Comparing 28 vendors in Artificial Intelligence Platform across 254 criteria.

Market Presence
Contenders Contenders
Market Leaders Market Leaders
Emerging Companies Emerging Companies
Innovators Innovators
Absolutdata
Salesforce
Rainbird
Datarobot
Amazon
Wipro
SAS
Oracle
Ayasdi
Qualcomm
Kasisto
SAP
HPE
BIGML
Google
Intel
Microsoft
IBM
Infosys
Vital AI
MSGAI
Faculty
SenseFace
Artificial Solutions
Crowdflower
Figure Eight
ShrlockML
Rapidminer
Product Footprint
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βœ”οΈ What You Get with This Report

  • πŸ“Š

    Comprehensive Company Analysis - Business strategy, SWOT, financials, growth areas, M&A moves

  • πŸ†

    Market Position & Share Insights - Visual competitive landscape (like the quadrant above)

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    Segment-level Benchmarking - Product, region, and end-user vertical

  • πŸ“

    Image & Report PDF Downloads - Ready-to-use for presentations and strategy sessions

  • πŸ“ˆ

    Demand Generation [Optional Buy] - License quadrant to drive demand & showcase leadership

βœ”οΈ Analyst-led

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Company List

Company 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
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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
Research Methodology
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360 Quadrants

360 Quadrants is a scientific research methodology by MarketsandMarkets to understand market leaders in 6000+ micro markets

360 Quadrants

360 Quadrants is a scientific research methodology by MarketsandMarkets to understand market leaders in 6000+ micro markets

Email : agney@marketsandmarkets.com

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