List of IBM Watson Studio (ex IBM Data Science Experience) Customers

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Logo Customer Industry Empl. Revenue Country Vendor Old Product New Product Category When SI
Accenture Professional Services 791000 $64.9B Ireland IBM Legacy IBM Watson Studio (ex IBM Data Science Experience) ML and Data Science Platforms 2017 n/a
Caixa Geral de Depósitos Banking and Financial Services 6244 $480M Portugal IBM Legacy IBM Watson Studio (ex IBM Data Science Experience) ML and Data Science Platforms 2017 Evea Group
ENTEGA Plus Utilities 2200 $1.9B Germany IBM Legacy IBM Watson Studio (ex IBM Data Science Experience) ML and Data Science Platforms 2018 n/a
Banking and Financial Services 18616 $8.3B United States IBM Legacy IBM Watson Studio (ex IBM Data Science Experience) ML and Data Science Platforms 2017 n/a
Professional Services 100 $10M United States IBM Legacy IBM Watson Studio (ex IBM Data Science Experience) ML and Data Science Platforms 2016 n/a
Professional Services 36000 $7.2B United States IBM Legacy IBM Watson Studio (ex IBM Data Science Experience) ML and Data Science Platforms 2016 n/a
Life Sciences 10 $2M Hungary IBM Legacy IBM Watson Studio (ex IBM Data Science Experience) ML and Data Science Platforms 2018 n/a
Education 280 $30M Hong Kong IBM Legacy IBM Watson Studio (ex IBM Data Science Experience) ML and Data Science Platforms 2020 n/a
Professional Services 200 $20M Germany IBM Legacy IBM Watson Studio (ex IBM Data Science Experience) ML and Data Science Platforms 2017 n/a
Manufacturing 10 $5M United States IBM Legacy IBM Watson Studio (ex IBM Data Science Experience) ML and Data Science Platforms 2017 n/a
Showing 1 to 10 of 13 entries

Buyer Intent: Companies Evaluating IBM Watson Studio (ex IBM Data Science Experience)

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating IBM Watson Studio (ex IBM Data Science Experience). Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating IBM Watson Studio (ex IBM Data Science Experience) for ML and Data Science Platforms include:

  1. Hanwha Engineering & Construction, a South Korea based Construction and Real Estate organization with 1000 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

Logo Company Industry Employees Revenue Country Evaluated
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FAQ - APPS RUN THE WORLD IBM Watson Studio (ex IBM Data Science Experience) Coverage

IBM Watson Studio (ex IBM Data Science Experience) is a ML and Data Science Platforms solution from IBM.

Companies worldwide use IBM Watson Studio (ex IBM Data Science Experience), from small firms to large enterprises across 21+ industries.

Organizations such as Accenture, Fifth Third Bank, The Seafood Innovation Cluster, GroupM Nordic and ENTEGA Plus are recorded users of IBM Watson Studio (ex IBM Data Science Experience) for ML and Data Science Platforms.

Companies using IBM Watson Studio (ex IBM Data Science Experience) are most concentrated in Professional Services, Banking and Financial Services and Utilities, with adoption spanning over 21 industries.

Companies using IBM Watson Studio (ex IBM Data Science Experience) are most concentrated in Ireland, United States and Norway, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of IBM Watson Studio (ex IBM Data Science Experience) across Americas, EMEA, and APAC.

Companies using IBM Watson Studio (ex IBM Data Science Experience) range from small businesses with 0-100 employees - 23.08%, to mid-sized firms with 101-1,000 employees - 23.08%, large organizations with 1,001-10,000 employees - 23.08%, and global enterprises with 10,000+ employees - 30.77%.

Customers of IBM Watson Studio (ex IBM Data Science Experience) 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 Studio (ex IBM Data Science Experience) 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.