FIGURE EIGHT in Predictive Analytics Software

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FIGURE EIGHT
California, US
2007
$51MN to $100MN
Enterprise
42 Likes
81 Buyers Negotiating

Summary

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.

Discussions

Strengths
  • +5
    Data Investigation
  • +11
    Natural Language Processing (NLP)
  • +6
    Statistical Modelling
  • +5
    Customer Data
  • +9
    Data Blending
  • +8
    Data Preparation (Data Management)
  • +12
    Demographic
  • +13
    Firmographic
  • +11
    Geo Spatial
  • +11
    Interactive Visualisation
  • +14
    Location [Pincodes]
  • +7
    Marketing Data
  • +12
    Real Time Dashboarding
  • +14
    Report Automation
  • +13
    Report Generation
  • +10
    Static Visualisation
  • +6
    Transaction Data
  • +6
    Custom Scripting Language
  • +14
    Support for Custom Data Connectors
  • +14
    Advanced Condition Prediction
Cautions
  • -5
    Outmoded UI
  • -14
    Advanced Condition Prediction
  • -9
    Analytics Workflow
  • -11
    Apache Spark
FIGURE EIGHT Presence in Predictive Analytics Software
Figure Eight uses human intelligence to undertake simple tasks, such as transcribing text or annotating images to train machine learning algorithms. Its software automates tasks for machine learning algorithms, which can be used to improve catalog search results, approve photos or support customers and the technology can be used in the development of self-driving cars, intelligent personal assistants, and other technologies that use machine learning.
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