FIGURE EIGHT in Predictive Analytics Software

Figure Eight is a platform that uses both machine and human intelligence to transform data available in varied forms into a customized one for a number of use cases such as intelligent chatbots, autonomous vehicles, natural language processing, consumer product identification, and others.

Features

  • Creates training data for various models in number of languages: Figure eight uses a team of skilled annotators that helps annotate content and develop models in various languages.
  • Supports various use cases: Satellite and medical imagery, autonomous vehicles, and consumer packaged goods are some of the major use cases of this platform.
  • Flexibility and customization: Any sort of data can be collected, annotated, and classified.

USP : Figure Eight is a platform that uses both machine and human intelligence to transform data available in varied forms into a customized one for a number of use cases such as intelligent chatbots, autonomous vehicles, natural language processing, consumer product identification, and others.USP of this platform is Human-in-the-Loop Machine Learning stage changes unstructured content, picture, sound, and video information into customized high-quality data.

BUYERS
VENDORS
EXPERTS
0.6
ANALYSTS

FIGURE EIGHT detailed analysis

Product Maturity
Company Maturity
Use Case Maturity
Most IMPORTANT
0.2
3.7
3.2
Product Quality and Reliability
0.00
3.20
2.85
Product Features and Functionality
0.50
2.80
3.00
Breadth and Depth of Product Offering
0.00
4.25
3.70
LEAST IMPORTANT LESS IMPORTANT

PARTICIPATING QUADRANTS

FIGURE EIGHT has chosen it’s strengths in these 3 territories
  • Niche Quadrant

    All-Middle East and Africa

    16 Participants

  • Niche Quadrant

    All-North America

    31 Participants

  • Niche Quadrant

    Retail-All

    26 Participants

SECTORS
REGIONS
Middle East and Africa North America
STRENGTHS
  • Product Maturity / Core Features
    Data Investigation
  • Product Maturity / Core Features
    Natural Language Processing (NLP)
  • Product Maturity / Core Features
    Statistical Modelling
  • Product Maturity / Data Collections
    Customer Data
  • Product Maturity / Data Management
    Data Blending
  • Product Maturity / Data Management
    Data Preparation (Data Management)
  • Product Maturity / Data Collections
    Demographic
  • Product Maturity / Data Collections
    Firmographic
  • Product Maturity / Data Collections
    Geo Spatial
  • Product Maturity / Data Management
    Interactive Visualisation
  • Product Maturity / Data Collections
    Location [Pincodes]
  • Product Maturity / Data Collections
    Marketing Data
  • Product Maturity / Data Management
    Real Time Dashboarding
  • Product Maturity / Data Management
    Report Automation
  • Product Maturity / Data Management
    Report Generation
  • Product Maturity / Data Management
    Static Visualisation
  • Product Maturity / Data Collections
    Transaction Data
  • Product Maturity / Product Quality and Reliability
    Custom Scripting Language
  • Product Maturity / Product Quality and Reliability
    Support for Custom Data Connectors
  • Product Maturity / Core Features
    Advanced Condition Prediction
WEAKNESSES
  • Product Maturity / Data Management / Interactive Visualisati...
    Outmoded UI
    The interface is not intuitive and has a dated appearance.
  • Product Maturity / Enterprise Features
    Analytics Workflow
  • Product Maturity / Integration with Big Data Frameworks / Da...
    Apache Spark
  • Product Maturity / Enterprise Features
    Auto-scaling
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TOP FEATURES
  • Product Features and Functionality
    Core Features
  • Core Features
    Natural Language Processing (NLP)
  • Core Features
    Data Investigation
  • Core Features
    Statistical Modelling

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FIGURE EIGHT Presence in Predictive Analytics Software

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