Apps Run The World

List of H2O Open Source ML Customers

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Since 2010, our global team of researchers has been studying H2O Open Source ML 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 H2O Open Source ML for Machine Learning and Data Science Platform 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 H2O Open Source ML for Machine Learning and Data Science Platform include: Comcast, a United States based Communications organisation with 189000 employees and revenues of $116.39 billion, Comcast Corporation, a United States based Communications organisation with 189000 employees and revenues of $116.39 billion, Kaiser Permanente, a United States based Healthcare organisation with 217277 employees and revenues of $93.10 billion, HCA Healthcare, Inc., a United States based Healthcare organisation with 204000 employees and revenues of $58.75 billion, Cisco Systems, Inc., a United States based Professional Services organisation with 83300 employees and revenues of $51.56 billion and many others.

Contact us if you need a completed and verified list of companies using H2O Open Source ML, 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 H2O Open Source ML 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!




Customer Industry Empl. Revenue Country Vendor Old Product New Product Category Market When
Automatic Data Processing, Inc. Professional Services 60000 $16.05B United States H2O.ai Legacy Applications H2O Open Source ML Machine Learning and Data Science Platform Artificial Intelligence 2016
Beeswax Professional Services 150 $12.0M United States H2O.ai Legacy Applications H2O Open Source ML Machine Learning and Data Science Platform Artificial Intelligence 2016
Booking.com USA Professional Services 16900 $4.25B Netherlands H2O.ai Legacy Applications H2O Open Source ML Machine Learning and Data Science Platform Artificial Intelligence 2016
Subscribe Banking and Financial Services 55943 $34.25B United States H2O.ai Legacy Applications H2O Open Source ML Machine Learning and Data Science Platform Artificial Intelligence 2015
Subscribe Professional Services 14000 $3.48B United States H2O.ai Legacy Applications H2O Open Source ML Machine Learning and Data Science Platform Artificial Intelligence 2016
Subscribe Professional Services 83300 $51.56B United States H2O.ai Legacy Applications H2O Open Source ML Machine Learning and Data Science Platform Artificial Intelligence 2014
Subscribe Communications 189000 $116.39B United States H2O.ai Legacy Applications H2O Open Source ML Machine Learning and Data Science Platform Artificial Intelligence 2016
Subscribe Communications 189000 $116.39B United States H2O.ai Legacy Applications H2O Open Source ML Machine Learning and Data Science Platform Artificial Intelligence 2016
Subscribe Professional Services 13000 $4.92B United States H2O.ai Legacy Applications H2O Open Source ML Machine Learning and Data Science Platform Artificial Intelligence 2016
Subscribe Professional Services 21700 $5.24B Ireland H2O.ai Legacy Applications H2O Open Source ML Machine Learning and Data Science Platform Artificial Intelligence 2016
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