List of Oracle DataScience.com Platform Customers
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Since 2010, our global team of researchers has been studying Oracle DataScience.com Platform 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 Oracle DataScience.com Platform 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 Oracle DataScience.com Platform for ML and Data Science Platforms include: Oracle, a United States based Professional Services organisation with 162000 employees and revenues of $57.40 billion, Rio Tinto, a United Kingdom based Oil, Gas and Chemicals organisation with 60000 employees and revenues of $53.66 billion, Amgen, a United States based Life Sciences organisation with 28000 employees and revenues of $33.42 billion, SiriusXM, a United States based Media organisation with 5680 employees and revenues of $8.95 billion, Experian, a Ireland based Professional Services organisation with 23300 employees and revenues of $7.52 billion and many others.
Contact us if you need a completed and verified list of companies using Oracle DataScience.com Platform, 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 Oracle DataScience.com Platform 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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Amgen | Life Sciences | 28000 | $33.4B | United States | Oracle | Oracle DataScience.com Platform | ML and Data Science Platforms | 2016 | n/a | In 2016 Amgen implemented Oracle DataScience.com Platform within its ML and Data Science Platforms capabilities. The record identifies Oracle DataScience.com Platform as the deployed application and classifies the effort under the ML and Data Science Platforms category. The Oracle DataScience.com Platform deployment focused on core model development and lifecycle management capabilities consistent with ML and Data Science Platforms. Functional emphasis included model training workflows, feature engineering, experiment tracking, collaborative notebooks, and a model registry to support reproducibility and centralized data science workspaces. Operational coverage targeted centralized data science teams supporting research and development and commercial analytics, with governance controls oriented to model versioning, experiment auditability, and standardized development workflows. Integration details were not provided in the record, so the narrative centers on platform modules, model lifecycle orchestration, and governance constructs typical for enterprise ML and Data Science Platforms. Notes associated with the record also reference selection of RapidMiner Data Science Platform for machine learning, indicating multiple tooling signals alongside Oracle DataScience.com Platform. The source therefore shows Amgen with Oracle DataScience.com Platform in 2016 while supplemental notes list RapidMiner as an additional vendor signal. | |
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Children's Medical Research Institute | Life Sciences | 300 | $27M | Australia | Oracle | Oracle DataScience.com Platform | ML and Data Science Platforms | 2022 | n/a | In 2022, Children's Medical Research Institute implemented Oracle DataScience.com Platform to modernize compute and analytics for biomedical research. The deployment centered on ML and Data Science Platforms to support genomics sequencing, proteomics, high-resolution microscopy images, and numerical simulation workloads. The implementation leveraged Oracle Cloud Infrastructure alongside OCI Data Science as the managed, serverless machine learning service providing collaborative, project-driven workspaces, Conda environments, Python libraries, and model lifecycle management. OCI Object Storage was provisioned to consolidate multiple data sources and securely store multiple terabytes of sequencing and imaging data, while the cloud environment provided fast CPUs and GPUs and near-instantaneous infrastructure provisioning and elastic scaling. Operational coverage spanned CMRI research groups, data scientists, and operations teams working across locations, with the cloud platform addressing the institute need to make research data shareable, customizable, and reusable. The platform supported data pipelines from high throughput NGS technologies and high performance numerical simulations, reducing reliance on a single local server that previously constrained remote collaboration. Governance and workflow changes focused on standardizing project workspaces for collaboration and model reuse, and on shifting provisioning processes to on demand cloud workflows managed within OCI Data Science. Network and data protection controls were applied through Oracle Cloud Infrastructure to meet institutional security and virtual network requirements. CMRI reported concrete operational outcomes, including reducing numerical simulation time from 30 days to five using OCI Data Science, becoming 30 to 50 percent more efficient with resources, and saving approximately 30 percent in costs with Oracle Cloud, reflecting the platform impact on research throughput and infrastructure economics. | |
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Delphy | Professional Services | 250 | $17M | Netherlands | Oracle | Oracle DataScience.com Platform | ML and Data Science Platforms | 2022 | n/a | In 2022, Delphy deployed Oracle DataScience.com Platform on Oracle Cloud Infrastructure as a core element of a consolidated Oracle Cloud stack. The implementation is categorized under ML and Data Science Platforms and ties Oracle DataScience.com Platform to Oracle APEX and Oracle Database Cloud Service to support Delphy's shift from a consultancy model to a software and SaaS delivery organization. The technical implementation centralized data science and application delivery capabilities, using OCI Data Science for Python based simulation, model training, and notebook driven experimentation, and Oracle APEX to produce customer facing application interfaces that read and write to Oracle Database Cloud Service Standard Edition. Compute, storage, and networking workloads for customer facing SaaS applications were provisioned on OCI, with data science scripts developed, tested, and promoted into production through the same development and operations workflows used for application delivery. Integrations include automated API connections to climate and weather data providers that augment Delphy's proprietary knowledge base, and native connectivity between Oracle DataScience.com Platform, OCI Data Science, Oracle Database Cloud Service, and Oracle APEX. Operational scope spans Delphy's development and data science teams, supporting nine crop specific applications and a staff base of approximately 250, and extends data and application delivery to customers and consultants across the AgriFORCE network. Governance and process changes included building an internal data science team, consolidating development and operations practices on OCI, and using Oracle APEX to enable a SaaS delivery model. Explicit outcomes reported include OCI operating as the single cloud platform for all Delphy data and workloads, a reduction in simulation runtime from hours to minutes using OCI Data Science, and optimization of IT support expenditures while enabling scale for global expansion. The DOC served as advisor and continues to provide management services to Delphy. | |
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Professional Services | 600 | $110M | United Kingdom | Oracle | Oracle DataScience.com Platform | ML and Data Science Platforms | 2020 | n/a |
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Professional Services | 23300 | $7.5B | Ireland | Oracle | Oracle DataScience.com Platform | ML and Data Science Platforms | 2020 | Baker Tilly Advisory Group |
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Manufacturing | 1540 | $265M | Thailand | Oracle | Oracle DataScience.com Platform | ML and Data Science Platforms | 2021 | n/a |
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Professional Services | 100 | $10M | United States | Oracle | Oracle DataScience.com Platform | ML and Data Science Platforms | 2022 | n/a |
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Professional Services | 160 | $20M | Croatia | Oracle | Oracle DataScience.com Platform | ML and Data Science Platforms | 2021 | n/a |
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Professional Services | 700 | $92M | Norway | Oracle | Oracle DataScience.com Platform | ML and Data Science Platforms | 2023 | n/a |
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Professional Services | 162000 | $57.4B | United States | Oracle | Oracle DataScience.com Platform | ML and Data Science Platforms | 2024 | n/a |
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Buyer Intent: Companies Evaluating Oracle DataScience.com Platform
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