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Powered by machine learning and big data analytics, Era is a proprietary automotive intelligence engine designed to unlock the full potential of your data, finding the correlation between any data set provided by any source and in any format.
As a self-learning engine, Era requires minimal human input and guidance, intuitively generating innovative models and discovering hidden patterns without human bias or intervention.
As a self-learning engine, Era requires minimal human input and guidance, intuitively generating innovative models and discovering hidden patterns without human bias or intervention.
By normalizing and processing the data points provided, Era not only answers your questions but provides the questions you didn’t know you should be asking.
By normalizing and processing the data points provided, Era not only answers your questions but provides the questions you didn’t know you should be asking.
Because Era operates semi-independently and can find the most useful connections between the data points, it is more cost-effective than other intelligent platforms that rely on teams of data scientists who have to constantly evaluate, improve and guide the technology.
Era can consume data of all types, in all formats. This includes video, audio, images, text, time series, etc. All datasets are normalized into a universal data format.
Era can be seeded with historical data and take in new data in real time, as it’s generated.
This process is traditionally performed over months/years by a large team of costly data scientists, and can be reduced to hours with Era.
Era calibrates existing models over time, and even discovers new models as correlations are validated, or new data is added.
Era can build on the intelligence it gains from a known dataset, opening the door for new datasets to be uncovered as derivatives of the initial dataset.
The models that Era produces and maintains are then wrapped in intelligence service APIs that can be consumed in mobility apps, services, and solutions.