List of IBM Watson Studio (ex IBM Data Science Experience) Customers
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Since 2010, our global team of researchers has been studying IBM Watson Studio (ex IBM Data Science Experience) customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased IBM Watson Studio (ex IBM Data Science Experience) for ML and Data Science Platforms from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using IBM Watson Studio (ex IBM Data Science Experience) for ML and Data Science Platforms include: Accenture, a Ireland based Professional Services organisation with 791000 employees and revenues of $64.90 billion, Fifth Third Bank, a United States based Banking and Financial Services organisation with 18676 employees and revenues of $8.25 billion, The Seafood Innovation Cluster, a Norway based Professional Services organisation with 18000 employees and revenues of $7.64 billion, GroupM Nordic, a United States based Professional Services organisation with 36000 employees and revenues of $7.20 billion, ENTEGA Plus, a Germany based Utilities organisation with 2200 employees and revenues of $1.90 billion and many others.
Contact us if you need a completed and verified list of companies using IBM Watson Studio (ex IBM Data Science Experience), including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the Machine Learning software purchases.
The IBM Watson Studio (ex IBM Data Science Experience) customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of Machine Learning software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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Accenture | Professional Services | 791000 | $64.9B | Ireland | IBM | IBM Watson Studio (ex IBM Data Science Experience) | ML and Data Science Platforms | 2017 | n/a | In 2017, Accenture implemented IBM Watson Studio (ex IBM Data Science Experience) to consolidate data management, real-time analytics, AI and machine learning into a single engineering and delivery environment. The deployment positioned IBM Watson Studio as part of Accenture's ML and Data Science Platforms to support fraud analytics within client engagements. The implementation emphasized an integrated environment for data scientists and analytics engineers. Configuration focused on standard functional capabilities common to ML and Data Science Platforms, including data ingestion and cataloging, exploratory analytics using collaborative notebooks, model development and training pipelines, and model lifecycle management for deployment and monitoring. Accenture leveraged collaborative workspaces and automated training pipelines to accelerate iterative model development and reproducibility. The narrative aligns IBM Watson Studio's toolset to typical platform workflows such as feature engineering, model validation, and deployment orchestration. Operationally the environment was used by Accenture analytics and AI teams to embed models into client-facing fraud detection solutions, integrating with client data sources and streaming analytics where required. The implementation supported end to end workflows from data preparation through model serving, enabling models to be operationalized within client processes. This use case emphasized integration with real-time analytics and enterprise data management practices rather than specific third party connectors. Governance centered on model governance, version control, and reproducibility to meet enterprise and client audit expectations, with standardized workflows for review and promotion of models into production. Process changes included formalizing collaborative development and MLOps practices across delivery teams using IBM Watson Studio as the central platform. The platform helped Accenture bring together data management, real-time analytics, AI and machine learning into one environment, helping their clients address and prevent fraud. | |
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Caixa Geral de Depósitos | Banking and Financial Services | 6244 | $480M | Portugal | IBM | IBM Watson Studio (ex IBM Data Science Experience) | ML and Data Science Platforms | 2017 | Evea Group | In 2017, Caixa Geral de Depósitos implemented IBM Watson Studio (ex IBM Data Science Experience) as its ML and Data Science Platforms solution. The deployment was designed as a hybrid cloud implementation spanning both cloud and on premises infrastructure, aligning data science tooling with the bank’s core banking environment and IT Services organization. IBM Watson Studio and Watson Machine Learning were configured to support the end to end data science lifecycle, including data preparation, model development, model training, and operationalization pipelines. The implementation emphasized model lifecycle management and deployment automation typical of ML and Data Science Platforms, enabling data scientists to move models from experimentation to production within the bank’s controlled infrastructure. EVEA and Fabrick contributed development and Watson Machine Learning expertise during the rollout, working alongside Caixa Geral de Depósitos IT Services to surface the core banking environment for analytics and scoring. Governance was structured around IT Services led operationalization, integrating models into banking workflows across on premises and cloud systems, with the stated aim to create new business value. | |
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ENTEGA Plus | Utilities | 2200 | $1.9B | Germany | IBM | IBM Watson Studio (ex IBM Data Science Experience) | ML and Data Science Platforms | 2018 | n/a | In 2018, ENTEGA Plus deployed IBM Watson Studio (ex IBM Data Science Experience) as its ML and Data Science Platforms solution to centralize predictive analytics for customer acquisition, retention and campaign optimization. The rollout positioned IBM Watson Studio as the primary environment for model development, experimentation and operationalization, with an explicit focus on marketing and sales use cases. The implementation combined IBM Watson Studio with IBM SPSS Modeler capabilities to support predictive modeling, clustering, propensity scoring and model management workflows. Teams configured self-service analytics sandboxes and model pipelines that allowed nonstatistical marketing and sales staff to run segmentation and offer propensity analyses, while data scientists operated in the same platform to build and validate advanced models. IBM Watson Studio and SPSS Modeler were used to produce models that could be deployed into downstream delivery processes. Architecturally the initiative integrated directly with ENTEGA Plus data ingestion and warehousing layers, using IBM InfoSphere DataStage and IBM InfoSphere Change Data Capture to feed near real time feeds into the IBM PureData System for Analytics data warehouse. Analytical models and results were surfaced into IBM Cognos Business Intelligence for reporting and into IBM Predictive Customer Intelligence for individualized offer recommendations. COUNT+CARE led internal IT service implementation of SPSS Modeler, with ISR providing implementation support for analytics tooling and operationalization. Operational scope centered on marketing, sales, and the corporate business intelligence function, shifting analytics capability in house and reducing dependence on external consultancies. Governance changes emphasized a single version of truth in the PureData System for Analytics, secure access controls for sensitive customer and consumption data, and a faster model iteration cadence to shorten time to insight. Explicit business outcomes reported from the deployment included fivefold higher response rates for accurately targeted communications, generating four times the sales while contacting 50 percent fewer customers, and reduced campaign costs through more granular targeting. ENTEGA Plus also used insights to identify cross sell and referral opportunities, and began planning use of IBM predictive maintenance capabilities to monitor wind and solar assets for proactive maintenance. | |
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Banking and Financial Services | 18676 | $8.3B | United States | IBM | IBM Watson Studio (ex IBM Data Science Experience) | ML and Data Science Platforms | 2017 | n/a |
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Professional Services | 100 | $10M | United States | IBM | IBM Watson Studio (ex IBM Data Science Experience) | ML and Data Science Platforms | 2016 | n/a |
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Professional Services | 36000 | $7.2B | United States | IBM | IBM Watson Studio (ex IBM Data Science Experience) | ML and Data Science Platforms | 2016 | n/a |
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Life Sciences | 10 | $2M | Hungary | IBM | IBM Watson Studio (ex IBM Data Science Experience) | ML and Data Science Platforms | 2018 | n/a |
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Education | 280 | $30M | Hong Kong | IBM | IBM Watson Studio (ex IBM Data Science Experience) | ML and Data Science Platforms | 2020 | n/a |
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Professional Services | 200 | $20M | Germany | IBM | IBM Watson Studio (ex IBM Data Science Experience) | ML and Data Science Platforms | 2017 | n/a |
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Manufacturing | 10 | $5M | United States | IBM | IBM Watson Studio (ex IBM Data Science Experience) | ML and Data Science Platforms | 2017 | n/a |
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Buyer Intent: Companies Evaluating IBM Watson Studio (ex IBM Data Science Experience)
- Hanwha Engineering & Construction, a South Korea based Construction and Real Estate organization with 1000 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
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