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Michelin, an e2open customer evaluated Oracle Transportation Management

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Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

List of IBM watsonx BI Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
Intel Manufacturing 88400 $53.1B United States IBM IBM watsonx BI Analytics and BI 2024 n/a In 2024, Intel collaborated with IBM to optimize watsonx.data on Intel Xeon processors to accelerate analytics and generative AI data workloads. The engagement focused on infrastructure-level tuning that demonstrably produced higher query throughput and faster time-to-insight for analytics use cases, outcomes reported by Intel and IBM that support downstream business intelligence consumption. The performance work is positioned to underpin IBM watsonx BI, an Analytics and BI application, by strengthening the data layer that feeds BI query engines and interactive dashboards. Improvements described center on query processing efficiency and data throughput, which are core functional capabilities for Analytics and BI deployments including interactive reporting, ad hoc analysis, and model-driven insights. Architecturally the effort centers on optimizing watsonx.data on Intel Xeon processor platforms, aligning the data platform with processor-level tuning and I O characteristics to accelerate enterprise analytics and generative-AI workloads. This places the performance improvements at the infrastructure and data services layer, enabling IBM watsonx BI to consume higher throughput data feeds and reduced latency query responses. Governance and rollout details were not specified, however the narrative ties technical optimization to practical analytics outcomes, specifically higher query throughput and faster time-to-insight. These explicit outcomes indicate that IBM watsonx BI, when paired with the optimized watsonx.data stack on Intel Xeon infrastructure, is positioned to deliver improved interactive analytics experiences for enterprise analytics teams.
United States Tennis Association Non Profit 2020 $80M United States IBM IBM watsonx BI Analytics and BI 2025 n/a In 2025, the United States Tennis Association deployed IBM watsonx BI to power AI-generated commentary, Match Insights and fan-facing analytics during the US Open in the United States. The initiative positioned IBM watsonx BI within an Analytics and BI environment to deliver real-time match analysis and generative commentary to spectators and event content teams. The implementation centered on watsonx-driven capabilities for automated insight generation, narrative commentary and real-time dashboarding, pairing streaming event ingestion with low-latency analytics and visualization. IBM watsonx BI was configured to surface Match Insights through controlled natural-language generation and structured analytics, enabling content teams to produce AI-assisted summaries and live insight panels for fans. Operational delivery ingested live match events and routed AI-generated outputs to fan-facing digital platforms while supporting live analysis workflows used by commentators and content editors. Governance included editorial review and approval workflows to manage generative outputs and ensure factual accuracy, and the rollout scope was focused on tournament operations, broadcast support and fan engagement functions during the US Open.
Wimbledon Leisure and Hospitality 200 $30M United Kingdom IBM IBM watsonx BI Analytics and BI 2024 n/a In 2024 Wimbledon implemented IBM watsonx BI to deliver watsonx-powered analytics and personalized fan experiences across its digital platforms. The IBM watsonx BI deployment targets Analytics and BI use cases that underpin features publicized by IBM, including 'Catch Me Up', 'Match Chat' and live 'Likelihood to Win'. The implementation centers on real-time analytics and insight delivery modules within IBM watsonx BI, including streaming analytics and live scoring inference, natural language summarization for player stories, dashboarding and API-based insight distribution. Configuration work inferred from IBM descriptions focuses on model inference pipelines and BI visualization layers to synthesize match telemetry into fan-facing narrative and probability outputs. Operational integration surfaces IBM watsonx BI outputs directly into Wimbledon platforms, impacting digital content, media and marketing functions during the tournament. The scope of use is fan engagement and content personalization across the public website and companion digital experiences, with insights delivered as embedded widgets and conversational interfaces. Deployment was executed in partnership with IBM and included governance alignment between digital product owners and content teams to monitor model outputs and curate personalized stories. The rollout emphasizes staged activation during tournament phases, and IBM statements indicate the watsonx-driven features increased digital engagement across Wimbledon platforms.
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