Oculair BI solutions comprise tools and expertise relating to the extraction of 'features' and other insights from public and other high level (anonymised) data derived from RAIR's proprietary datasets.
RAIR Feature Store
RAIR’s feature store is the interface between models and data. Raw data derived from clinical records in Oculair RWE is transformed into features which may help to validate hypotheses formed with Oculair.KE. Oculair.BI can ingest batch, streaming, and real-time data. Features are stored in a central central repository where they are available to the data processes that power ML platforms like Amazon SageMaker.
RAIR's fully-managed feature store helps us to discover, name, organize, store and share sets of features among teams of developers and data scientists. This enables us to use existing features from a central store and drive both standardisation and reuse of features across teams and models - providing greater leverage of our data; feature standardisation across different AI model runs in the AI model life cycle; and driving efficiency in model engineering.
RAIR Data Insights Tool
RAIR's data insights tool provides , serverless, embeddable, machine learning-powered data insights derived from our data repositories. These tools make it easier for data science teams to perform advanced analytics (e.g., what-if analyses, anomaly detection, ML-based forecasting etc.) which provide "bottom up" insights on the data (as opposed to the "top down" approaches employed by Oculair KE).
What can Oculair BI do for you? Please check out our website or fact sheet or get in touch with us today so that we can set up a demo.
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