Near Real Time

Insights and analytics are obsolete in today’s frenetic global economy unless they are immediate, actionable, and use only the highest quality datasets. Cerebri AIQ data engineering and AI modeling platform was built with this express view in mind.

It has been designed and developed over the past eight years since our startup in 2016 to enhance, QA and reconcile disparate datasets into one source of truth as required, be it for corporate travel & meetings, or other areas of enterprise activity.

We did not stop there, we process both structured and unstructured data – in near real-time.

This was accomplished by resolving a key aspect of AI modeling which is the generation of engineered features on the fly.

We did not stop there, we process both structured and unstructured data – in near real-time.

This was accomplished by resolving a key aspect of AI modeling which is the generation of engineered features on the fly.

What are engineered features?

A good example in corporate travel would be how to predict the cost of a trip booked by a Road Warrior (so named as they travel constantly).

One key data element for predicting the cost of their next trip might be – the average cost of the air fare, hotel stays and ground transportation expenses over their past five or 10 trips.

Every time a trip is completed these averages must be re-calculated. Engineered features are highly influential in deriving insights or predictions that drive best-in-class results.

Engineered features in Cerebri AIQ are re-calculated as the data changes, not when the metric using such an engineered feature is needed.

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