AI Data Engines

Correlation

Associate two data sets based on a commonality such as time or date.

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The Veritone correlation — also known as data correlation — engines associate structured datasets with audio and video files based on some commonality, such as temporal or location co-occurrence, for keywords, geography, tags, demographic data, and radio logs to produce a cohesive structured output. For example, television ratings data can be correlated to broadcasts; website visitor data can be correlated to radio advertising; and sports score data can be correlated to game broadcast archives. This correlation enhances search capabilities.

Correlation Features:

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    Custom Structured Data Schemas

    Create custom data schemas via the Veritone aiWARE Developer application for processing of most proprietary structured data sets.

  • Searchable Results

    Identify the keywords, tags, geographic location, and more you are looking for quickly within correlated data with searchable correlation engine output via API and Veritone applications.

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    Near Real-Time Processing

    Process unstructured and structured data in near real-time for use cases requiring quick correlation.

  • Flexible Deployment

    Deploy in a new or integrate into an existing application in the cloud via aiWARE GraphQL APIs, or with a subset that can be deployed on-premise via a Docker container. Learn more.

  • Powered by Advanced Machine Learning

    Leverage advanced geolocation machine learning algorithm from the Veritone data science team.

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