Apps Purchases: 10+ Million Software Purchases
Founded in 2010, APPS RUN THE WORLD is a leading technology intelligence and market-research company devoted to the application space. Leveraging a rigorous data-centric research methodology, we ask the simple B2B sales intelligence question: Who’s buying enterprise applications from whom and why?
Our global team of 50 researchers has been studying the digital transformation initiatives being undertaken by 2 million + companies including technographic segmentation of 10 million ERP, EPM, CRM, HCM, Procurement, SCM, Treasury software purchases, 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.
Apps Run The World Buyer Insight and Technographics Customer Database has over 100 data fields that detail company usage of emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database, and different on-prem and cloud apps by function, customer size (employees, revenues), industry, country, implementation status, year deal won, partner involvement, Line of Business Key Stakeholders and key decision-makers contact details, including the systems being used by Fortune 1000 and Global 2000 companies.
Apply Filters For 10+ Million Software Purchases
- Professional Services
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | VAR/SI | Insight | Insight Source |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
 |
Worldsmart | Professional Services | 100 | $10M | Australia | Microsoft | Microsoft SQL Server 2017 Machine Learning Services | ML and Data Science Platforms | 2015 | n/a | In 2015, Worldsmart implemented Microsoft SQL Server 2017 Machine Learning Services as part of its ML and Data Science Platforms stack. The deployment was positioned to host in-database analytic workflows and operational model scoring for the firm’s forecasting use cases. Microsoft SQL Server 2017 Machine Learning Services was configured to execute R-based analytics inside the database, enabling persistent model artifacts and scheduled scoring jobs. The configuration emphasized in-database execution and model operationalization, delivering repeatable inferencing through stored procedures and automated batch scoring pipelines. The SQL Server Machine Learning deployment was integrated with Azure Stream Analytics services for streaming input and with R Server for model training and experimentation, while Power BI was chosen as the presentation layer to reduce the technical burden of visualization and report delivery. The implementation tied data ingestion, model scoring, and interactive reporting together to support Worldsmart’s machine learning forecasts and analysis workflows within its analytics and decision support processes. | |
 |
Intelen | Professional Services | 20 | $2M | Greece | Microsoft | Microsoft Azure Machine Learning | ML and Data Science Platforms | 2015 | n/a | ||
 |
|
Professional Services | 5000 | $173M | New Zealand | Microsoft | Microsoft Azure Machine Learning | ML and Data Science Platforms | 2015 | n/a |
|
|
|
|
|
Professional Services | 5 | $1M | United Kingdom | Microsoft | Microsoft Azure Machine Learning | ML and Data Science Platforms | 2015 | n/a |
|
|
|
|
|
Professional Services | 10 | $1M | United Kingdom | Microsoft | Microsoft Azure Machine Learning | ML and Data Science Platforms | 2015 | n/a |
|
|
|
|
|
Professional Services | 20 | $5M | United States | Microsoft | Microsoft Azure Machine Learning | ML and Data Science Platforms | 2015 | n/a |
|
|
|
|
|
Professional Services | 10000 | $2.7B | Netherlands | Microsoft | Microsoft Azure Machine Learning | ML and Data Science Platforms | 2015 | n/a |
|
|
|
|
|
Professional Services | 333840 | $91.7B | Japan | Oracle | Oracle Management Cloud | ML and Data Science Platforms | 2017 | n/a |
|
|
|
|
|
Professional Services | 200 | $20M | Germany | IBM | IBM Watson Studio (ex IBM Data Science Experience) | ML and Data Science Platforms | 2017 | n/a |
|
|
|
|
|
Professional Services | 3800 | $1.8B | United States | Oracle | Oracle Management Cloud | ML and Data Science Platforms | 2017 | n/a |
|
|