Normalized claim
Content assets extracted: 15,000 assets increase
"with the targeted 15,000 assets extracted in just 47 minutes"
Wimbledon AI fan features using watsonx Orchestrate and IBM Bob
Use case typeConversational assistantsUpdated Jun 22, 2026
The All England Lawn Tennis Club modernized Wimbledon’s digital platforms to deliver personalized and interactive fan experiences using live match content and archive assets. The solution uses IBM watsonx Orchestrate for Match Chat and IBM Bob to build a knowledge graph, map content relationships, and translate the archive into a redesigned digital platform. The modernized experience includes Likelihood to Win, Key Moments explanations, and conversational Match Chat for the Wimbledon app and website.
- Organization
- All England Lawn Tennis Club
- Industry
- Other
- Location
- United Kingdom
- Published
- June 2026
Reported outcomes
MyWIMBLEDON registrations growth: +39%
Revenue & growth
Content assets extracted: 15,000 assetsMapping project duration: 4 weeksEngagement growth across platforms: +16%
Strategic outcomes
Customer experience & trustCreated personalized fan experiencesCost efficiencyUnlocked operational efficiency in platform modernizationNew product / capabilityLaunched conversational Match Chat and match insight features
Catalog median for revenue & growth deployments: +40% across 69 reported metrics. Compare benchmarks →
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Mapping project duration: 4 weeks decrease
"a mapping project that could traditionally require a team of four to five IBM specialists working for months was completed by a single engineer within 4 weeks"
Normalized claim
Engagement growth across platforms: 16% increase
"In 2025, AELTC reports these efforts contributed to a 16% year-on-year increase in engagement across all platforms"
Normalized claim
MyWIMBLEDON registrations growth: 39% increase
"with a 39% growth in those registered to myWIMBLEDON in the past year"
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- All England Lawn Tennis Club
- Provider
- IBM
- Maturity
- Unknown
- Linked source
- IBM Newsroom
No explicit deployment-stage evidence found.
Customer identity supportedSource describes one deploymentMaturity evidence evaluated
Primary read
Use case focus
Showing 2 of 2
- 1Conversational assistants
- 2Content migration
- Wimbledon needed to modernize its digital platforms and deliver more personalized, interactive fan experiences.
- The club also needed to extract and reorganize a large archive of digital content into a new platform architecture.
- IBM watsonx Orchestrate powers Match Chat, which provides conversational answers using live match data, analysis, and historical performance information.
- IBM Bob was used to build a knowledge graph, develop AI-driven workflows, and translate the content structure into the new platform.
- The redesigned platform supports AI-powered features such as Likelihood to Win and Key Moments, trained in Wimbledon’s editorial style and tennis language.
Technologies
- The mapping project was completed by a single engineer in 4 weeks instead of a team of four to five specialists working for months.
- 15,000 digital assets were extracted in 47 minutes.
- In 2025, Wimbledon reported 16% year-on-year engagement growth across platforms and 39% growth in registered myWIMBLEDON users.
Architecture
The solution combines IBM watsonx Orchestrate for conversational Match Chat, IBM Bob for content graph construction and workflow translation, and fit-for-purpose models trained on Wimbledon editorial style. The article states the platform was modernized and the archive content was reorganized into a new architecture.
Sources & evidence1
Evidence: Low35/100Evidence strength
- Customer explicitly identified
- Quantified outcome available
- Technical implementation details available
Type: Press ReleasePublished: Jun 22, 2026Publisher: IBMEvidence: VendorConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
Explore related AI use cases
Customer evidence
Provider evidence
Market context
AI patterns
Browse the catalog
Was this useful?
Community
Comments
No published comments yet.