List of Oracle DataScience.com Platform Customers
Oracle
2300 Oracle Way,
Austin, 78741, TX,
United States
Austin, 78741, TX,
United States
1 737-867-1000
Professional Services
162000
$67.1B
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 $67.10 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 22500 employees and revenues of $7.51 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 |
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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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DSP | Professional Services | 600 | $110M | United Kingdom | Oracle | Oracle DataScience.com Platform | ML and Data Science Platforms | 2020 | n/a |
In 2020, DSP implemented Oracle DataScience.com Platform to support a clinical machine learning initiative with the National Institute for Health Research focused on cochlear implant programming. The deployment used Oracle Cloud Infrastructure Data Science, placing the implementation within the ML and Data Science Platforms category, and targeted model development workflows to predict programming adjustments across the early post-implant two year period.
The implementation emphasized a Python based development environment, providing data scientists with open source notebook workflows and full visibility and control over model creation so results would be understandable by the customer. DSP used the Accelerated Data Science toolkit included with Oracle Cloud Infrastructure Data Science to accelerate algorithm selection and guide model exploration during model building and evaluation.
Operationally the platform consumed clinical data collected by the National Institute for Health Research, focusing on the programming sequence that typically requires roughly six updates in the first two years for new recipients. The work supported clinical research teams and programming workflows for cochlear implant recipients, with the stated objectives of reducing clinic visits and lowering the level of expertise required to configure implants.
Governance emphasized model explainability and controlled model creation, enabling clinicians to inspect and understand model outputs before applying recommendations to patient programming workflows. Using Oracle DataScience.com Platform helped the National Institute for Health Research team gain new insights into how it can apply machine learning approaches to this clinical problem, while the Accelerated Data Science toolkit provided additional speed and guidance in model development.
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Experian | Professional Services | 22500 | $7.5B | Ireland | Oracle | Oracle DataScience.com Platform | ML and Data Science Platforms | 2020 | Baker Tilly Advisory Group |
In 2020, Experian implemented Oracle DataScience.com Platform as a core component of its ML and Data Science Platforms strategy. The program centralized critical data and analytics capabilities onto an Oracle Cloud Infrastructure lakehouse architecture to meet demanding real-time processing needs across analytics and product teams.
The deployment of Oracle DataScience.com Platform leveraged OCI lakehouse components including Oracle Exadata Cloud Service, Oracle Autonomous Data Warehouse, Object Storage, Big Data Service, Data Flow, OCI Functions, and Data Science. Functional capabilities implemented included data engineering pipelines, model development and training, scalable Spark-based batch and streaming processing, and serverless data-processing orchestration using OCI Functions to support automated data workflows and model operationalization.
Experian integrated existing open source Spark and Hadoop workloads into the OCI lakehouse without re-engineering, and consolidated analytics workloads for fraud detection, call center analytics, financial analytics, and regional credit data processing including Brazil. The implementation explicitly targeted global analytics coverage with emphasis on emerging markets such as Brazil and India to accelerate product delivery and high-volume data processing at scale.
Project governance and rollout were supported by Oracle Cloud Lift Services for planning, architecture, and prototyping, with implementation services from Baker Tilly Advisory Group aligning platform adoption to enterprise architecture and data governance practices. Experian reported a 40 percent increase in performance, a 60 percent reduction in costs, and increased reliability and resilience after deploying Oracle DataScience.com Platform on the OCI lakehouse.
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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 | $67.1B | 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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| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD Oracle DataScience.com Platform Coverage
Oracle DataScience.com Platform is a ML and Data Science Platforms solution from Oracle.
Companies worldwide use Oracle DataScience.com Platform, from small firms to large enterprises across 21+ industries.
Organizations such as Oracle, Rio Tinto, Amgen, SiriusXM and Experian are recorded users of
Oracle DataScience.com Platform for ML and Data Science Platforms.
Companies using Oracle DataScience.com Platform are most concentrated in Professional Services, Oil, Gas and Chemicals and Life Sciences, with adoption spanning over 21 industries.
Companies using Oracle DataScience.com Platform are most concentrated in United States, United Kingdom and Ireland, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Oracle DataScience.com Platform across Americas, EMEA, and APAC.
Companies using Oracle DataScience.com Platform range from small businesses with 0-100 employees - 6.25%, to mid-sized firms with 101-1,000 employees - 37.5%, large organizations with 1,001-10,000 employees - 31.25%, and global enterprises with 10,000+ employees - 25%.
Customers of Oracle DataScience.com Platform include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified Oracle DataScience.com Platform customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of ML and Data Science Platforms.