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 |
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Cisco Systems | Professional Services | 90400 | $53.8B | United States | H2O.ai | H2O Open Source ML | ML and Data Science Platforms | 2014 | n/a | In 2014, Cisco Systems partnered with H2O.ai to deploy H2O Open Source ML. The deployment targeted expansion of enterprise modeling capabilities within the ML and Data Science Platforms category, focusing on in-memory distributed processing to accelerate large scale predictive modeling. Cisco implemented H2O Open Source ML to provide core machine learning modules including logistic regression, linear regression, generalized linear models, Naive Bayes, Random Forest, Ada Boosting, and deep learning. The platform was used for ensemble workflows that combine hundreds of simple models into high performing predictors, leveraging H2O specific in-memory compression and distributed algorithms for throughput and scalability. The technical architecture emphasized in-memory distributed execution and compression to reduce footprint, making it possible to handle billions of data rows with a relatively small cluster. This approach was positioned as materially faster than disk based MapReduce implementations, with H2O documentation noting distributed in-memory algorithms are usually 100 times faster and that compression frequently yields 50 to 100 times reductions in in memory data size, enabling some teams to operate on a few machines rather than very large clusters. Governance and rollout focused on enabling data science and analytics teams across departments that lacked large cluster operations, shifting modeling processes toward ensemble and deep learning pipelines within the H2O Open Source ML environment. The vendor selection followed an evaluation of several big data machine learning platforms and emphasized tradeoffs in speed, memory efficiency, and operational resource requirements as primary decision criteria. | |
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Cisco Systems | Professional Services | 90400 | $53.8B | United States | Oracle | Oracle NetSuite ERP | ERP Financial | 2012 | n/a | ||
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Professional Services | 90400 | $53.8B | United States | Apache Software | Apache Hadoop | Database Management | 2014 | n/a |
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Professional Services | 90400 | $53.8B | United States | IBM | IBM Integrated Analytics System | Analytics and BI | 2014 | n/a |
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Professional Services | 90400 | $53.8B | United States | Oracle | Oracle Exalogic Elastic Cloud | Data Warehouse Appliance | 2012 | n/a |
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Professional Services | 90400 | $53.8B | United States | Cloudera | Cloudera Enterprise Platform | Data Warehouse | 2013 | n/a |
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Professional Services | 90400 | $53.8B | United States | NetSol Technologies | NetSol LeasePak Cloud | Lease Management | 2002 | n/a |
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Professional Services | 90400 | $53.8B | United States | Avature | Avature ATS | Applicant Tracking System | 2016 | n/a |
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Professional Services | 90400 | $53.8B | United States | UKG | UKG Workforce Central (ex Kronos Workforce Central) | Workforce Management | 2017 | n/a |
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Professional Services | 90400 | $53.8B | United States | UKG | UKG Workforce Central Scheduler (ex Kronos Workforce Scheduler) | Workforce Scheduling | 2017 | n/a |
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