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List of IBM Watson Machine Learning Customers

IBM
Location
1 New Orchard Road,
Armonk, 10504, NY,
United States
Website
https://www.ibm.com/
Phone
1 914-499-1900
Artw industry
Professional Services
Employee
270300
Revenue
$62.8B

Since 2010, our global team of researchers has been studying IBM Watson Machine Learning 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 IBM Watson Machine Learning for ML and Data Science Platforms 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 IBM Watson Machine Learning for ML and Data Science Platforms include: TPBank, a Vietnam based Banking and Financial Services organisation with 7939 employees and revenues of $664.0 million, Capital Bank of Jordan, a Jordan based Banking and Financial Services organisation with 1200 employees and revenues of $300.0 million, Goodiebox, a Denmark based Retail organisation with 150 employees and revenues of $15.0 million and many others.

Contact us if you need a completed and verified list of companies using IBM Watson Machine Learning, 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 software purchases.

The IBM Watson Machine Learning 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 software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!

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Logo Customer Industry Empl. Revenue Country Vendor Old Product New Product Category When SI
Capital Bank of Jordan Banking and Financial Services 1200 $300M Jordan IBM Legacy IBM Watson Machine Learning ML and Data Science Platforms 2021 JBS Jordan
Goodiebox Retail 150 $15M Denmark IBM Legacy IBM Watson Machine Learning ML and Data Science Platforms 2024 Integrator
TPBank Banking and Financial Services 7939 $664M Vietnam IBM Legacy IBM Watson Machine Learning ML and Data Science Platforms 2021 n/a
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Buyer Intent: Companies Evaluating IBM Watson Machine Learning

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FAQ - APPS RUN THE WORLD IBM Watson Machine Learning Coverage

IBM Watson Machine Learning is a ML and Data Science Platforms solution from IBM.

Companies worldwide use IBM Watson Machine Learning, from small firms to large enterprises across 21+ industries.

Organizations such as TPBank, Capital Bank of Jordan and Goodiebox are recorded users of IBM Watson Machine Learning for ML and Data Science Platforms.

Companies using IBM Watson Machine Learning are most concentrated in Banking and Financial Services and Retail, with adoption spanning over 21 industries.

Companies using IBM Watson Machine Learning are most concentrated in Vietnam, Jordan and Denmark, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of IBM Watson Machine Learning across Americas, EMEA, and APAC.

Companies using IBM Watson Machine Learning range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 33.33%, large organizations with 1,001-10,000 employees - 66.67%, and global enterprises with 10,000+ employees - 0%.

Customers of IBM Watson Machine Learning include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified IBM Watson Machine Learning customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of ML and Data Science Platforms.