AI Buyer Insights:

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Apps Purchases: 10+ Million Software Purchases

App 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
LogMeIn Professional Services 3936 $1.3B United States DataRobot DataRobot Cloud ML and Data Science Platforms 2016 n/a
Experian Professional Services 23300 $7.5B Ireland H2O.ai H2O Open Source ML ML and Data Science Platforms 2016 n/a In 2016 Experian implemented H2O Open Source ML into its Analytical Sandbox. The H2O Open Source ML deployment serves as an example of ML and Data Science Platforms used to model and predict billions of rows of high dimensional data drawn from multiple sources and formats. The implementation emphasized core machine learning and deep learning capabilities, including advanced predictive modeling and large scale model training. H2O Open Source ML was configured to support analyst workflows for model development, evaluation, and scoring, enabling on demand data insights and iterative experimentation within the sandbox environment. Deployment architecture centered on the Analytical Sandbox as the execution and experimentation layer, ingesting heterogeneous data feeds in various formats for feature engineering and model training. The platform was applied across analytics teams to generate regional trend analysis, consumer transactional insight, and marketing opportunity signals, with processing designed to handle high volume, high dimensional datasets. Governance and operational processes focused on empowering analysts with self service access to model outputs and on demand intelligence, while retaining centralized data sourcing through the sandbox. The H2O Open Source ML implementation enabled Experian to provide higher quality intelligence to analysts and business stakeholders to inform regional and marketing use cases, without introducing quantified outcomes beyond the stated capability to deliver on demand insights.
Professional Services 300 $90M United States Databricks Databricks Unified Analytics Platform ML and Data Science Platforms 2017 n/a
Professional Services 15000 $3.5B United States Databricks Databricks Unified Analytics Platform ML and Data Science Platforms 2017 n/a
Professional Services 4500 $2.0B United States Databricks Databricks Unified Analytics Platform ML and Data Science Platforms 2016 n/a
Professional Services 450 $50M Italy Cloudera Cloudera Enterprise Platform Data Warehouse 2017 n/a
Professional Services 250 $22M Australia Cloudera Cloudera Enterprise Platform Data Warehouse 2016 n/a
Professional Services 88000 $15.4B United States Cloudera Cloudera Enterprise Platform Data Warehouse 2017 n/a
Professional Services 3400 $889M United States Cloudera Cloudera Enterprise Platform Data Warehouse 2017 n/a
Professional Services 25000 $6.8B Canada Cloudera Cloudera Enterprise Platform Data Warehouse 2017 n/a
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