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Identifying Potential Security Access Violations
We developed a semi-supervised neural network to identify anomalous security access card swipes in a large corporation with numerous facilities throughout the world, previously hidden secure access violations.
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Surfacing and categorizing 3 million+ risks for Fortune 500 businesses
We developed a custom ML model that was able to surface, identify and classify 3 million+ risks pertinent to any specific company and industry.
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Energy demand prediction for generation management
We developed a deep reinforcement learning model to assist energy producers in scheduling maintenance and minimizing operating costs.
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