated knowledge graph of content assets and used AI-driven workflows to translate legacy content structures into Adobe Experience Manager architecture at scale
Customer identity supportedSource describes one deploymentMaturity supported
Primary read
Use case focus
Showing 3 of 3
- 1Conversational assistants
- 2Real-time analytics
- 3Content migration
- Engage millions of fans via the official Wimbledon app and website.
- Provide real-time match context while modernizing and scaling the digital platform and migrating a large content archive.
- Built Match Chat to answer fan questions in natural language using live match data and historical performance.
- Added Likelihood to Win AI model that updates win probabilities throughout matches and introduced Key Moments to explain drivers of win-probability changes.
- Created an AI-generated knowledge graph of content assets and used AI-driven workflows to translate legacy content structures into Adobe Experience Manager architecture at scale.
- IBM captured 2.7M Wimbledon data points.
- Reached ~16M fans digitally during 2024.
- Migrated 15,000+ assets in 47 minutes, traditionally months.
- Match Chat handled millions of fan interactions during Wimbledon 2025, demonstrating reliability and scale.
Architecture
IBM used watsonx Orchestrate, watsonx Code Assistant, IBM Garage, Red Hat OpenShift, and an AI-generated knowledge graph to support Match Chat, Likelihood to Win, Key Moments, and large-scale content migration into Adobe Experience Manager.
Sources & evidence1
Evidence: Medium65/100Evidence strength
- Customer explicitly identified
- Deployment status explicitly supported
- Primary source available
- Quantified outcome available
- Technical implementation details available
Type: Case StudyPublished: May 14, 2024Publisher: IBMEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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