Artificial Intelligence

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  Streaming data

  Connecting with virtually any data source whether structured, unstructured or streaming, and integrate with Data2iQ's AI and ML engine.

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  Intelligent bots

  Acquiring relevant information through automated processes, reasoning, self-correction, and rules for using the information and for reaching conclusions

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  AI & AutoML Engine

  Utilizing AI & AutoML to generate a data analysis pipeline that include pre-processing and feature selection with model formulation that optimizes result.

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  Visual discovery

  Displaying trends, trajectory and insightful results from the analysis of a multitude data points from large volume and high velocity of data.

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  Real-time Data Collection and Exploration

  Data2iQ collects and explores data in real-time using interactive streams and library searches of a multitude combinations of algorithms, data cleansing, and data tuning parameters to produce the best fitted machine learning models for the dataset and prediction. The platform supports various programming languages.

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  Fast, Accurate, Interpretable AI

  Data2iQ is equipped with automatic AI recipes in a box for solving a wide variety of use-cases. In addition to automatic machine learning to find and tune the right ensemble of models, the Data2iQ distributed architecture is capable of running thousands of iterations that drive utilization to achieve best performance.

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  Data Agnostic Bots and Collaboration

  Data2iQ supports all common database and file types to explore and model big data for various industries and use cases. Data2iQ can be installed and deployed in the cloud, on premise, on workstations, servers, or clusters, allowing for real-time collaboration while tracking changes with detailed revision history.

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  Visual Analytics

  Data2iQ scores new data against various models for accurate predictions in any environment. The platform provides a rich visual interface and dashboards to display insights through a wide variety of point-and-click visualizations. It allows stakeholders to share insights with colleagues and customers, or to execute interactive queries within dashboards.