Mona: AI functional monitoring and impact analysis

Mona LabsAn Intellyx Brain Candy Brief

Mona monitors AI delivery pipelines from data preparation, to design and modeling, through deployment, looking for variations in functional integrity and accuracy.

Artificial intelligence projects usually fail to deliver sustainable ROI to organizations. Even when machine learning models are meticulously populated with current data, the resulting inference processes always fade in accuracy over time as human behaviors and system conditions change the operational arena.

Take for instance an AI spam detection routine in the comments section of a site. Clever users and bots will constantly adjust their content and methods in order to bypass expected filters, so the model should be reactive to the cause and effect of spam messages that make it through.

Mona investigates data flowing through the operating AI pipeline as well as rating business outcomes, seeking to spot trends and anomalies and providing a feedback loop for human review cycles and automated model adjustments.

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Principal Analyst & CMO, Intellyx. Twitter: @bluefug