Comparing 28 vendors in Artificial Intelligence Platform across 254 criteria.

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Jun 04, 2023
The Full List

The Full List

Logo Company Headquarters Year Founded Holding Type
Absolutdata Absolutdata Alameda, California, US 2001
Amazon Amazon Washington, USA 1994 Public
Artificial Solutions Artificial Solutions Barcelona, Spain 2001
Ayasdi Ayasdi California, US 2008
BIGML BIGML Oregon, USA 2011
Crowdflower Crowdflower
Datarobot Datarobot Massachusetts, US 2012 Public
Faculty Faculty London, Westminster 2014
Figure Eight Figure Eight California, US 2007
Google Google California, USA 1998
HPE HPE California, USA 2015
IBM IBM Armonk, USA 1911 Public
Infosys Infosys Karnataka, India 2018
Intel Intel California, USA 1968
Kasisto Kasisto New York, US 2013
MSGAI MSGAI San Francisco, California 2015
Microsoft Microsoft Washington, USA 1975
Oracle Oracle Austin, USA 1977 Public
Qualcomm Qualcomm California, USA 1985
Rainbird Rainbird 2018
Rapidminer Rapidminer 2006
SAP SAP Weinheim, Germany 1972
SAS SAS North Carolina, USA 1976
Salesforce Salesforce California, USA 1999
SenseFace SenseFace Beijing, China 2012
ShrlockML ShrlockML
Vital AI Vital AI New York City, New York, United States 2011
Wipro Wipro Karnataka, India 1945 Public
 
Frequently Asked Questions (FAQs)
Natural language generation, speech recognition, virtual agents, text analysis, machine learning platforms, AI optimized hardware, emotion recognition, image decision management, deep learning platforms, biometrics, robotics automation, cyber defense, compliance, knowledge worker assistance, content creation, recognition, and marketing automation are just a few of the technologies that are being developed.
Chatbots, speech recognition, text recognition, face identification, and sentiment analysis are all examples of predictive and prescriptive models.
Accessibility of AI and analytics tools is critical with the development of citizen data scientists. By offering tools for managing the end-to-end machine learning life cycle, AI platforms assist to democratize and productize ML models. They do it by using a SaaS interface that is meant to make user interactions easier for non-technical individuals. Without these platforms, AI's impact would be limited because a larger portion of resources would be spent on developing and maintaining models.
Environment monitoring and reaction for climate change objectives, automated transportation, taking over risky occupations, robots working alongside people, enhanced senior care, cyborg (organic/bio-mechanic) creatures.
 
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Artificial Intelligence Platform

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