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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Innoplexus AG | Professional Services | 300 | $30M | Germany | Google Cloud Machine Learning Engine | ML and Data Science Platforms | 2016 | n/a | |||
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BOTfriends | Professional Services | 10 | $2M | Germany | Google Cloud Machine Learning Engine | ML and Data Science Platforms | 2017 | n/a | In 2017, BOTfriends implemented Google Cloud Machine Learning Engine, an ML and Data Science Platforms solution, to support product development and model deployment. The team selected Google Cloud Machine Learning Engine on Google Cloud Platform citing the platform's easy to use interface and straightforward software development kits as key adoption factors. BOTfriends is a Germany based professional services startup of approximately 10 employees and focused the implementation on accelerating its conversational AI product development. The implementation leveraged core ML and Data Science Platforms capabilities such as managed model training jobs and hosted prediction services provided by Google Cloud Machine Learning Engine. BOTfriends engineers used Google software development kits and Google's APIs to build iterative training workflows and to expose prediction endpoints for bot features, embedding model development into standard developer tooling and deployment processes. Integration points emphasized platform native services, using Google Cloud Platform and Google's APIs as the operational backbone, and the company benefited from participation in GCP for Startups which supplied credits and developer hours to accelerate onboarding. Operational coverage was concentrated on the engineering and product teams responsible for bot development and for delivering ML driven features into client engagements across their services portfolio. Governance focused on developer centric workflows and platform supported provisioning, driven by the support package provided through GCP for Startups. BOTfriends reported that Google's APIs outperformed alternatives tested and that the Google Cloud Machine Learning Engine delivered a more efficient way to build products, with credits and developer hours materially supporting initial adoption and developer productivity. | ||
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Professional Services | 5 | $1M | United Kingdom | Google Cloud Machine Learning Engine | ML and Data Science Platforms | 2016 | n/a |
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Professional Services | 200 | $15M | Singapore | Google Cloud Machine Learning Engine | ML and Data Science Platforms | 2016 | n/a |
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Professional Services | 3300 | $965M | United States | Google Cloud Machine Learning Engine | ML and Data Science Platforms | 2016 | n/a |
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Professional Services | 1000 | $200M | United States | Google Cloud Machine Learning Engine | ML and Data Science Platforms | 2016 | n/a |
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Professional Services | 13 | $2M | Sweden | Google Cloud Machine Learning Engine | ML and Data Science Platforms | 2016 | n/a |
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Professional Services | 40 | $10M | United States | Google Cloud Machine Learning Engine | ML and Data Science Platforms | 2016 | n/a |
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Professional Services | 100 | $20M | Austria | Google Cloud Machine Learning Engine | ML and Data Science Platforms | 2016 | n/a |
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Professional Services | 20 | $2M | United States | Google Cloud Machine Learning Engine | ML and Data Science Platforms | 2016 | n/a |
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