Ominis is an Advanced Data Management and Digital Data Mining platform based on sophisticated Artificial Intelligence (AI)/deep learning algorithms in conjunction with Big Data technologies, which can be applied to a wide range of computing platforms including large, small, and cloud-based architectures.
Big Data is critical in the assessment and planning for numerous fields to include scientific and business markets. While the strategic, operational and tactical knowledge derived from Big Data is quite valuable, the complexity and immense amount of data generated threatens to overwhelm traditional relational database approaches.
Technical
The Ominis Deep Learning algorithms can automatically estimate metrics, generate quick-look reports and provide predictive metrics from large-scale data. The automated processing of the AI networks also provides insight into the data itself to unlock hidden value. Adept at handling large volumes of data, Ominis can reliably identify and detect subtle features and data trends, and provide a set of tools that allow Subject Matter Experts (SMEs) to understand and evaluate data more effectively.
The Ominis hybrid network architecture combines Recurrent Neural Network (RNN) cells with convolutional layers to mimic the reasoning capacity of SMEs. RNNs allow the network to learn temporal relationships between input states and the classification task goal. The network can integrate easily into a wide array of existing computational platforms, with minimal impact to the operating efficiency. Designed for large-scale computing clusters, Ominis can scale horizontally and vertically to handle terabyte and petabyte sized data. Ominis performs with excellent speed, efficiency and accuracy, with the architecture providing a proven approach to classifying available data for analysis.
