List of Oracle Data Science Cloud Customers
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Since 2010, our global team of researchers has been studying Oracle Data Science Cloud 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 Data Science Cloud 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 Data Science Cloud for ML and Data Science Platforms include: Oracle Red Bull Racing, a United Kingdom based Leisure and Hospitality organisation with 840 employees and revenues of $302.0 million, EVERYTHING BUT THE HOUSE, a United States based Retail organisation with 500 employees and revenues of $60.0 million, AgroScout, a Israel based Professional Services organisation with 20 employees and revenues of $3.0 million, IDenTV, a United States based Professional Services organisation with 25 employees and revenues of $3.0 million and many others.
Contact us if you need a completed and verified list of companies using Oracle Data Science Cloud, 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 Data Science Cloud 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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AgroScout | Professional Services | 20 | $3M | Israel | Oracle | Oracle Data Science Cloud | ML and Data Science Platforms | 2018 | n/a | AgroScout implemented Oracle Data Science Cloud in 2018 to support its ML and Data Science Platforms capabilities for precision agriculture. The implementation focused on managing a continuous and increasing flow of input data and applying AgroScout’s AI based solution to transform that data into decision agriculture at scale, leveraging Oracle Cloud for speed, scale, and agility. Implementation centered on collaborative model development, training, and deployment workflows, with Oracle Cloud Infrastructure Data Science improving data scientists’ ability to collaboratively build, train, and deploy machine learning models. The deployment provided shared notebooks and model lifecycle orchestration typical of ML and Data Science Platforms, centralized data scientist workspaces, and governance for model versioning and deployment workflows, enabling repeatable training and operationalization of models for AgroScout’s precision agriculture use cases. | |
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EVERYTHING BUT THE HOUSE | Retail | 500 | $60M | United States | Oracle | Oracle Data Science Cloud | ML and Data Science Platforms | 2017 | n/a | In 2017, Everything But the House implemented Oracle Data Science Cloud as its ML and Data Science Platforms solution to introduce data driven inventory valuation and sales forecasting. The deployment targeted the companys online estate sale operations that list more than 80,000 unique items per month, providing a technical foundation to estimate expected revenue for individual sales and aggregated monthly forecasts. The implementation centered on a production model deployed in the DataScience.com Platform that estimates the value of inventory items, combined with model training and scoring workflows typical of ML and Data Science Platforms. Workflows included data preparation and feature engineering on historical sale and inventory records, iterative model training and validation, and operational scoring to produce item level valuations and roll up financial forecasts for decision makers. Operational coverage spans merchandising, revenue forecasting and finance teams, and executive decision makers who consume the forecasts to set sale expectations and inventory pricing. The solution is cloud hosted through Oracle Data Science Cloud, and integrates model serving into business reporting and forecasting processes to deliver near real time valuation outputs across the online estate sale business. Governance was organized around model validation and forecast review prior to release, with periodic retraining cycles to maintain accuracy as inventory and sale patterns change. As a result Everything But the House now provides decision makers with financial forecasts that accurately predict monthly sales within cents, using Oracle Data Science Cloud as the platform for model development and production scoring. | |
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IDenTV | Professional Services | 25 | $3M | United States | Oracle | Oracle Data Science Cloud | ML and Data Science Platforms | 2019 | n/a | In 2019, IDenTV implemented Oracle Data Science Cloud to operationalize its computer vision, automated speech recognition and textual semantic classifier workloads. The deployment positioned Oracle Data Science Cloud as the core ML and Data Science Platforms capability supporting IDenTV's data science teams and video analytics product development. The implementation embedded Jupyter notebooks and open source frameworks including TensorFlow and Keras, enabling interactive experimentation, model training, and pipeline orchestration within the hosted environment. Configuration prioritized scalable model training and streamlined model deployment capabilities so experimentation could move to production with reduced operational friction. The environment delivered unified data access across locations so data scientists could access data without managing underlying data location and access mechanisms, supporting day to day operations for the companys data science teams. Company leadership reported faster results and tremendous cost savings as a result of using Oracle Data Science Cloud, enabling IDenTV to scale its ML and Data Science Platforms efforts more rapidly. | |
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Leisure and Hospitality | 840 | $302M | United Kingdom | Oracle | Oracle Data Science Cloud | ML and Data Science Platforms | 2022 | n/a |
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Buyer Intent: Companies Evaluating Oracle Data Science Cloud
- Tamiami Airport Business Association United States, a United States based Non Profit organization with 10 Employees
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