Comparing 28 vendors in Artificial Intelligence Platform across 254 criteria.
Contenders
Market Leaders
Emerging Companies
Innovators
Absolutdata
Salesforce
Rainbird
Datarobot
Amazon
Wipro
SAS
Oracle
Ayasdi
Qualcomm
Kasisto
SAP
HPE
BIGML
Google
Intel
Microsoft
IBM
Infosys
Vital AI
Artificial Solutions
ShrlockML
Rapidminer
MSGAI
Faculty
Figure Eight
SenseFace
Crowdflower
Access Research To
- Expand Total Addressable Market
- Formulate Go To Market Plans
- Build Competitive Right to Win
- Identify Top Customers to Grow
Error!!!
Oops! Something went wrong. Please try again later.
POWERED BY MARKETSANDMARKETS
Oct 10, 2024
The Full List
The Full List
Company | Headquarters | Year Founded | Holding Type |
---|---|---|---|
Absolutdata | Alameda, California, US | 2001 | |
Amazon | Washington, USA | 1994 | Public |
Artificial Solutions | Barcelona, Spain | 2001 | |
Ayasdi | California, US | 2008 | |
BIGML | Oregon, USA | 2011 | |
Crowdflower | |||
Datarobot | Massachusetts, US | 2012 | Public |
Faculty | London, Westminster | 2014 | |
Figure Eight | California, US | 2007 | |
Mountain View, USA | 1998 | Private | |
HPE | Houston, USA | 1939 | Private |
IBM | Armonk, USA | 1911 | Public |
Infosys | Karnataka, India | 2018 | |
Intel | Santa Clara, USA | 1968 | Public |
Kasisto | New York, US | 2013 | |
MSGAI | San Francisco, California | 2015 | |
Microsoft | Redmond, USA | 1975 | Public |
Oracle | Austin, USA | 1977 | Public |
Qualcomm | California, USA | 1985 | |
Rainbird | 2018 | ||
Rapidminer | 2006 | ||
SAP | Weinheim, Germany | 1972 | |
SAS | North Carolina, USA | 1976 | |
Salesforce | California, USA | 1999 | |
SenseFace | Beijing, China | 2012 | |
ShrlockML | |||
Vital AI | New York City, New York, United States | 2011 | |
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.
Research Methodology