Cognitive computing systems are developed using Natural Language Processing (NLP) and machine learning algorithms to sense, predict, and conclude a particular situation. The cognitive computing enables machines and humans work together. Cognitive computing is a problem-solving approach that uses hardware or software to approximate the form or function of a cognitive computing system. Major cognitive process includes learning, perception, and motivation. It is a probabilistic approach and not just a deterministic application that answers in only yes or no. There are two major approaches to cognitive computing: Neuromorphic Architecture: In this approach, computer or device systems are modeled after biological systems or components, such as neurons or synapses. These may be implemented in analog, digital, or hybrid hardware. Functional Equivalence: his approach modeled based on the behavior of biological systems and could successfully perform tasks that a human being can, such as sense and act based on observations.

VISIONARY LEADERS

Visionary leaders are the leading market players in terms of new developments such as product launches, innovative technologies, and the adoption of growth strategies. These players have a broad product offering that caters to most of the regions globally. Visionary leaders primarily focus on acquiring the leading market position through their strong financial capabilities and their well-established brand equity.

INNOVATORS

Innovators in the competitive leadership mapping are vendors that have demonstrated substantial product innovations as compared to their competitors. The companies have focused on product portfolios. However, they do not have very strong growth strategies for their overall business, when compared with the visionary leaders.

DYNAMIC DIFFERENTIATORS

Dynamic Differentiators are established players with very strong business strategies. However, they have a weaker product portfolio compared to the visionary leaders. They generally focus only on a specific type of technology related to the product.

EMERGING COMPANIES

Emerging companies have niche product and service offerings. Their business strategies are not as strong as that of the established vendors. The emerging vendors include the new entrants in the market, emerging in terms of product portfolio and geographic reach, and require time to gain significant traction in the market.

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Cognitive Computing Solutions Quadrant

Comparing 43 vendors in Cognitive Computing Solutions across 224 criteria.

Find the best Cognitive Computing Solutions solution for your business, using ratings and reviews from buyers, analysts, vendors and industry experts

EVALUATION CRITERIA

Below criteria are most commonly used for comparing Cognitive Computing Solutions tools.
  • Breadth and Depth of Product Offerings
    • Please provide a list of cognitive computing product/solutions/tools.
    • Which product variants or licenses (such as enterprise, professional) do you offer? What is the difference in each of them?
    • Which of the following services do you offer for cognitive computing space? Can you please provide a brief about the services you offer?
      • Education & Training
      • Support & Maintenance
      • Managed Services
      • Technology Consulting
      • Deployment & Integration Services
    • For which of the following enterprises your cognitive computing solution/product caters to?
      • Small Enterprise (Revenue< 100 Million)
      • Medium Enterprises (100 Million<Revenue<500 Million)
      • Large Enterprises (Revenue> 500 Million)
  • Product Features and Functionality
    • Which of the following type of technology does your solution/product caters to?
      • Natural Language Processing
      • Machine Learning
      • Automated Reasoning
      • Other Technologies
    • Which of the following features does your product offer? Can you please provide a brief about the features you offer?
      • Adaptive
      • Stateful
      • Interactive
      • Contextual
      • Iterative
      • Human Brain
    • Which of the following areas does your cognitive computing solution/product caters to?
      • Speech Recognition
      • Text Recognition
      • Emotion/Sentiment Recognition
      • Data Pattern Recognition
  • Delivery
    • Which of the following is the most preferred mode of delivery at client locations?
      • Full Time Equivalent
      • Subscription / Licensing
      • Per User Basis
    • Which of the following deployment model do you provide?
      • On-Premise
      • Hosted / On-Cloud
    • How do you deliver your solutions to your customers?
      • Directly
      • Through Partners / Third-Party Vendors / MSSPs
  • Business Applications
    • Kindly provide the minimum hardware and/or OS configuration required for deploying/running your solution/product.
    • Does your product/solution able to expand it's capability according to increasing data load?
  • Support and Services
    • How many levels of support (such as silver, gold, and platinum) do you offer? What is the difference in all of them?
    • Please elaborate the customer redressal mechanism/program in case of customer complaints/grievances.
    • Which of the following type(s) of support service your company offers?
      • Technical Support
      • Customer Support
      • Sales Support
      • Others, please specify
    • Which of the following pre-sales support activities do you provide?
      • Software Requirement Specification (SRS)
      • Product Demos
      • Proof of Concept
      • Dedicated Account Manager (DAM)
    • Which of the following is the most preferred medium of delivery of support services?
      • On-Site Support
      • Remote Support

TOP VENDORS

    • Startup
    • California, US
    • Founded: 2013
    • Below $10 MN
    • 101 to 500
    • Startup
    • 501 to 1,000
    • Startup
    • California, US
    • Founded: 2005
    • $11MN to $50MN
    • 51 to 100
    • SME
    • California, US
    • Founded: 1997
    • $101MN to $500MN
    • 101 to 500
    • Enterprise
    • 1 to 50
    • Startup
    • Ontario, Canada
    • Founded: 1984
    • Below $10 MN
    • 1 to 50
    • Enterprise
    • California, USA
    • Founded: 1976
    • More than $100 BN
    • 1,00,001 to 5,00,000
    • Startup
    • 501 to 1,000
    • Startup
    • Tel Aviv, Israel
    • Founded: 2012
    • 1 to 50
    • Startup
    • Corvallis, OR, US
    • Founded: 2011
    • 1 to 50
    • Startup
    • Illinois, US
    • Founded: 2013
    • Below $10 MN
    • 101 to 500
    • SME
    • Austin, Texas, US
    • Founded: 2013
    • 101 to 500
    • Startup
    • 501 to 1,000
    • Enterprise
    • 1 to 50
    • Startup
    • California, US
    • Founded: 2013
    • Below $10 MN
    • 101 to 500
    • Startup
    • Newtown, Pennsylvania, US
    • Founded: 2002
    • Below $10 MN
    • 51 to 100
    • Startup
    • Connecticut, US
    • Founded: 2006
    • Below $10 MN
    • 51 to 100
    • Enterprise
    • California, US
    • Founded: 1956
    • $500MN to $1BN
    • 1,001 to 5,000
    • Startup
    • California, US
    • Founded: 2007
    • Below $10 MN
    • 51 to 100
    • Enterprise
    • California, US
    • Founded: 1998
    • More than $100 BN
    • 75,001 to 1,00,000
    • Startup
    • California, US
    • Founded: 2008
    • 101 to 500
    • Enterprise
    • Palo Alto, California, United States
    • Founded: 2015
    • 10,001 to 15,000
    • Enterprise
    • 1 to 50
    • SME
    • California, US
    • Founded: 2005
    • Below $10 MN
    • 501 to 1,000
    • SME
    • New York, US
    • Founded: 1975
    • $101MN to $500MN
    • 1,001 to 5,000
    • SME
    • New York , USA
    • 1,001 to 5,000
    • Startup
    • Bracknell Forest, UK
    • Founded: 1987
    • Below $10 MN
    • 51 to 100
    • Enterprise
    • Washington, USA
    • Founded: 1975
    • More than $100 BN
    • 1,00,001 to 5,00,000
    • Startup
    • 501 to 1,000
    • Startup
    • Washington, US
    • Founded: 2002
    • $11MN to $50MN
    • 101 to 500
    • Enterprise
    • Massachusetts, US
    • Founded: 1992
    • $1BN to $5BN
    • 10,001 to 15,000
    • Enterprise
    • California, USA
    • Founded: 1977
    • $10BN to $50BN
    • 1,00,001 to 5,00,000
    • Enterprise
    • 1 to 50
    • Enterprise
    • Pennsylvania, US
    • Founded: 1993
    • $1BN to $5BN
    • 1,001 to 5,000
    • Enterprise
    • San Diego, California, US
    • Founded: 1985
    • $10BN to $50BN
    • 30,001 to 35,000
    • Startup
    • California, US
    • Founded: 2012
    • $11MN to $50MN
    • 501 to 1,000
    • Enterprise
    • 501 to 1,000
    • Enterprise
    • North Carolina, USA
    • Founded: 1976
    • $1BN to $5BN
    • 10,001 to 15,000
    • Startup
    • New York, US
    • Founded: 2004
    • Below $10 MN
    • 501 to 1,000
    • Enterprise
    • Washington, US
    • Founded: 2003
    • $500MN to $1BN
    • 1,001 to 5,000
    • Enterprise
    • California, US
    • Founded: 1979
    • $1BN to $5BN
    • 10,001 to 15,000
    • Enterprise
    • 1,001 to 5,000
    • Startup
    • 501 to 1,000

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