when humans are involved:

when they are trained with human behavior.
when they interact with, or impact, people.

We change how machine learning is done at modern digital platforms

Enhance user experience, minimize bias, establish a fair environment for merchants, and ensure the long-term health of the platform.

Humans are biased. Learning from user behavior data collected from their interaction with the system differs from standard machine learning.
When user behavior is not accurately interpreted, even basic statistics are biased, wrong and misleading, let alone sophisticated machine learning algorithms for ranking and recommendation.

Contact us for a comprehensive ML excellence program, delivered through a series of training, workshop, and advisory sessions followed by a series of transformation projects.